splitforce

5 ms·

1.
Loaded Dice: Predicting App User Behavior(info.localytics.com)
13 points by splitforce 11y ago|0 comments
2.
Retention is every app publisher's game to lose(info.localytics.com)
5 points by splitforce 11y ago|0 comments
3.
Multi-Armed Bandits with Thompson Sampling(splitforce.com)
2 points by splitforce 11y ago|0 comments
4.
A/B Testing Web Services for Profit(splitforce.com)
2 points by splitforce 12y ago|0 comments
5.
Mailage(mailage.co)
1 points by splitforce 12y ago|1 comments
6.
Marks and Spencer Mobile App A/B Test(splitforce.com)
1 points by splitforce 12y ago|0 comments
7.
by splitforce 12y ago
Qualitative data is OK, but without a really strong understanding of social theory and stuff like desirability bias there's a big risk of not asking the right questions and making misinformed decisions. One way we've found to limi
8.
Sample Size Calculator for A/B Tests(splitforce.com)
5 points by splitforce 12y ago|1 comments
9.
Grow Your Audience with Curated(curated.co)
2 points by splitforce 12y ago|0 comments
10.
Infographic: A/B Testing Cards and Swipes(splitforce.com)
1 points by splitforce 12y ago|0 comments
11.
The mobile on-demand food economy meets data(splitforce.com)
1 points by splitforce 12y ago|0 comments
12.
by splitforce 12y ago
Next step is to take some input about user preferences and generate a personalized ranking of places to go. Here's a quick stab at building a 'personalized' desirability index: https://docs.google.com/a/
13.
The Tinder Effect: Swipe to KISS (Keep It Simple, Stupid)(splitforce.com)
3 points by splitforce 12y ago|0 comments
14.
Empathic A/B Testing | Big Data, Little Devices(splitforce.com)
3 points by splitforce 12y ago|0 comments
15.
Hedonic Adaptation: Why I Keep Playing TwoDots(splitforce.com)
2 points by splitforce 12y ago|0 comments
16.
by splitforce 12y ago
Thanks for the article Kevin, but I am afraid that most of your audience will find that just tweaking colors or copy will not produce any meaningful results for their businesses. Let me explain… We’ve found that a successful approach to A&#
17.
Duolingo - Improve your Product with A/B Testing & Data Focus(youtube.com)
2 points by splitforce 12y ago|0 comments
18.
by splitforce 12y ago
Nice article as always, thanks Alex! What I’ve found is that a successful approach to A/B testing is really dependent on the type of company you’re operating and product that you’re offering. Small cosmetic changes to the UI or copy of
19.
by splitforce 12y ago
Congrats Paras! New dashboard is looking nice, and I especially like the ability to retroactively segment results based on different customer dimensions and discover new opportunities for personalization. One thing that I've noticed is
20.
6 Best Software Programs For Hassle-Free A/B Testing(blog.crazyegg.com)
1 points by splitforce 12y ago|0 comments
21.
Are You Broadcasting Your A/B Tests to the World?(splitforce.com)
1 points by splitforce 12y ago|0 comments
22.
The Math of Split Testing Part 2: Chance of Being Better(blog.42floors.com)
1 points by splitforce 12y ago|0 comments
23.
Splitforce Raises Seed Round, Launches Auto-Optimization For iOS And Android(techcrunch.com)
1 points by splitforce 12y ago|0 comments
24.
by splitforce 12y ago
Nice post, Sergey. We've been using Thompson Sampling to deal with delayed feedback, as we're dealing with data coming from mobile applications which are not always connected. The results have been pretty good, here's a break
25.
by splitforce 12y ago
Right now auto-optimization only supports binary goal types. But we support A/B testing with Time and Quanity (numeric) goal types as well, so working on a solution to automate those types of experiments.
26.
by splitforce 12y ago
Thanks, we think it's pretty cool too! And you've totally hit on why this is awesome - by automatically funneling users towards better-performing variations you can focus your resources on validating what matters and cut down on t
27.
by splitforce 12y ago
Thanks for the heads up - looking into it...
28.
by splitforce 12y ago
True, but why? Activision spends over $10M annually on employing an analytics team of about a dozen PhDs to build Rubin causal models to be able to show the right thing at the right time to players. That kind of budget makes sense for a $1
29.
Show HN: Bandit Algorithm for iOS, Android and Unity(splitforce.com)
24 points by splitforce 12y ago|10 comments
30.
ACCELERATING GIGABIT BROADBAND IN HIGH DENSITY URBAN ENVIRONMENTS(gigabitcities.wordpress.com)
1 points by splitforce 12y ago|0 comments

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