Growth

Reading Your CPI Results Without Fooling Yourself

CPI results are easy to misread. Here is what the number actually measures, what sample size you need to trust it, and how to tell whether the creative or the concept is the problem.

Vectra Play 7 min read
A phone showing ad performance metrics next to a notebook with threshold numbers

CPI measures how much you paid for one install during a test, and it is the most common first filter publishers use. But the number is easy to misread. A low CPI from the wrong audience means nothing. A high CPI from one creative does not condemn the concept. And a test with too few impressions is noise dressed as data.

Why CPI gets misread

Three reasons, all common.

  1. The number feels precise. A CPI of $0.27 looks like a measurement, but it is an average across audiences, times, and placements that may vary by a factor of three.
  2. It is the first number you get. Other metrics take days or weeks to mature. CPI arrives fast, and fast numbers attract premature conclusions.
  3. It conflates concept and creative. A high CPI could mean people do not want the game or it could mean the ad did not show the game well. Those are very different problems.

Understanding what the number can and cannot tell you is the difference between acting on signal and acting on noise.

What CPI actually measures

CPI measures the cost of converting an ad impression into an install. It reflects three things combined.

A single CPI number mixes all three. When the number is bad, you need to pull it apart to know what is bad.

CPI tells you how cheaply you acquired installs. It does not tell you whether those installs were worth acquiring.

Sample size: when to trust the number

The most common mistake is reading a test before it has enough data.

A minimum viable test needs at least 1,000 impressions per creative variant, and ideally closer to 5,000. Below that, random variation dominates the result and differences between creatives are not reliable.

Impressions per creativeWhat you can trust
Under 1,000Almost nothing
1,000 to 5,000Directional signal only
5,000 to 20,000Reliable CPI comparison between creatives
Over 20,000Stable CPI with audience-level breakdowns

If your budget only allows 2,000 impressions, run one creative rather than splitting across four. One result you can trust is worth more than four you cannot.

The budget math for running a proper test is laid out in Creative Testing on a $500 Budget.

Separating creative signal from concept signal

This is the critical question after a high CPI: is the game the problem or is the ad the problem?

Three indicators that the creative is the issue.

Three indicators the concept is the issue.

The distinction matters because creative problems cost days to fix and concept problems cost months. Spending a month on a creative problem is a waste. Spending a day on a concept problem is a bigger waste, because it produces false hope.

The creative side is covered in How to Write an Ad Hook in Four Beats.

Geographic and audience traps

CPI varies dramatically by market, and testing in the wrong one produces misleading results.

A common pattern: test in a cheap market to save budget, get an encouraging CPI, then discover it doubles or triples in the target market.

Three rules for geography.

  1. Test in your target market. If you plan to launch in the US, test in the US. A $0.15 CPI in Southeast Asia tells you nothing about US performance.
  2. Be careful with broad targeting. Letting the platform optimise for cheapest installs will find the cheapest installs, which may not be the audience that retains.
  3. Compare within the same market. A CPI comparison between two creatives is only valid if both ran in the same region during the same period.

The same applies to audience segments. A test targeted at "all users" produces a different CPI from one targeted at "people who play puzzle games." The narrower test is more expensive and more informative.

When a retest is valid

Not every high CPI deserves a retest. Some do.

A retest is valid when you changed something specific and want to measure the effect of that change. Running the same test again because you did not like the result is not a retest, it is hoping for a different outcome.

Valid reasons to retest.

A retest without a change is not a strategy. It is a delay.

Reading the result alongside retention

CPI alone is half the picture. A cheap install that leaves on day one costs money, not less.

The real question is whether CPI multiplied by retention produces a viable unit economy. A $0.30 CPI with 40% day-one retention is often better than a $0.15 CPI with 15% day-one retention.

Publishers look at both numbers together, and so should you. The thresholds differ by publisher and are covered in How Publisher Submission Bars Differ.

If your CPI is just above the bar but your retention is strong, say so in the submission. A publisher looking at both numbers may greenlight what a CPI filter alone would reject.

What we would do

Run the first test with one or two creatives in your target market, spend enough to reach 5,000 impressions per creative, and then stop and read the data before making any decisions.

Pull apart CTR and install rate. If CTR is the weak link, make new creatives. If install rate is weak, revisit the store page. If both are mediocre, pressure-test whether the concept is the problem.

Never retest without changing something specific, and always note what you changed and why so the second result means something.

The short version

Run one honest test in the right market before deciding anything. If you want help reading your CPI results, send us the numbers.

Related reading: Creative Testing on a $500 Budget, How Publisher Submission Bars Differ, and CPI Went Up After a Test: Now What.

#CPI#Growth#Analytics#Publishing
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