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Cobi & Taplytics @ BitMaker Labs Group Meetup

Cobi Druxerman from Taplytics presented his company’s software and answered questions about startups, products, and A/B testing at Bitmaker Labs.

Definitions

  • Retention – how many users stick around, use more than once
  • Engagement – how often users come back
  • Analytics – raw data, graphs charts
  • A/B testing – a framework to make sense of raw data

Analytics & A/B Testing

Mobile apps suck in general. Cobi’s stats are:

  • 2.3% retention rate past 30 days, even after spending $1.80 to acquire a user
  • 74% shopping cart abandonment rate

Some improvements Taplytics has helped apps make:

  • Changing an “Add to wish list” button into an underlined link increases clicks on neighbouring “Add to cart” button, increasing sales by 37%
  • Implementing Google Plus sign-in increased sign-ins by 150% over email, Facebook connect, Twitter sign in
  • Shopping Cart checkout processes – smoother flow with less next buttons and back buttons makes things better

Numbers!

  • How many users needed to run a test? Maybe 1000 conversions per test, hard to say. Depends on many factors
  • Running tests or making data based decisions? Check your data about once a week and make changes. Probably don’t need to wait longer

How to prevent users from being confused by frequent changes to an app while running A/B tests?

  • Once Taplytics software decides a user is going to receive baseline or variation version of an asp, they will see that version until a test is over.

Other stuff

Taplytics in action:

Introduction to Analytics and A/B Testing with Cobi Druxerman of Taplytics

Thursday, Nov 6, 2014, 6:30 PM

Bitmaker Labs
220 King Street West, Suite 200 & 300 Toronto, ON

53 Bitmakers Went

We have all heard the famous Y Combinator phrase “Make something people want” but doing this is far harder than it sounds. If you’ve ever built a product you’ll know how frustrating it is when someone tells you they love your idea, but when push comes to shove they never use it. Interviews, focus groups and surveys are useful, but they’re biased an…

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