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Why LinkedIn should acquire AngelList

Had predicted earlier that LinkedIn shall acquire SlideShare; Two years back I wrote that Quora should be acquired by LinkedIn, though that has not happened yet, I strongly feel its imminent to happen. Adding to that list, I strongly feel AngelList will be acquired by LinkedIn.

While LinkedIn continues to grow (it recently crossed 200 Mn users), Naval & Nivi’s efforts on AngelList have been spectacular. Over 100,000+ companies/startups listed, 2% of them are hiring (through AngelList) and over 200,000+ early adopters (which includes people who matter) on the platform. And there is speculation that AngelList is raising investments at a valuation of over $150 Mn USD.

Among few user trends I am noticing with regards to AngelList – People from startup community on Twitter are replacing LinkedIn profile links with AngelList.

Here is why I feel LinkedIn should acquire AngelList –

  • LinkedIn appeals to larger audience across multiple sectors, but startups is where the action is. For startups, AngelList is more valuable than LinkedIn.
  • Startups (or companies) are present and more active on AngelList than on LinkedIn.
  • While LinkedIn is professional resume, business connections, AngelList is business in action for Startups. Take a business vertical and be immensely valuable to them, AngelList is perfect example for this.
  • AngelList is not just beneficial to startups, but also to the entire community of startup ecosystem. Its API now handles over 3 Million requests per day.
  • AngelList is rolling out features at a much faster pace than LinkedIn… Introductions, Hiring through AL, Investing directly in startups, showcasing marquee customers for companies, service providers and so on. 
  • It will be very difficult (next to impossible) for LinkedIn to replicate such products for a particular vertical like startups. But it might be easier for AngelList to move beyond the tech startup community.
  • Technology is shaping every domain. As startups are established in multiple business verticals, it will attract talent and early adopters from every segment on to AngelList… to a point that in future AngelList might be a threat to LinkedIn.

When Quora was small, its biggest challenge was to break beyond the startup community. I don’t foresee AngelList wanting to immediately expand beyond the startup community and its focus will continue to be startups for some time.

And yes these are the early trends. With that I include a possible acquisition of AngelList by LinkedIn to my list of Tech Predictions.

Forget coding. Startup founders should focus on Product & Design.

Last year (2011) learning coding was hot, may be it still is. Sites like Code for America came up; startups like Codecademy, Learnstreet, Udacity, etc came up that were focusing on building products that enabled others to learn coding in an interactive way. Then it looked like a kind of movement, a revolution in making.

Being a startup founder some of those effects trickled down to India – that made me seriously consider coding. And there were some other reasons as well. We started Wishberg by outsourcing product development to another company. As deadlines were missed repeatedly, this whole ‘founders should be coders’ effect started growing on me.

During this phase I did two things a.) started hiring our own engineering team b.) learn coding inspired by this noise. I started learning very enthusiastically to an extent that my bio read that I was learning to code. Going through multiple forums, registering on these websites, taking lessons on LAMP stack and so on. A bit of background, being a engineering student (though Mechanical) – I had some basic coding background. Few years back, I even built some basic websites, did a bit of javascripts, etc.

As we started hiring engineering talent I asked myself two questions –

  • Will I ever come up to the level of proficiency that matches our engineering team?
    No. I was no where close to them.. while I was doing ABC of coding, our team was super involved in deploying code, implementing Redis / Node.js, building scalable architecture, mobile infrastructure and so on. I didn’t want my team to tell me I suck on programming (which I knew I did anyway). More importantly, I wanted the team to focus on building our product and not spend timing teaching me code or correcting my code.
  • Will I ever hire anyone who has learned programming through online sites?
    No

I also checked with few technical founders who raised investments; few agreed that being a tech founder was probably a added advantage while raising money. But many of them also mentioned that post investment they spent more time finding product-market fit, doing business, improving their product, user experience, managing investors (many a times!) and eventually spending lesser and lesser time on coding themselves.

Eventually all startup founders end up focusing only on consumption side of product (front end user experience, improving funnels and conversion metrics) than the one under the hood. This is when I gave up my decision to learn coding and started focusing on learning design (user design and user experience) which is as core to product as technology is. I started spending more time understanding design tools, design patterns and implementing them on Wishberg. I am no where saying underlying technology, architecture, speed, and scalabilty are not important.

For online businesses, there is no doubt scarcity of good engineering talent; but there is more scarcity of product designers and even much more scarcity of product managers. Startup founders knowingly / or unknowingly start getting into product management role.

I have been a product guy for about 7 years and now feel that I should have learned design long back. Our team not just gets product documentation from me, but also product designs including all scenarios and exceptions. There is a certain clarity of thought which engineers appreciate and exactly know what is to be built – which save lot of time while shipping code / features. Every month, we look at data, un-design by removing clutter, remove additional clicks and aim to improve conversions on every step.

Geek Example – The 2012 Formula 1 Season had 12 teams of which 4 had the winning Renault RS27-2012 engine on their cars. Yet there was only one winner – The Red Bull Racing team. The original Renault team (now Lotus Renault GP) which manufactured and supplied the RS27-2012 engine to Red Bull team stood fourth in overall 2012 championship. In fact Red Bull won the championship for last 3 seasons with the Renault engine. What really mattered – the product RB8 chassis. More importantly the people driving the product, its team – drivers Sebastian Vettel & Mark Webber, Team Principal and Chief Technical Officer.

Concluding Notes:
What engine you have under the hood (technology) matters. What car / chasis the engine drives (the product) matters more. But what matters most is who is driving / leading it. Don’t get over obsessed with technology, focus on product & design.

So all those who complimented us on Wishberg‘s product design & usability… need a hint on who was the person behind it? Yours truly.

Why Mobile First is not the Right Strategy!

Startup events and Investor talks today have this catch phrase – ‘Mobile First’. Its actually started two years back when Fred Wilson wrote a post that says “Mobile First Web Second.

I recently tweeted, “Can write a post why ‘Mobile First’ is not a right strategy!”. The response to that made me write this post.

Why I said that?
There are some brilliant mobile apps created by startups in recent years, the biggest challenge for all of them is discovery. Few startups are working in this problem too – helping users to discover your mobile apps. The problem is – these startups themselves are struggling in getting users to discover them first.

Google’s Android has over 700,000 apps in Play Store. Apple’s iOS App Store has over 700,000 apps. Assuming these were unique, as a entrepreneur, your startup has to fight with over 699,999 competitors on user’s smartphone, who on an average has only 65 apps installed. Another trend, many users regularly uninstall apps they do not use; once uninstalled – it is very unlikely they will install it again!

Building a successful startup requires two skills – building a product and marketing it. I tweeted that few days back – “Building a product is one thing. Marketing it is another. Remember that!”

Building the Product
Product development in startup is not easy. Everyday there are at least 3-5 updates to the live web application. Even before users realize, they are using on the latest version of web app.

On mobile this is tricky, its impossible to send 3-5 daily releases for your mobile app everyday. Its even more trickier to get your users to download and upgrade the latest version of mobile app every time.

Marketing the Product
Turn around and look at web – what are the ways you can get your start up discovered – Natural Search, Paid Search, Display Marketing (Advt based or Behavior based targeting), Social, Email Marketing and so on. Most of these is very flexible, you can do it all.

On mobile, there is only one mode of discovery that works – Mobile Advertising. Its still not a easy mode of advertising; far expensive; spray and pray approach as its not intent driven (remember – no one is asking for your app!) like Google Adwords and extremely less efficient since its end result is not landing page with one-click sign-up, but its downloading the app, registering the user and retaining him as well.

Btw, I am a believer in products that are driven by value to customers; and not through marketing.

