Every rewarded action starts with a user tapping to begin and ends, ideally, with the user finishing it. Completion rate measures how often that second step actually happens. It is one of the clearest health signals for an offerwall or rewarded placement, because advertisers pay for completed actions, not for the ones users abandon halfway.
How to calculate completion rate
Started actions are the offers or tasks users begin. Completed actions are the ones they finish to the point that they qualify for a reward and the advertiser pays. Expressed as a percentage, the metric tells you what share of intent turned into revenue.
A worked example
Say users started 4,000 offers in a day and finished 1,200 of them:
Now suppose a change to which offers you surface lifts finished offers to 1,600 on the same 4,000 starts:
The number of users who began an offer did not move, yet a third more of them converted into paid completions, which flows straight through to earnings.
Completion rate vs. CVR
Completion rate and CVR are close cousins and are sometimes used interchangeably, but they usually frame slightly different steps. Completion rate looks at started actions that reach the finish line. Conversion rate more often measures a wider funnel, such as users who saw a placement and then converted. When you compare the two, be clear about which denominator each one uses, because a small definition difference changes the number a lot.
Why completion rate matters
Completion rate connects user experience to revenue in one figure. A low rate means users are starting offers and giving up, which wastes the intent you already captured and leaves money on the table. A rising rate means more of that intent becomes paid conversions, which lifts effective earnings and eCPM without needing more traffic. Because it responds quickly to changes in offer quality and targeting, publishers watch it as a live gauge of whether their rewarded content is well matched to their users.
Completion rate on the offerwall
On an offerwall, completion rate is largely a function of fit. When the offers shown to a user match their interests, device, and market, more of them get finished. When the offers are irrelevant or too demanding, users start and abandon. Matching the right offers to the right users is the main lever, which is why RevU tunes offer selection with the goal of lifting completion. Better matching also protects the quality of Incentivized Traffic, since users who finish relevant offers behave more like genuinely interested participants than reward-only drop-offs.
Common mistakes to avoid
Reading completion rate without volume. A 90% rate on a handful of starts tells you far less than 40% across thousands.
Confusing it with CVR. Different denominators produce different numbers, so define the funnel step before comparing.
Chasing completion by only showing the easiest offers. That can raise the rate while lowering the value of each completion and your overall earnings.
Frequently asked questions
Q: What is a good completion rate?
Q: How is completion rate different from CVR?
Q: How can I improve completion rate on an offerwall?
Keep reading
Metric
CVR (Conversion Rate) is the percentage of users who take a desired action out of everyone who could have taken it. It is one of the clearest measures of how effective a campaign or flow is.
Metric
eCPM (effective Cost Per Mille) is a publisher's estimated earnings per 1,000 impressions across any pricing model. It is the standard way to compare how much different ad units, networks, or placements actually earn.
Traffic
Incentivized traffic is users who engage with ads or offers in exchange for a reward, such as virtual currency or in-game items. Offerwalls are the best-known source of incentivized traffic.
Ad Format
An offerwall is an in-app ad unit that shows users a list of offers, such as surveys, sign-ups, purchases, or gameplay tasks, that they can complete in exchange for virtual currency or rewards. Because users opt in and choose their own offers, offerwalls are one of the least intrusive and highest-earning monetization formats in mobile.
