What popularity scores actually tell you

The scale, exactly#

Search Popularity is a relative indicator attached to keywords in search results campaigns, displayed as whole numbers from 1 to 5 with 5 marking the most popular terms. Apple own help glossary defines it as a guide to which keywords might matter most for promoting your app, which frames it correctly: a prioritisation aid for bidding, built from App Store search behaviour.

Relative is the load bearing word: a 5 in a niche utility theme moves a fraction of a 5 in photo editing, and the number carries no tap counts with it. Compare scores within themes, never across them. Our relevancy guide pairs this demand read with the fit read every bid needs.

What a 5 really means#

A 5 means heavy search traffic relative to the store, which promises volume and guarantees competition. Expect premium tap prices, rival conquest on the same terms, and conversion rates diluted by casual browsers; the most searched phrase is rarely the most profitable one. Bid 5s for share where the maths holds, not for pride where it does not.

New accounts should earn their 5s: prove creative and costs on 3s and 4s first, then climb the scale with data. Our exact match guide shows the control to buy big terms safely.

The quiet value of 1s and 2s#

Low scores mark narrow, specific intent: few searchers, but searchers who know exactly what they want. A 2 that converts at triple the rate of a 5 can out earn it on fixed budget, especially for specialised apps whose whole market lives in the long tail. Harvest these from discovery reports where they hide behind unglamorous phrasing.

Bundle related low score terms into themed exact groups so their combined volume justifies the management overhead. Our harvesting guide runs the mining loop that surfaces them.

Popularity is not volume#

Treat the score as ordinal, never cardinal: it ranks terms but measures nothing countable, and two terms sharing a 4 can differ wildly in real searches. Never forecast installs by multiplying scores, never report scores as demand figures, and never buy third party volume data expecting it to reconcile. Apple's scale answers which first, not how many.

Where absolute numbers matter, read your own impressions and taps after testing; the account is the only volume source you can trust. Apple own keyword best practices frame popularity alongside relevance for exactly this balanced read.

Pairing popularity with fit#

The bid decision is always a grid: popularity sets the volume prize, relevancy sets whether you may credibly contest it. High popularity plus tight fit earns confident exact bids; high popularity plus weak fit earns a negative keyword, not a bigger bid; low popularity plus tight fit earns patient exact coverage at modest bids. Popularity alone has never justified a bid and never will.

Run every candidate through both guides before it touches a budget. Our brand, category and competitor guide shows how the grid plays out per campaign job.

Watching scores move#

Popularity shifts with seasons, launches, trends and culture: a 3 in spring can be a 5 by December, and trend terms collapse as fast as they spike. Recheck scores on candidate lists quarterly, mine discovery for newly popular phrasing, and let falling scores trigger bid reviews rather than loyalty.

Start at the Apple Ads hub for the wider planning cycle, and ask our team when a core term's volume behaviour stops matching its score.

Frequently asked questions#