So how does one get Mobile Strategy right?
Glance through the smartphone and check the apps you are most actively using. Its Facebook, Twitter, Gmail, Evernote, Quora and so on. These are essentially web first, mobile later products.

Effective Mobile Strategy is simple – get your product right on the web, acquire initial users, iterate your product (fast), get it right quickly, ensure engagement is in place. Once you have users engaged on the web, they will see value in your product to download your app and stay connected.

Hint – Look at Quora. It was valuable to its initial set of users who were so engaged with the product that they were screaming for getting a mobile app. Quora launched iOS app in Sept 2011; Android App a full year later in Sept 2012.

As a product manager, know that driving adoption and driving engagement for a product are two different things. Don’t try to drive adoption of your product through mobile, its extremely challenging and next to impossible. Instead use mobile as a extension of your product to drive engagement.

Then what about WhatsApp, Instagram, FourSquare, Pulse, Angry Birds and others?
I don’t think anyone has defined this yet, so let me say what are truly mobile first verticals –

  • Communication – If core of your product is deep integration with phone address book. (Eg, WhatsApp)
  • Location – If core of your product starts with location awareness. (Eg. FourSquare)
  • Camera – If core of your product starts with ‘taking’ photos. (Eg. Instagram)
  • Free Time – If core of your product is being valuable to user on the move or leisure time. (Eg. Games, News aggregation services like Pulse). Again extremely difficult category – you compete with Facebook, Twitter and 1000s of apps in this segment.

Yes. These products are not exceptions – they are truly mobile first products.

Wait, will VCs invest in my startup if I dump Mobile First approach?
Next time anyone suggests you or advises you to go Mobile First, just ask them tips to hack app discovery and drive adoption.

The games of investing are simple. VCs will invest only if –

  1. A proven team or experience entrepreneurs (at least 1X entrepreneurs)
  2. If consumer startup – then traction; if enterprise startup – then revenue.

I don’t think any VC will invest in your startup just because you are Mobile first. Take any strategy – web first or mobile first; as long as you get the above two things right for your product – VCs will chase you!

Concluding Notes:
While I was drafting this post, two interesting posts related to this topic came up.

Fred Wilson wrote following in his post “What has changed“, – “Distribution is much harder on mobile than web and we see a lot of mobile first startups getting stuck in the transition from successful product to large user base. strong product market fit is no longer enough to get to a large user base. you need to master the “download app, use app, keep using app, put it on your home screen” flow and that is a hard one to master.”

Cristina Cordova put up some interesting stats about User Retention in her post – “The Biggest Problem in Mobile: Retention.

Restating it again as concluding remarks: “Mobile Strategy is simple. Get your product right on the web, acquire initial users, iterate your product, get it right, ensure engagement is in place. Once you have users engaged on the web, they will see value in your product to download your app to stay connected.”

Update: I received few notes from startup founders to also include a important note in this article which I missed – ‘Even when you build a web application, design your product as a responsive web design’. I completely agree.

Another good way to collect User Feedback

As a product guy for many years I have used multiple methods / tools to collect user feedback. Some analytic tools that are under the hood like Google Analytics, Omniture, Kissmetrics, etc and others that are on the face of user like WebEngage, UserVoice, etc. If you love your product, any amount of feedback that you receive will be less.

For Wishberg, we wanted to hear more and so we introduced a feedback screen on the logout page. When any user logs out of his Wishberg account, its right there for users to share how their product experience was. Try out how this works on Wishberg, alternatively below is the screenshot of same.

Wishberg Feedback

The rational behind doing this is simple. If you have noticed, few years back when you logged out of web email services like Yahoo or others, they placed a huge banner advertisement on the subsequent page. Many of these advt banners had a CTR of 3% to 6% making it the most prime properties for advertisers. We replaced that advt spot with feedback.

Users have been very vocal in telling us what the love/hate about Wishberg and also pointing out what they want in the product. For a product owner it is probably the best way to collect feedback, equivalent to talking to your users. I hope to see many more product owners doing something similar to this.

Repost + Update: Isn’t it time to re-look how TRPs are measured?

Few days back ( last week of July 2012) – NDTV filed lawsuit against Nielsen for manipulating TV & viewership data. Medianama highlighted few key notes from that – posted here. Later learned that even Prasar Bharati was considering legal action against TAM.

All of this reminded me of one of the posts I wrote last year (May 2011) – Isn’t it time to re-look how TRPs are measured?. Re-posting the same with small edits to reflect change over recent events and few additional notes.

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This post is dedicated to John Wanamaker, credited for setting advertising standards and considered by few as father of advertising. John Wanamaker died in 1922. Had John lived today – he would have some interesting quotes to share on RoI in digital advertising. This post is inspired by one of his very famous quotes – “Half the money I spend on advertising is wasted; the trouble is I don’t know which half.”


The term RoI became a buzz word ever since Digital advertising started to gain prominence in last few years. Talk to any brand manager today on digital spends through any channel – Search, Social, Display or Email – his quick conclusion on effectiveness of any campaign will be based on ROI. Online advertising has taught digital media professionals to be ROI-driven.

Pitch any campaign today on Digital – both Brand Manager and the Digital Marketer sound no less than a Investment Bankers trying to advice its client on a multi-million dollar deal discussing on its investment, returns, profitability and more. The same Brand Manager or Media Buyer will simply look at TRPs of any channel/program and allocate about 50% of its media spends to Television, distribute a significant chunk between Outdoors, Newspapers, Radio and leave a minuscule 5%-10% to Digital.

Well, this post is not about how Digital Medium today is perceived as ROI driven. This is very unlikely to change in coming years, maybe it is standard now. The question to raise is – isn’t it time to re-look how TRP ratings are measured rather than blindly accepting the reports as provided?

First – to know more about what is TRP and how they are measured using people meters – read this excellent post on Television Point.

For those who have not seen a People Meter – here is one below:

People Meter

credit: image source

 

Here are some questions usually asked about the authenticity of TRP ratings –

  • In India – TRP People Meters are installed only in 16 cities across 9 states; Less than 10,000 people meters are installed – would they be good enough to reflect insights on Television Viewership of a country as large and diverse in demographics & culture as India? (TAM on its about us section says 8150 homes in over 165 cities & towns.)
  • There is little or no transparency on number of households with People Meters installed, techniques of data collection & interpretation, and how the data is extrapolated to whole population. Are there any validations if the meters were correctly operated (they look difficult to operate) and data collected the way it should have been?
  • People Meters were always perceived as expensive devices since invention; with advancements in technology – why have the People Meters not proliferated to a wider reach? This QnA on Nielsen website suggests the cost is $5000 per year (which includes multiple operating and labor costs). Btw, a technologically advanced device like iPhone is much cheaper!
  • Is there any control by Government authorities on collection of this data and authenticity of same.
  • How will any marketer, advertiser or broadcaster challenge authenticity of the TRP ratings released.

And in world of digital economy, let me add few more questions to above arguments –

  • Now people are socially connected through social networks, it is very difficult to spot people who mention they have subscribed to People Meters (note – it is mentioned that their identity is secret.)
  • On Google’s image global index – there are not many images when you search for “people meter”.

In today’s world anything that happens in offline world leaves a footprint online. Absence of digital footprint for “people meter” wants me to question the proliferation of such devices in real world.

 

The DTH Effect –

Direct-to-Home (DTH) or Satellite Televisions are today immensely popular amongst masses. In India – its reach is 44 Million subscribers in November 2011; and India is probably the world leader in DTH subscriptions now. 44 Million would be a better representation of viewership data – compared to the dismal < 10,000 people meters installed in India.

aMap works with DTH service providers – but it is unlikely to capture data across all subscribers and might be following the people meter approach. Brand Managers are believed to be more inclined towards TRP ratings provided by TAM for decision making while aMap ratings are for reference.

