Facebook data represents active users, which was disclosed on 12/05 and 12/06. Undisclosed active user data is extrapolated by applying an average active user penetration to global Unique Visitors (per comScore Media Metrix)
Rise of open platforms + laser-like focus on metrics and viral channels
Flash Widget Era
Profile
Bulletin
Profile
Requests
Notifications
Email
News Feed
Profile action
Profile
Messages
Notifications
Email
Activity stream
Home surface
Product Design
RockYou approach to product design
Apply advertising principles to user-facing web design
Build fast and launch asap
Iterate on original design
Let data guide product decisions
Apply advertising principles to user-facing web design
Its all about Conversion Rate
Each touch point equivalent to an ad pageview
Profile Views
Canvas Pages
Invites
Feeds
Grow by increasing number of touch points and maximizing conversion on each touch point
Have a plan to maximize use of every channel
Must consider implications for long-term user experience
Don’t abuse the channels
Build fast and launch asap
Design simple concepts
Focus on virality and growth
Accept the fact that channels >> features
Channels bring in new users and keep them coming back
Only the top 0.1% of features can accomplish this alone
Validate concepts quickly
User tests
Just launch it
Iterate Rapidly
Viral channels should drive product concept and feature development
Not the other way around!
Tune the viral loop
A/B Test
Release Often
Let data guide product decisions
Don’t Be Emotional
Numbers don’t lie
There are no user experts
60% + female
15-25
Do user studies when you don’t have web metrics
Viral channels should drive product concept and feature development
Not the other way around!
Have a plan to maximize use of every channel
Development Process
Development Process
Marketing / Validation
Growth
Engagement
Application Types
Channel
Superwall, HugMe
Content
Flixster, iLike, Watercooler
Dating
Likeness, Compare People
Games
Zombies, FluffFriends, SpeedRacer, Friends for Sale
Gifts
Grow-a-gift, Free Gifts, Boozemail
Self Expression
Cities I’ve Visitied, Bumper Sticker
Marketing / Validation
Audience
Channels
Messaging
Audience Skew heavily to teen and young adult women—brand influencers
Audience
What’s the total size of market
What percentage penetration is goal
Whats possible virality of market?
Average number of friends
Myspace vs Ning vs iGoogle
Messaging
Develop your concept around high-converting calls to action
Simplicity
Universal
Social persuasion
Novelty (art)
Channels
Focus on 1 to 1 channels
Map out several different flows to test
Install to invite to interacting
Install to interacting to invite
Balance relevance to throughput
Channel vs Content Applications
Viral Channels
News Feed
Notifications
Email
Profile
Invites
Non-user pages
Profile Action
Growth Phase
Break viral barrier
Tune growth (Install vs uninstall)
Promote It
The Viral Loop User Call to action to invite friends x = invited friends Accept? Yes y% = invite accept rate x * y > 1 gives you viral growth!
Tune It
Superwall Launched in 2 days tuned for 2 weeks
Preview page
Invite Messaging
Targeting
Promote It
You know the math works
All about throughput to multiply
Give it a boost!
Ad Networks
Engagement Phase
Saturated social circles (audiences)
Critical mass makes features more useful
Tune for experience
Build new features to keep users engaged and happy!
Critical Mass
You’ve achieved your goal
Percentage of Social Circle supernodes
40% Active
10 % of that
4% of Market
Channels
Focus on 1-to-Many to get People Engaged
News Feed
Profile
Notifications
Non User Pages
Focus on 1-to-1 to re-engage current users
Email
Notifications
Viral Tuning in Depth
Metrics for your viral loop User Call to action to invite friends x = invited friends Accept? Yes y% = invite accept rate x * y > 1 gives you viral growth!
Hypothetical viral numbers
Install flow
x = 5 (friends invited on average)
y = 22% (acceptance rate for invites)
Viral factor = 5 * 0.22 = 1.1 VIRAL!
Engagement flow
Repeat users can generated additional virality!
Combine multiple flows and channels
Install flow
x = 5
y = 10%
Viral factor = 5 * 0.1 = 0.5
Engagement flow, request channel
x = 3 (invites)
y = 10% (acceptance rate for invites)
Viral factor = 3 * 0.1 = 0.3
Engagement flow, notification channel
x = 6 (notifications)
y = 5% (acceptance rate for notifications)
Viral factor = 6 * 0.05 = 0.3
0.5 + 0.3 + 0.3 = 1.1 VIRAL!
What to track
Requests sent & request CTR
Notifications sent & notification CTR
Feed events & feed CTR
Adds / removes
And everything else…platform tracking is not 100% reliable
How to track
… if you’re tight on resources (aren’t we all)
Paid or home grown if you’re serious about growing big
Get stats in real time instead of waiting a day
Store events that can’t be tied to a page (i.e. number of requests sent)
Slice and dice data however you want
Tuning the viral loop – watch your metrics
Using metrics to drive product decisions
A/B test entire user flows
A/B test calls to action
Base decisions off of statistically significant data
Flow A Flow B A n new users B n new users X% user dropoff Y invites sent/user Z% invites accepted
Making the most of viral channels
Graph and compare activity metrics over time to analyze trends
Focus resources on tuning the largest traffic drivers
All viral channels eventually decay – why?
Invites sent decreases due to saturation
Response rate decreases due to user conditioning
So keep tuning to stay ahead of the curve!
… and when you’ve exhausted your primary channels it might be time to explore some creative alternatives
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