CTR calculator

Impressions is the number of times the ad was served, as the platform counts it. Different platforms count differently — served and viewable are distinct events, and a placement that renders below the fold can be counted before anybody could have seen it. Two rates built on two definitions of an impression are two different numbers wearing the same name.

Clicks is the field that decides what the answer means. Most feed platforms report more than one click figure, and the broad one includes engagement that never left the platform: reactions, comments, shares, taps on the profile name, expansions of the image. The narrow one counts only the taps that sent somebody to a destination. The same campaign therefore has two click-through rates that can differ by a third, and neither is wrong. Pick the one that matches what you are buying and use it consistently.

Target click-through rate is optional. It is not a benchmark this page supplies, because a rate that travels between advertisers does not exist. Put in your own trailing average for the same placement and audience, or the rate the campaign held before the creative changed, and the calculator will tell you what the difference is worth in clicks.

The rate is a measure of match, not of quality. It answers one question: of the people this ad reached, what share found it relevant enough to act on. That makes it an excellent early signal, because it moves within hours and it moves for reasons you can act on — the hook, the format, the offer, the audience definition, the placement.

It is also why the rate is so easy to lift in the wrong direction. Anything that provokes a tap raises it. A headline that promises more than the page delivers raises it. A thumbnail that has nothing to do with the product raises it. A click bought that way costs the same as any other and converts at a fraction of the rate, so the campaign gets more expensive per outcome while the metric everybody watches improves.

The honest way to use the rate is as the first of three numbers, never as the last. Read it beside what the impression cost and what the click did afterwards. A rate that rose while the cost per conversion fell is a creative that found its audience. A rate that rose while the cost per conversion rose is a creative that found the wrong one.

A percentage is an abstraction, and abstractions lose arguments. The clicks-at-target line converts the same fact into the currency the decision is actually made in.

On four hundred thousand impressions, a rate of 1.3 per cent produces 5,200 clicks. Lifting it to 1.5 produces 6,000 — eight hundred more clicks from inventory that was already paid for, at no additional media cost. Whether that is worth a week of creative work is now a question somebody can answer, because it is stated in clicks rather than in decimal points.

The same line works in the other direction. A campaign whose rate fell by a fifth has not lost a fifth of a per cent; it has lost a specific number of clicks, and multiplying that by the value of a click gives the cost of the decline in the only units that matter.

The first frame, more than anything else. On a feed the first moment of a video or the top third of an image decides whether the rest is seen at all. Most rate problems are hook problems.

The match between the ad and the audience. A broad audience lowers the rate almost by definition, because it includes people with no reason to act. That is not automatically a fault: a wider audience at a lower rate can be cheaper per outcome than a narrow one at a high rate, and the cost per result is the arbiter.

Placement. The same creative in a full-screen placement and in a small in-article unit produces different rates, and a campaign left on automatic placements is an average across a mix that shifts on its own.

Frequency and age. A rate that decays week by week on an unchanged creative is fatigue: the people who were going to click have clicked, and the rest are being shown it again. The rate falls before the cost per result does, which is what makes it an early warning rather than a lagging report.

Format changes you did not make. Platforms redesign their surfaces, and a layout change can move every advertiser's rate in the same week. Before rebuilding a campaign, check whether the whole account moved together.

Start with the creative, because it is the lever with the largest range and the only one that lowers the price of an impression at the same time. Test the hook rather than the whole ad: the opening line, the first frame, the offer as stated in the first three seconds.

Then narrow or widen the audience deliberately, and watch the cost per result rather than the rate while you do it. Narrowing usually lifts the rate and raises the price of the impression; widening usually does the reverse. Either can be correct.

Then split the placements. An average rate across a mixed placement set hides the surfaces that are working, and the exclusions are usually obvious once the report is broken out.

Then look at what happens after the click. If the rate is healthy and the outcome is not, the ad has done its job and the page has not, and no amount of creative testing will fix a page that loads slowly or asks for nine fields.