Its most unfortunate if DTH platforms are unable to track viewership data. That is like Air Traffic Controllers saying – there are 500 planes in skies today – we are unaware of their origins & destinations, can confirm with pilots only when they land.

 

TRP Measurement – Its time to Change!
Fundamentally – People Meter approach will always be poor representation of the population. As spends on digital media start increasing and reaches a critical mass, sooner or later TRP measurement will be questioned by same decision makers who accept it blindly today.

Existing global players like Nielson, TNS, & others involved need to look beyond people meters – either with a better people meter / larger base for viewership data / or else a Government, TAM or another Neutral agency making it mandatory for DTH service providers to track viewership patterns.

Fortunately or Unfortunately, the future of TRP & GRP measurement will be digital. Here is overview of how possibly TRPs will be measured in digital world –

  • Develop applications across digital channels – Internet, Mobile (Java, iOS, Blackberry, Android, Symbian and others)
  • For every location (geo by country / location) – populate information stream of programs currently broadcasted at that time.
  • Allow users to select the programs they viewed and report the same back to the measuring system through the applications.
  • User demographics will known at time of App-Registration / FB Connect / or otherwise.

There may be ways to authenticate user viewership patterns. Instead of focusing on data collection through people meters, with same efforts & resources – it will be possible to crowdsource viewership data for programs and channels across millions of users – all in real time. The challenge for this apps will be – what incentive will consumers have to report such data.

Had toyed the idea of crowdsourcing public data – on Twitter / Facebook in real time to develop a WRP (Web Rating Points for Television Viewership). But for now this too might be a challenge – currently it is reflection of TIER 1/2 audience hooked on to Social Networking, which too will be a poor representation of diverse India (maybe another set of ratings that will be questionable like TRPs); Another challenge being – its far more easier to create duplicate accounts on Facebook / Twitter and further much easier to manipulate ratings.

Like many internet products today follow the rule – mobile first, web later; Television viewership in few years will be – digital first. And so will the viewership ratings or measurements too. You never know – maybe a Hulu.com or YouTube.com will provide us the future TRPs. Please glance through some of earlier thoughts shared on – The Future of Television.

Even in India, we are seeing a bunch of startups building products around Television Content – like iStream, iDubba, WhatsOnIndia, others. There is definitely some opportunity here for viewership tracking when ‘digital first’ television behavior picks up.

Future Prediction – by the year 2022 (exactly 100 years after John Wanamaker passed away) – people meters and traditional TRP measuring practices will be obsolete. They will be measured through digital medium! John Wanamaker would have proudly said – “Thanks to Digital, I know exactly which half of my advertising money is wasted!”

What has Product Management got to do with Ecommerce?

Everything! No, that will be a over statement. But it is definitely an integral part of value chain, which is completely ignored by many Ecommerce services in India. Few completely clueless about it, on what product/platform to develop and often mistake UX as product management (which is also an important function in itself).

Ecommerce is (still) hot. In a domain that has many funded companies today in this space; everyone is struggling for differentiation. With an exception of few; to say that we do more products in one category; we have strong vertical focus; our cost of acquisition is low; our seo is better; etc, etc – does not make any sense. These differentiating factors can be replicated overnight. If everyone is on-board same plane, its absurd to claim that someone will reach destination before others.

Rather than subjective opinions about Ecommerce which are in plenty already, this post is specifically targeted towards one aspect – Product. Internet businesses are all about building awesome products backed by a super technology team presented in an intuitive user-experience, nothing else. Its kinda unfortunate to see dollars spent on advertising by companies that have raised investments that continue to run on ready to use Ecommerce platforms installed over-night.

I’d be happy to see fellow entrepreneurs implementing / following basics of ecommerce product management and investors emphasizing focus on product before writing their next cheque for yet another ecommerce investment. On twitter (@beingpractical), I have tweeted number of times about lack of product focus by Ecommerce companies in India – here is why I keep saying that.

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1. On-Site Search:

The way Google is gateway for searching the web, same applies for on-site search for users to discover the 100,000+ products in catalog. On-site search as a discovery tool should contribute minimum 15% of all sales generated. A kick-ass search algorithm should contribute to 30%-35% of total sales.

On-site search is broken if –

  • Total search queries per day < Total unique visitors per day
  • 20% of all search queries generated show zero results
  • Even a single search query of Top 100 searched keywords shows incorrect result in position 1. For next 400 keywords, in first 5 results.
  • Contribution of transactions generated through on-site search is < 15%
  • Order Conversion Rate of onsite search is < 2X of site average.
  • Option to search on homepage is not prominently highlighted; Take clue from Amazon.com – as you always do 😉

What users search for on your website is the true-indicator of what consumer demand is. Rather than bidding for expensive keywords on paid search, analyze how effectively on-site search queries can be converted to actual sales.

To simply put, if X effort is put behind search engine optimization & Y effort is put behind paid search marketing, then effort spent on on-site search should be X + Y.

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2. Search Engine Optimization:

Why SEO is mentioned here? Because content experience should be delivered as a part of product. Many Ecommerce sites continue to believe that search-bots transact online and their product pages forcefully include content snippets. Design web pages and build user experience keeping real users in mind and not for search-bots.

SEO should be integral part of product, not random content/text written and inserted across product or category pages merely to increase keyword density of the page. Understand dynamics of content wrt to product in catalogue. There will always be two types distinct type of products – standardized (eg. Canon PowerShot 550D camera) and non-standardized products (eg. Diamond Ring for your Valentine). Focus on each type of products should be separate. (Have explained a bit of how it works in this post – Junglee and how it impacts Indian Ecommerce).

Search Engine Optimization is about playing with Google search index. Don’t overplay with multiple pages, unwanted content – in short don’t spam Google index with similar content. Maintain a healthy product to page index ratio of 3X-5X (indicates if there are 100,000 products in catalog – the search index should not exceed 500,000 in any case).

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3. Persistent Shopping Carts:

By now persistent shopping carts have should have became a standard, but there are few who are yet to enable this. For starters, there are tons of resources available on the web on benefits of it; for advanced product managers – there is simply much more to do –

  • Link shopping cart data persisted with a user session whenever is in a logged-in session.
  • Send email notification to users to remind of items still in shopping carts (please don’t spam – just a gentle reminder).
  • Over a period of time product prices decrease, once the same happens for a product that is lying in user’s shopping cart inform him via email.
  • Abandoned shopping cart is still an incomplete intent, convert that into a sale at a right opportunity.

Enable smart product marketing through a product versioning system. New Apple iPad is a successor to Apple iPad 1 & Apple iPad 2, inform users when next version of product is available. Similarly for Books or Music, when next book by an author is available or even a new sound track by Madonna. Remarket abandon carts when such event occurs.

 

4. Multiple Sites, User Communication and more.

In recent days, couple of ecommerce services have gone ahead and created specific domain for every vertical they are expanding in. Abc.com for electronics and xyz.com for fashion. These are most pathetic executions of product management since they tend to leverage existing platform for efficiency and end up being perfect playground for chaos.

Here are the most common mistakes that happen (all real experiences) –

  • Register at one website, receive welcome message from another.
  • Same Order ID sequencing is followed for multiple sites.
  • Same database used to store user information – imagine the chaos with operations, customer support, logistics, packing, and do so on – order from abc.com shipped with xyz.com packing. Its a product management mistake, and employees in operations are suffering.
  • Using same platform to collect any behavior information (if collected) for all sites. All algorithms will work incorrectly, expect Apple iPad recommendations to include a T-Shirt or even a Diamond Pendant. To patch up with a fix will lead to further complications, cause basic data collected itself is incorrect.
  • All email sender names, communication, notifications, marketing messages, are mixed up.

