Prisma: How A/B Testing of App Store Images Resulted in 20% Conversion Increase

Scaled By
Prisma Labs
Photo & Video
The photo-editing app Prisma quickly went viral in the App Store. The team understood that even the slightest conversion uplift meant millions of extra installs. So they decided to optimize their app store images. Thanks to smart A/B testing, the app managed to achieve 19.7% conversion growth in no time.
Prisma Labs is a mobile technology company specializing in deep learning and consumer products based on Artificial Intelligence. Their photo-editing application Prisma was chosen one of the best apps two years in a row (2016 and 2017).
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App Store and Google Play don’t always agree on things, but this time they unanimously picked Prisma as the app of 2016. MSQRD was also named runner-up for best app of the year for iPhone and a top trending app of 2016 for Android.

What do Prisma and MSQRD have in common (apart from both being photo/video apps, obviously)?

They both scaled their viral success using Splitmetrics A/B tests to optimize their store images and improve the conversion rates.

We’re happy and proud to have been part of these great stories and would like to share our chapter with you.

When Prisma’s viral growth started to explode, the team behind the app quickly realized that at this scale even a slight increase in conversion rates will result in millions of additional installs.

SplitMetrics was chosen to optimize Prisma’s app store images on the App Store and we worked closely with Prisma team to make sure that we leverage the media and viral spotlight to the fullest.


Now we’re happy to share some of the successful experiments that we ran as well as the ones that didn’t turn out as we expected.

App Store Images Experiment #1

When we started out, Prisma was already a hit. It was all over the news, so we didn’t want to mess with anything that could hinder app’s recognizability (so icon tests were out of the question).

We went after the low-hanging fruit: optimizing the screenshots as they have the biggest impact on conversions. For our first experiment, we chose the low-risk/high-reward strategy: tweaking the screenshots according to the best practices.

Control Screenshots SplitMetrics Test for Prisma
Original App Store Images (Control)
Screenshots SplitMetrics Test for Prisma
Optimized App Store Images

What we did:

  • Moved caption text to the top of the app store images;
  • Bolded the font a bit and dialed up the contrast;
  • Removed repetition from caption texts and highlighter more features within app store images;
  • Added comments and likes to the third screenshot to make it more dynamic;
  • Added the 5th screenshot.
Note: we also experimented with the order of app store images, but the original positioning was actually the most effective.

The result? The impressive 12.3% uplift in conversion rate for the optimized variation of app store images.

Results of Prisma app images tests

We didn’t sit idly waiting for the results of our first experiment. Instead, we started optimizing Prisma’s description. We tested a number of approaches: opening on a call to action, bullet lists, flashing cool press reviews, bragging about top chart positions, etc.

Description SplitMetrics Test for Prisma

Adding bullet lists and using a prominent call to action both seemed to help conversion rates. However, while we were running the experiment Prisma became App Store Editor’s pick. This also meant that the app now had Editor’s Notes description on top, which moved the regular description way down below the fold, rendering its impact on conversion insignificant.

Prisma Editor pick page

So we decided to stop experimenting with the description. However, we don’t recommend following these footsteps unless you have Editor’s Notes. So, we shifted our focus back to app store images.

App Store Images Experiment #2

For those unfamiliar with how SplitMetrics A/B Testing platform works: it creates web pages emulating the App Store where you can change and edit any element of the page (screenshots, icons, etc.). You then drive traffic to these pages (usually from ad networks, cross promo or your website) to see what works and what doesn’t.

When running our first experiment for Prisma, we decided to kill two birds with one stone. We were running Facebook ads to fuel the experiments, so we first created a set of different banners with different app store images and ran them against each other to:

  1. Select well-performing banners to drive traffic to the experiments;
  2. Get ideas for screenshot imagery.

Given the nature of the app, we were particularly interested in 2 things: which images to feature and which Prisma filters to apply to them. So we created a set of app store images depicting people and also some inanimate objects. Then we processed them with the most popular Prisma filters.

Screenshots SplitMetrics experiments for Prisma

After that, we launched a series of Facebook app install ads for Prisma featuring these app store images as banners to shortlist those that perform best. We also made sure to throw in the girl from the first screenshot into the mix to use it as a performance benchmark.

Winning variation of SplitMetrics test

We targeted the ads at users broadly interested in photography, selfies, photo apps and art to get faster results and better conversion rates. Yet, we didn’t want our targeting to be too narrow since Prisma is really a mass market app.

Once we had our short list of the better performing app store images, it was time to see how they behaved as screenshot creatives. We set up a split test with 4 different variations:

Screenshots SplitMetrics Test for Prisma

However, it turned out that none of the contending app store images seemed to be beating the control by any significant margin. The Variation C was performing only slightly better, but we decided that the difference wasn’t enough to take action on it.

Moreover, the image of the girl in the first screenshot was picked up by the media, so she was already recognizable and was adding to the app’s credibility, which was critical since the App Store was swarming with copycat ‘prismas’.

So even though we didn’t beat the control in this experiment, it was still a success for a number of reasons:

  1. We validated our assumptions on app store images;
  2. We saved a lot of time, money and users – if we were to try all the screenshot ideas on the actual App Store it would’ve required much more resources and still leave us wondering at the validity of results;
  3. We actually were onto something here for a future experiment (so read on…).

App Store Images Experiment #3

As Prisma team was getting ready for a major update – introducing video filtering, we were tasked with reflecting this in the new screenshot. It was a big deal and we needed to draw attention to the new feature within app store images. And we had just the guy for the job.

Remember this fella?

Facebook Banner test for Prisma

This guy performed really well both in the split test (even though he didn’t win) and as a Facebook banner so we decided to give it another shot and placed it in the second screenshot. We also added symbols for photo and video to convey the idea of the update and altered the first caption to say ‘Turn every photo and video into art’.


The above-mentioned update resulted in the incredible 19.7% increase in the conversion rate.

Prisma screens optimized with SplitMetrics

The case of Prisma teaches us important lessons:

  • Don’t give up on your first try;
  • Analyze the outcome;
  • Tweak your ideas;
  • Make adjustments and have another go at it.

And always, always repurpose things that work: Have a really great performing banner? – See how it performs in app store images, in-app purchase dialogues, etc.

Did the latest subject line of your newsletter score amazing open rates? – Try it as an app description, caption of app store images, or banner text. And naturally, run A/B tests to check your assumptions

SplitMetrics will always be happy to help you get your app on the ‘Best of the Year’ list.

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