 

5. Deals to Product sales; expanding to new category. 

Many deals sites have pivoted to pure play ecommerce or with every passing month ecommerce services move to a new product category. To use same catalog or database structure is the simplest thing to do, but in order to really conquer every new category or verticals, some focused effort is required.

There is a huge difference between selling a travel coupon and selling a complete travel package. To win in every category some focused effort is required, which typically takes a backseat once launch target dates are set and to meet them the team ends up utilizing the same platform used to sell iPad, Spa coupon or travel package.

 

6. Controllable v/s Non-Controllable Factors.

Their is a weird assumption with few ecommerce companies that product management is limited only to consumer facing aspects – like website or mobile app. Its not, let me explain with an example.

Recently ordered an product from an site, its order id was 20579512UE82852111. First reaction – even morse codes are easy to decipher! Of all the calls received on customer care, 95% are order related queries. Just imagine the situation of consumers trying to communicate an 18 digit order id in variety of Indian accents. Complete chaos! There are bounds to be mistakes in communicating leaving room for multiple mistakes. A simple product management mistake leads to an exponentially higher average handling time per customer at its call center and increased hold time for customers wanting to connect.

Controllable factors like number of transactions, quality of search, payment gateway approvals, cart improvements, etc should be measured in improved efficiency of funnel & micro-funnels (explained further) conversion rates; while uncontrollable factors which are mostly about logistics, customer support, operations, COD operations, repayments/refunds, etc should be measured in amount of time saved.

 

7. Micro-Funnels: 

For every Ecommerce service, the only one determining factor to look at how efficient its transaction process is the conversion funnel ratio. Only few players have actually gone ahead and have started measuring performance of micro funnels in an matrix format per product vertical or category.

A conversion funnel cycle is typically Visitors > Product Pages > Added to Cart > Payment Page > Order Confirmation page.

Micro funnels typically mean building such funnels under each of the following 3-4 criteria –

  • By Traffic source: Natural Traffic, Natural Search, Emailers, Affiliate Marketing, Paid Search, Social Media, etc
  • By On-site properties: Search, Categories, On-site promotion banners, Product Recommendations, etc
  • By Product Categories: Fashion, Electronics, Health, Books, etc

Deep dive in data, 1% improvement at any stage of any funnel – will significantly improve volumes of transactions. Keep constructing micro funnels, they are fun and they are plenty more – by transaction size, payment types, and so on. In addition to dull excel sheet reports that have number of transactions / avg ticket size / gross merchandize value – look at such micro funnels data. If you have $100 to spend, it will tell you where exactly to get $200 returns.

Label your weekly friday reviews as Funnel Fridays!

 

8. Payment Gateways:

Payment Gateways or Logistic services are usually most blamed in this country as hindrances to growth of Ecommerce services. About two years back just before the ecom boom started, I wrote a note about – “How Reserve Bank of India can facilitate ecommerce and online transactions in India“. Not much has changed, and Cash on Delivery became the default payment mechanism.

Order rejection rates on transactions processed through payment gateways successfully are < 5%, in most of the cases only if incorrect product is shipped or there is a physical damage. If 100 orders are shipped, 50 are pre-paid transactions and other 50 are COD, on an average between 20-25 will be returned. The operational cost involved in managing COD orders will be close to 2X of pre-paid transactions, dissatisfied customers not accounted for.

Product Managers, make payment gateways work. There may be no science to this – but work with multiple payment gateways. Alternate the transaction flow between them and figure out the best time, best payment gateway from time to time. When payment gateway transaction fails, then offer Cash on Delivery or payments by Cheque.

Take clues – Number of transactions for online recharge services for prepaid mobile services are on increase; they allow users to only pay electronically through either credit cards or net-banking. Then why not for Ecommerce services? This is the same mobile subscriber base living in missed-call economy and maintaining average balance of less than INR 100.

 

9. Cash on Delivery and Logistics:

Since the last point discussed on Cash on Delivery, this comes next.

A strange equation about COD is, if an additional convenience charge between 25 to 30 INR if levied on all transactions below the avg ticket size of Ecom service, their entire cost of COD operations tends to break-even (Try this with historic order data, the number will be close). Maybe Cash on Delivery should be the last attempt to acquire a customer instead of first motivation to transact. But this does may not happen in real world, so COD is the biggest USP of this business now.

For any post-paid order (read COD) that is delivered within 48 hours of order, rejection rate is less than 10%. COD order delivered after 7 days of transaction, rejection rates might be as high as 70%. Product Managers need to find out smart ways to make this complete process efficient to ensure 90% of deliveries within 72 hours, this includes –

  • Maintaining dual address (work / residence) of users to ensure prompt delivery.
  • Call / SMS / Email notification before delivery to ensure user keeps the said amount ready.
  • Maintain performance of COD acceptance or rejection rates by users / pin codes / and logistic partner; shuffle logistic partners by performance for every delivery location. Some logistic partner will always deliver better than other for every pin-code. Find them and route more deliveries to them.
  • Extend this to pre-paid orders as well.
  • Work closely on technology with logistic partners that ensures quick reverse logistics, which is the biggest challenge in operations and also nightmare for customers.

 

10. Track Performance of every Property owned:

Heard of an website called – milliondollarhomepage.com? Have similar approach about every pixel on homepage.

Go insane about about deriving value of every homepage property (search, banners, browse, featured products, etc) similarly as retail outlets do about shelves – sale per shelf. Once every homepage property is labelled similarly, figure out its value based on transactions/revenue generated per day, get the average value of sale generated per property on homepage. More microfunnels to manage for homepage.

Shuffle between product categories, price range, images, product offer text, etc for every property. Understand distribution of transactions by every property, gather such information in logs, mine data and productize this marketing strategy – strive for efficiency.

 

11. Affiliate Marketing. Show Respect and build this Channel.

There are only few categories that have a lower acquisition costs, but with the amount of competition coming up in every horizontal / vertical segment – this is bound to increase with time. The average customer acquisition costs for any Ecommerce website in India today varies between 400 INR to 1200 INR, one company acquires customers at 2000 INR to sell them – pen drives worth 399 INR.

In between all this, there are few really effective business channels like affiliates, price comparison portals and so on who really work hard and acquire customers by sending qualified shoppers. Most of them have extremely poor affiliate commission structures which are typically between 100 to 250 INR, much lower than cost of acquisitions on paid search or display advertising. Show respect, they are acquiring customers at a cost that is usually less than half of the site average.

Nurture this channel and make them available with a series of affiliate tools similar to the Amazon Affiliate program. This channel is currently under-developed / un-explored, any ecommerce service providing better affiliates product and awesome commission structure can actually take a big leap ahead!

 

12. Email Marketing

I had once tweeted this – ‘Buying from you is not my consent to SMS/Email spam’ mentioning few brands I admire. Later Hursh (Cleartrip) wrote an interesting piece about it later on their blog – ‘Why we don’t spam our customers.

Email Marketing has a diminishing value proportionate to the rate of emails per user per month. Though an important channel for traffic/transactions; if abused, at a certain period of time the cost involved in sending a mail to million subscribers will be much larger than the revenue earned from the email campaign itself.

Product Managers need to put in rules in place to ensure that the marketing activity remains contextual to users interaction on the site and also user is sent the emailer at a certain time where buying intent by user still holds true. Ensure adequate gaps (of about 30 to 45 days) between two marketing emails if sent to same user. Consumers behave much like us, will they really buy watches or sunglasses on a daily basis? Find a context!

 

13. Product Recommendations

Unlike what many think, the amazing product recommendations of amazon cannot be build overnight with correct context. It requires tons of data which can be only generated post millions of transactions, product views, buying patterns and an platform that really enables up-selling of products.

There are different aspects of an Amazon Product page – which can be observed on any one of its product page. The experience is so delivered that it brings multiple benefits to Amazon – highly content rich pages that affects search engine traffic positively (as mentioned in point earlier, productize the SEO content), Promotions available at that time, Up-selling related products,  customer actions, product details, description, related purchases, customer reviews and related products.

Enough to satisfy consumer of all his questions, alternatives and options. All packaged beautifully with appropriate content on a page with multiple opportunities to up-sell or cross-sell. Ain’t that good? See how far it seems to go. Love data, insights and bring it to users, don’t be satisfied with plain jane product pages.

 

14. Behavioral Data Trends and creating Marketable Insights.

This completely comes from the stuff we build at my previous stint with Ohana Media – capabilities to track every user interaction, generate tons of data and segment that into trends and actionable data. (They call it bigdata these days).

A brief explanation of the same is on this presentation – Audience Clusters & Intent Analytics and also another deck that Shameek presented at Adtech 2012 on Online Marketing Success Strategies for Ecommerce companies.

While at Ohana, we had pitched this platform to one Founder & CEO of an funded Ecommerce company. Answer – “Not sure if this stuff works.” Result, we went ahead and signed an exclusive non-compete deal with their competitor and today their cost of acquisition has reduced by more than 50% in less than 12 months. Another Ecommerce founding team we proposed replied, “Cannot use this product. Data collected by this platform resides on the same server as our competitor.” That stumbled us, don’t 1000s of Ecommerce sites run on Amazon instances (every customer had his data stored in private cloud). Having a product person driven by data & analytics is essential in every founding team or should be one of the first people to hire in senior management.

Discover cross-channel marketing efficiency like –

  • Natural search keywords converting are automatically bid for on paid search.
  • Automatically decrease bids when competition stops bidding or lowers their bids.
  • Email intent data is used to remarket category banners on-site
  • Search to Display remarketing
  • Onsite customization based on users previous intents.
  • This list could be endless…

Respect data and figure out capabilities to increase its efficiency across medium. Same users reaches you through multiple doors – Search, Paid Search, Social Media, Display, Emails etc. Unless you are able to gather his intent-cycle over a period, it will be impossible to have efficiency in marketing. Every 1% increment on top of funnel conversion may lead to 2X at its bottom.

Full Disclosure: I led product & marketing for Ohana Media in my earlier role. Its founder Shameek Chakravarty is on Board of Advisor of my startup. Both presentations linked are in public domain.

 

15. Team Structure

Since last point touched based on the people aspect, want to extend it bit beyond the purview of direct product management. While one big mistake could be not having a product focused person in founding team or in the senior management team – other simply is how teams are structured within an organization.

Have noticed that in multiple organizations, the User Experience, Product Team, Technology and Online Marketing teams working in silos heading in different directions. It will be subjective to mention what is a right structure and there is no thumb rule to decide that – one common criteria should be love for data, numbers, & micro funnels. Stitch it all together and build an rocking platform.

This pointer is a filler, 15 is a round number. Nevertheless, message is important.

 

Concluding Notes – 

There are couple of posts I wrote earlier which might be also in line for Ecommerce services –

Signing off. Oh yes – a $75+ Mn valued company is still running a Facebook advt since its day of launch (about 2 years back) promising a Blackberry for INR 1999. Its CPC must be 8-12 INR and I have clicked on it innumerable times trying to find out that phone. Online marketing inefficiencies? – maybe will reserve that for another post. This one is already too long.

Going back, product / platform is the core differentiation for every Ecommerce service. Love data and believe in numbers. Every aspect of ecommerce business can be divided into two aspects – controllable (managed internally) and uncontrollable (managed externally like logistics, operations, etc); measure efficiency of everything that is online with improvements in micro funnel conversions and everything that is offline with improvements in time.

Want more inspirations – for online look west (at Amazon); for offline look east (at Taobao).

Google in its mid-life crisis!

Few days back, read an article about Larry Page, Founder and now-CEO of Google attempting to pull Google out of its mid-life crisis. The article headline was catchy, but no justification of what exactly is this mid-life crisis about.

Below are my views on what I believe are the 10 biggest challenges Google is facing right now and why it might be a tough-time forward for the Internet giant. Flip through the presentation below or read the long post below.

 

1. Search

Yes – Search. Google’s core product is facing threat from another format of search: Real-Time Search.

Google continues to add more capabilities to index real-time information to its search algorithms; but fails to realize that traditional web-index based search is different from real-time search. Last year (April 2010), in its caffeine update Google claimed to provide 50% more fresher results. Nov 2011 it rolled out another set of changes to its search algorithms that affects 35% of all search queries. Again same month, it was discovered that Google started indexing comments on Facebook.

In real-time search, the context in which the information retrieved is no longer valid after sometime. In case of Twitter it does not last beyond a day. Or a week? Same with Facebook. At this same point while consumer search for this information on Google – it is impossible to figure out the context of that search query – real-time info or traditional.

Example. Apple launches its next smartphone – iPhone 5. Consumers looking for “smartphone” on Google Search are shown iPhone 5 results, even when they are not looking for it.

Methods of information indexing, querying, trending, and even consumer mindset for real-time search are different than traditional search. Google may end up killing product experience of Traditional web search with such attempts.

Content index based web search & real-time information search are different products. If Google intends to capture a mind-share of Real-Time web search; it needs to build a different product.

 

2. The Rise of Discovery Platforms

For years, Search was our only means to discover websites, content, products, services. Google was our gateway to the Internet.

Today, with social networks like Facebook, Twitter, LinkedIn and similar; consumers are discovering more and relevant websites, content, products or services. They come to us with recommendations, shares, comments from our contacts – and are more relevant. Interpret this as – Google is no longer the only discovery mechanism.

User adoption for Social Networks is increasing; they continue to have high mindshare and also consumers are spending more time on social platforms today. In addition to this, a whole new wave of innovative products are launched on top of Social Graphs enabling contextual discovery.

Social discovery methods are threat to Search.

 

3. Social

After 750+ Mn users on Facebook, 380+ Mn on Twitter, 115+ Mn on LinkedIn; Google now does understand the importance of having a Social Product.

Its earlier attempts – Orkut, Buzz, Wave failed. It is making a big push with Google+, trying to create a new Social Graph, without realizing that they are already established.

Social Graphs are reflection of our Social Relationships in real world. And they are:

  • Close Relationships: Facebook
    Family, Friends – People you know personally!
  • Professional Relationships: LinkedIn
    Colleagues, Partners, Business Relationships
  • Loose Relationships – Twitter
    Celebrities, Domain Experts. People you know, but they may not know you.

There is no room for creation of another graph. And for Google+, I strongly believe that it will fail again as it is still miles away from being a great social product.

On other hand – Spotify, Netflix, Hulu and many other products and startups are riding the Facebook Open Graph / Social Graph to increase social engagement and usage. While Google is missing the opportunity by not leveraging Facebook’s reach for its own products like YouTube, Google News and similar.

Social is not in Google’s DNA.

 

4. Continued Fascination with Google+

The rule to build successful products is – “Build quickly, learn, build, deploy. Doesn’t work, discard. Start again.” Google taught us this rule; and is now breaking it again and again.

Google should rather focus on building Google+, showing users the value proposition in this platform. Instead it is doing its biggest mistake – forcefully including Google+ in its other products. And in this process killing the user experience and usability of its successful products.

  • Search:  Introduced Google+ profiles of users who shared respective URL in search results.
  • Adwords:  Introduced the +1 button to Adwords display advts.
  • YouTube: Introduced videos shared by Google+ users on YouTube homepage.
  • Gmail: Introduced notifications on Google+ updates on Gmail header toolbar.
  • Google Reader: Introduced sharing options, adding users to Circles from Google Reader.

In any of the above products, Google+ additions are not enabling any core-feature of the main product. These would have been great things to do if Google+ had proved its own value to users. Google is simply leveraging successful products to promote Google+.

Didn’t Yahoo try his before – everything Yahoo. I didn’t work earlier, it will not work now.

 

5. Fixing whats not broken

Google wants to act fast and speed up its innovation. While doing this, it is actually fixing whats not broken.

Gmail –

  • The new design update Google is planning to push to all its users – is uncalled for. The functional updates are great thing to do, but the changes to its look are at the expense of product usability and could have been avoided.
  • Google announced launch of a very buggy version of its Gmail client for iOS; and recalled the same from app stores within hours.
  • Stops support for native Blackberry App. While Blackberry itself is on a decline, it still has a significant 19.7% share in US smartphone market and continues to grow in countries like India.

Search –

  • Started with its Caffeine roll-out in June 2010 to include fresh content.
  • In Nov 2011 – it pushed another big roll-out that impacts 35% of search queries.
  • Labnol discovered that Google is now indexing Facebook comments.

In search of freshness, Google is playing too much with its core search product. As mentioned earlier in this post, Real-Time search needs to be a different product.

Google Maps –

  • Announced pricing for Maps API High-volume usage.
  • Location is a key to future product innovation on top of Maps. This move is likely to affect a lot of startups innovating on top of Google Maps.

YouTube –

  • Homepage displays videos from People you follow on Google+

Google is also implementing design standardizations across all products – Search, Gmail, Reader, News, Books and more others. Google is killing uniqueness of its products by standardizing its look and feel and continuing with its fascination of Google+.

 

6. Siri

It may not be easy for anyone to dismiss Siri as a feature on iPhone 4S. Siri is not just voice recognition; it is another input methodology. Siri’s natural language interaction is far more superior than the syntax driven VA (Voice Actions for Android). VA is anywhere between 1-2 years behind Siri. That is a (HUGE) advantage Apple holds.

As the technology improves, one can start talking to Siri as –

  • “Siri, search for ‘MP3 Player’, take me to the best result!”
  • “Siri, show me the map of Mumbai.”
  • “Siri, who is offering the lowest flight ticket from Mumbai to London.”

There are infinite possibilities what Siri can develop into quickly. Most importantly – the potential it holds can make many Google products and services around it irrelevant, like –

  • Search – Ability to discover new websites and relevant services without using Google Search.
  • Adwords – Google relies on clicks for monetization. Siri means no clicks, just talking.
  • Maps – No longer view maps while driving, Siri will look up to them and speak out the directions.
  • SEO – What happens to the SEO ecosystem around Search? Will the new optimization be SVO (Siri Voice Optimization)? How will it work?

Google mastered the standard text-input methodology on Internet (Computers + Mobile). But the threat from Siri is Real. Of all challenges Google faces, Siri is the biggest. The last known big transition for input methodology was finger-based touch inputs (introduced with iPhone). In last couple of years, it replaced traditional keypads on all smartphones.

Siri should be a big bouncer to folks at Google; caught them off-guard and completely unprepared.

 

7. Android v/s iOS

Google scores a big thumbs up with Android capturing 43% of US smartphone market. Apple lost opportunity in developing countries due to its high-priced iPhones while Android phones & tablets flooded the markets with price points from $75 to $1000.

In my own view – I find Google strategy to enter smartphone market extremely fascinating. Samsung, Motorola, HTC, LG and many others were excellent hardware manufacturers with poor software / applications / user experience capabilities compared with Apple or even Nokia. Google gave what these partners lacked – an mobile operating system and ecosystem of applications.

Distribution of Android phones provided Google the opportunity to monetize the mobile search queries. Current trends in mobile are slightly more inclined towards building Apps & HTML5 websites, most developers and product companies want to ensure a seamless experience on phone and also presence with a native client. Google also aligning itself by directing mobile publishers to Adsense and enabling AdMob for Mobile applications.

Google acquired Motorola Mobility to debut itself as an Software+Hardware play (like Apple?). But it may have limited or no advantage with its own hardware play (through Motorola) as it will face tough questions from global Android partners like Samsung, HTC, Sony, LG and others who are responsible for large distribution of Android OS and its popularity. For now, the Apple dream may look difficult.

There are also few more challenges facing the Android ecosystem –

  • Apple still largest and extremely focused contender with its one-phone market strategy for iPhone
  • Android being open; Consumers have a huge choice for Android phones from $75 to $750.
  • Only differentiation between Android phones are hardware capabilities; hardware edge is tough to maintain.
  • Brands like Samsung, HTC, others will require to have devices at all price-points to ensure growing market share. Only significantly high volumes will bring profits.
  • Tough competition on price from Chinese and low-cost android phone manufacturers.

 .

8. Monetization

2004: Google’s largest contributor to its Revenue: Adwords
2011: Google’s largest contributor to its Revenue: Adwords

In 2004, Advertising was only large scalable online monetization model. In the quarter Google debuted on Nasdaq; Amazon reported profit of just $54 Mn.

In 2011, there are various scalable monetization models:

  • Online Advertising / Search & Display (Google)
  • Online Advertising / Social (Facebook, LinkedIn & similar)
  • Mobile Advertising (Google, InMobi & others)
  • Local Advertising (Groupon, Foursquare & similar)
  • eCommerce (Amazon & others)
  • Enterprise, CRM (Salesforce, Box.net & others)
  • App Stores (Apple)
  • SaaS Products (Dropbox, Evernote, others)
  • Payments (PayPal, Square, others)
  • Smart Computing Devices / Tablets, Kindle, Smartphones (Apple, Amazon, others)

Multiple scalable monetization models evolved over last few years. Google unfortunately has not moved beyond Adwords.

.

9. Lack of Innovation

Over years, Google is struggling with innovation. Many existing and high potential products are on decline.

  • Blogger: Introduced the world to blogging. Lost battle to WordPress, Tumblr, Posterous.
  • Google Books: eBooks store of the World? eBook for Android phones?
  • Google Docs: Never really went beyond Gmail attachments. Evernote? Box.net?
  • Google News: News recommendation service or aggregation. Pulse?
  • Google Apps: Endless opportunities in Enterprise services.

Google also abandoned or mis-managed on some the big ideas –

  • Chromebook:
    Post launch announcements, not much has been heard about Chromebook project. If Chromebooks were built to optimize over web, why did it not follow the Android platform? Ideally it should have built and optimized version of Android for laptops & tablets (Android 3.1 Honeycomb for tablets came much later).
  • Orkut:
    Google never realized the potential of Social until too late. Orkut which could have been the default Social Networking destination for world, never innovated beyond UI changes and probably never got the resources that it deserved.
  • GDrive:
    Google was to launch an online drive for storage back in 2007; much ahead of Dropbox’s launch. The project was abandoned and Google is reportedly working on its revival once again post Dropbox’s success.

Over years multiple products have evolved that Google has not paid attention to. Some of the hottest startups and businesses today are in product domains like – Multiple SaaS domains, Social Commerce, Social Products, Local Businesses and so on.

.

10. Failure to execute Acquisitions

If you can’t build it, acquire it. Google has done some awesome job with many of its acquisitions, but unfortunately not the ones in Social. The big lost opportunities here are Aardvark, Dodgeball and Jaiku.

  • Jaiku:
    An micro-blogging service that launched well before Twitter and acquired by Google in Oct 2007 had the potential to be Twitter or a tough competition. Twitter today has over 380+ Mn users and valued at an estimated $8 Bn.
  • Aardvark:
    An social QnA service created before Quora was acquired by Google for $50Mn in Feb 2010 had enough time to learn and innovate. Google announced its closure in Sept 2011. Lost opportunity – Quora is now valued at over $1 Bn.
  • Dodgeball:
    One of the earliest location based social products for mobile was acquired by Google in 2005 and discontinued in 2009. Dodgeball’s founder Dennis Crowley launched Foursquare which is one of the hottest location based products today with over 10 Million users.

.

Ending Notes

Design standardizations that kill identity of products. Inability to build competitive products and match speed of innovation. Failed attempts at Social Networking. Fascination to promote / push Google+ through its successful products. Failed acquisitions.

Google is currently showing all signs of being the next Yahoo. At this pace, engineers will sense more challenges and opportunities to innovate outside of Google. Its not too late, but yes – Google is in its mid-life crisis.

Concluding Notes for myself and other startups – “Don’t try to do something in everything. Rather focus on doing everything in something.”

Why Consumer Social Products should monetize at Scale

This post is written in context of – why consumer social products should never monetize without scale.

1. Because Users sign-up in context of Product –
Every social product is more about users and their connections / contacts together with a context (its product use-case). Users expect to interact with their contacts with this context.

For Zynga, the context is playing games; for Quora, the context is asking questions. At this stage – nothing is more important that making the context important. Focus on building the product.

 

2. Because Engagement is more Important –
Only value a social product should provide to users is engagement (both frequency and quality is important). Hence, the only metric that matters for any social products is engagement. That should be prime focus for any social product in its initial 24-36 months.

Over a period of time this engagement should evolve in to habit. Habits are tough to break. Facebooking, Tweeting, Checking-In are habits.

A QnA site like Quora with about 1 Mn ‘engaged’ users is more valuable that 50Mn+ users on Google+ who don’t talk to each other..

 

3. Because you need to Learn from Others’ Mistakes –
Learn from successes and failures of other products. All (successful) social products monetized at scale, till then they were just building the product and even continue to do so today.

Majority (if not all) of social products who tried to monetize early have hit the dead pool or pivoted.

Don’t want to name any specific failures, but look around – there are many social products that attempted to monetize in its early days.

 

4. Because your Users won’t like it –
You like it or not – large social products & platforms eventually monetize with advertising products but with its own product context. Facebook did with advts targeting by demographics; Twitter with promoted accounts, tweets & trends; Foursquare by local advertising deals for check-ins; with a exception of Zynga that sells virtual goods.

At early stage, users would expect a better product experience; not advts. If you plan to monetize with transactional services like eCommerce – think about it. Will users want another service that spams them through sms / email or advertisements? You don’t want to put off your users.

It is a tough decision with a simple answer – Focus on what users want; not what you want or what your investors want.

 

5. Because your Merchants or Business Owners won’t be happy with you –  

This is strange but true. Let me explain this with example – Imagine a hypothetical social product for shopping with 100,000 registered users. You sign-up with the top-20 eCommerce sites in India for monetization through affiliate model – you pat your back and give yourself a thumbs-up.

– Assume decent engagement levels @ 50% user base (50% of users login minimum 2 times a month).
– That is 12,500 users per week logins
– Take standard 1% ratio of conversion at merchant end
– Gives you 125 transactions per week; 500 per month
– That is about 25 transactions per merchant ~ approximately less than 1 transaction per day for eCommerce partner.

Consumers will not do eCommerce transactions every month. Next month, this picture might be more difficult.

4 of these 20 eCommerce services says, “Sorry! its not worth our efforts on integration and time spent. Please delist us.” Community is small, people change jobs fast and the word spreads quickly amongst the partners – “This product does not work!”

Now, the same scenario at scale;

– On a 1Mn user base: 8-10 transactions per day to every partner
– On a 10Mn user base: 80-100 transactions per day to every partner
– On a 100Mn user base: 800-1000 transactions per day to every partner. OMG!

Exercise extreme caution when you decide to monetize your social product. The timing is as important as how your monetization plan.

 

Also because Sean Parker said so –
From the movie – The Social Network. When Mark Zuckerberg, Sean Parker and Eduardo Saverin discussed on TheFacebook’s monetization in its early days –

Eduardo Saverin: Hey, you know what? Settle and argument for us. I say it’s time to start making money from TheFacebook, but Mark doesn’t want to advertise. Who’s right?
Sean Parker: Um…neither of you yet. TheFacebook is cool that’s what it’s got going for it.
Mark Zuckerberg: Yeah.
Eduardo Saverin: You don’t want to ruin it with ads because ads aren’t cool.
Mark Zuckerberg: Exactly.

Sean Parker: “You don’t even know what the thing is yet.”
Mark Zuckerberg: “I said that exactly.”
Sean Parker: “How big it can get, how far it can go. This is no time to take your chips down. A million dollars isn’t cool. You know what’s cool?”
Eduardo Saverin: “You?
“A billion dollars.”
 That shut everybody up.

This holds true for every social product. You don’t know really know how a product shapes up it its journey that starts from minimum viable product.

Note: Sean Parker has said that the movie The Social Network is work of fiction.

 

Building Awesome Social Products

Number of Social Products are launched these days; everyday we come across a new one. While I am also busy building my own Social Product – sharing few of our learnings with other Entrepreneurs & Product Managers working on Social Products.

Social Graphs are all around us today – some like Facebook, LinkedIn, Twitter have extremely high adoption rate and have provisioned development frameworks for existing and new products to leverage social graphs behind them. Each of these social graphs are distinctive by type of connections and mindset its users have developed towards them.

Google+ has been left outside of this discussion – cause in my personal opinion it is yet to find itself a distinct social graph. In current position – Google+ overlaps with lot of existing and established Social Graphs. More notes on Google+ can be reserved for a different blog post.

 

Existing Social Graphs (everyone knows this):

  • Facebook – Social Networking for friends, (close) colleagues and family. These are users with whom you have interacted in real life.
  • Twitter – Loose social connections, people you know or are acquaintances with. Typically people who are celebrities, known professionals, subject or domain expertise are followed by others.
  • LinkedIn – Professional and Business contacts.
  • Email Contacts – Gmail, Yahoo, Hotmail, AOL, etc – all people or contacts whom you have/had private conversations over emails.

There are other Social Graphs like – YouTube, WordPress, Flickr.., those who are limited by its mindset or domain; also limited ways to leverage those social graphs.

 

Every Social Platform has Social Mindsets & Product Norms:

Social Platforms – no matter how big in user base, its users over a period of time have developed strong mindsets, product usage norms and social norms. They are usually not said or stated, but followed subconsciously by its users.

  • Facebook –
    Product Norm: Users can share status, comments, updates, photos, videos with “known friends”
    Social Mindset: Informal, between friends, perceived closed group communication.
    Social Norm: Example – Do not keep on updating status at same pace at which they tweet.
    .
  • Twitter –
    Product Norm: Follow like minded people, domain experts, known professionals, celebs, etc
    Social Mindset: Open conversations & thoughts expected by followers.
    Social Norm: Example – Retweet what you agree on, etc
    .
  • LinkedIn –
    Product Norm: Strictly Professional & Business oriented. Make connection with people you have worked with or intend to.
    Social Mindset: Share professional or company updates; Industry news & views
    Social Norm: Example – Do not post jokes or Facebook-like status updates.

 

Social Mindsets and Product Norms are difficult to break:

Users follow social mindsets and product norms subconsciously, they learn to follow it over months or years of product usage. Over a period of time, they become so strong that such platforms itself are not able to foster adoption for new products & features they introduce. Some examples are –

  • Facebook attempted to take on Foursquare with Facebook Places – but did not make much headway. Interestingly – there might be an 100% overlap of Foursquare users with Facebook.
  • Twitter struggled with getting usability for Lists feature. Users have added people to lists – but not following them for tweets. Twitter acquiring TweetDeck might be another sign of product usage norm.
  • LinkedIn struggled with its product LinkedIn Answers – while Quora scaled.
  • Google launched Google+ through GMail, but now struggles to keep continued engagement and adoption of Google+.

Because the Social Mindsets and Product Norms are difficult to break, products that leverage Social Graphs outside them become successful. (Facebook abandoned deals, but maybe it should acquire Foursquare as it is more valuable than Groupon, & LinkedIn should acquire Quora)

 

Some Perfect Examples of Social Products:

  1. Zynga – Leveraged social graph of Facebook and introduced Social Games like CityVille, FarmVille and others as a Social Application.
  2. Foursquare – Leveraged social graphs of Facebook & Twitter to introduce a location based check-in product on Mobile.
  3. Quora – Leverage social graphs of Facebook & Twitter to introduce a Questions product as a destination website.

 

The 6 Basic Principles of Building Social Products:

  1. Social Graphs are already Established.
    Do not reinvent the wheel and try to build social graphs again from scratch on your product.
    .  
  2. Social Graphs get built over a period of time.
    a. Over years – Users have made friends on Facebook, added professional contacts on LinkedIn or followed people on Twitter
    b. It will take loads of time, effort and patience if you try to build them again.
    Google+ is attempting this – we can wait and watch if it succeeds.
    .  
  3. Don’t build Social Products for sharing content & driving additional traffic.
    a. Most social products are built with this intention – sharing content and hence driving more traffic
    b. Existing social graphs are powerful and already allow sharing of content to drive viral traffic.
  4. Build Social Products that add value to users.
    There are many tasks and products that can be built outside existing Social Platforms which can add value to end users. While existing social graphs are established, users have a Usage Mindset about them, this is biggest incentive to build innovative social products.
  5. Don’t arbitrage value through your product.
    There is immense value in integrating directly with social platforms like Facebook & Twitter, do not try to arbitrage this value through your product. Users (if it is a B2C product) or Merchants / Publishers (if it is a B2B product) will at some point of time realize this and abandon your product to integrate/use directly.
    .
  6. Don’t build – but leverage Social Graphs!
    Rome was not built in one day! And so are Social Graphs. Choose the one that fits most with your product use case and leverage it.

 

Building your Perfect Social Product:

Foursquare, Quora, Zynga did it, so can your product. Introducing established social graphs to new products. Key is understanding what you manage and what you don’t – Social Graphs are not owned by you, your product is – seamless integration with your product makes it scale up virally.

It helps you in –

  • Viral User Acquisition
  • Introducing your product to user’s existing social graphs
  • User activity on your product generates updates for Social Graphs, which acts like contextual marketing.

Identify what are the validation use-cases for your product, allow consumers to share the same with his Social Graphs. Few examples are – Foursquare checkins, Questioning & Answers on Quora, reaching a level completion milestone on Zynga while playing its games and others.
.

Solving the Chicken and Egg problem:

Social Products have more than one first users. Every initial user who registers to your product has his own social graph, he is the first user of his social graph.

The Chicken & Egg problem here is – what do you show to such first users who do not have any friends or activities to look at. Ask hard questions and look around for examples of successful social products.

First User Questions (FUQs) –

  • Facebook’s first user question – “Whom do I add as a Friend? Who will see my wall-post?”
  • Twitter’s first user question – “Who will read my tweet? Whom should I follow?”
  • Quora’s first user question – “Who will answer my question? How can I quickly get a answer for my question?”
  • Foursquare’s first user question – “Where should I check-in? Why should I check-in?
  • Zynga’s first user question – “Whom should I play CityVille with? How will my City grow?”

Try to figure out how these platform solved the first user question. There are multiple ways to do it, but idea is doing this right. The biggest challenge for any social product is solving the First User Questions – the approach and execution here makes or breaks your Social Product.

 

Validation Cycle of Social Products:

Defining Validation Cycle for your Social Product and reducing the time to validate it is the key goal for Product Managers. Validation cycles are reduced when you are at scale – thats a easy task cause at scale most of the things you do is just optimize based on data/feedbacks.

Take example of Quora – product validation cycle means getting answers from people with best knowledge about it. Since Quora has scale & adoption today – you will see few questions getting answered within minutes or hours of submission, while few take days to see first answer. But in its initial days – the validation cycle was not so short.

More crucial moments are in the first 10,000 users scenario. Have patience, learn from initial user feedback and pain-points; validation will be slow and takes time in initial days of adoption. Also to due slow adoption cycle in early days – the early adopters of any social product, don’t necessary get the best experience.

Example – My twitter profile (twitter.com/beingpractical) was created in Sept 2007; I had the First User Question syndrome. Same was the case with my profile on Facebook, LinkedIn or Orkut (Orkut showed me – “Bad, bad server. No donuts for you” 1000s of time).

 

Should it be an Application on Facebook or Destination site:

“Why is this not a application on Facebook?” is also a question you will hear from Investors. While there are different answers for this question when it comes from Investors, but for a product decision make your judgment based on –

  1. Your product idea or concept or product use case should deliver real value. The value should not equate to addition of features on Facebook.
  2. There are Social Graphs outside of Facebook that you want to explore.
  3. Facebook would want people to interact with people; not with applications.
  4. Product or Business use case qualifies to be a destination site outside of Facebook – like a Quora or Foursquare.

Remember again – Social Mindsets & Product Norms on Facebook are difficult to break. If your product requires to explore Social Graph and is outside the Social Norms of Facebook – it can be a destination!

 

The Key Questions to answer before getting started:

Have good answers to all of these questions before starting with build your Social Product –

  • The task your product is planning to solve – do people do it in real world socially?
    Social Products are reflections of user behavior in real world – People play games together, People want to hear answers from persons with best knowledge about it, and so on. If people don’t do such tasks in real world – they will not do it on a Social Product as well.
    .  
  • Is it a feature on Facebook or Twitter or any Social Platform?
    Feature products don’t last. Identify if your product can be a feature on Facebook or Twitter.
    .  
  • If B2C product – Is there a value to do this task outside of Facebook?
    Check and check again – Is your product idea meant to be a application or destination.
    .  
  • If B2B product – Is sharing and driving traffic to merchants / publishers the key aim?
    There is no harm if it is one of the propositions, but this should not be the key aim of your B2B product. Many social commerce products on top of Facebook project sharing & driving traffic as their core benefit. Marketers are smart, at some point of time they will self-integrate this on their Facebook pages.
    .

Always keep these things in Mind –

  1. People drive Social Platforms & Products. Not features!
    Features are how you want users to drive your product. But it is always people who drive it – make your features people-centric; not people feature-centric.
    .
  2. Engagement should be People to People
    People don’t login to Facebook everyday cause it is Facebook, it is cause there friends are there. Same will hold true for your Social Product.
  3. Don’t arbitrage on User Value
    Consumers & Businesses will eventually figure this out. So don’t do this in first place.
    .
  4. Don’t be Evil
    People love their Friends & Social Circle / Connections more than they love your product.
    Don’t mess with them. Don’t spam. Don’t be evil.

Happy Building your Social Product. Don’t forget to send me invites on pj(at)beingpractical.com.