Which keywords do you rank 11-30 for? See your cusp band free

Keyword research - the road map to the top ten

What is in this resource:

How to build your ASO strategy from end to end

Learn to pick target keywords, write metadata, follow rank and base every decision on data.

Learn to pick target keywords, write metadata, follow rank and base every decision on data.

From data to action

Simplify the keyword data and stay in line with App Store rules.

Simplify the keyword data and stay in line with App Store rules.

Tools that lift rank

Carry the keywords drawn from competitor reviews into your metadata and take your app out of the cusp band into the top 10.

Carry the keywords drawn from competitor reviews into your metadata and take your app out of the cusp band into the top 10.

Why a roadmap is needed at all

A ninety-day plan for setting up rival tracking from nothing. At the end of each month you hold more measurement and less guesswork than you did at the start of it.

Rival tracking is not something set up in one sitting. Teams that add ten rivals and start tracking twenty phrases in a day stop looking at the table by the third week. The cause is not disinterest; it is the wrong order of setup.

The right order is measure, then compare, then infer. Comparison is impossible before measurement is running; inference is impossible before comparison has accumulated. Set up in that order, each month ends with something usable.

The wrong order works like this: inference is wanted first. "What are our rivals doing?" is asked in week one, the only data available is one day old, so the answer is a guess - and a move is made on the guess.

Ninety days is the minimum for a first meaningful inference. In less time what you hold is a handful of measurements that cannot yet be separated from noise.

Days 1-30: set up the measurement

The only aim of the first month is regular measurement. No inference is drawn this month and no move is based on rival data.

  1. Week 1 - find the search rivalsSearch the phrases on your tracking list and pull out the apps recurring in the top 20. The ones appearing for more than one phrase are your search rivals; a single appearance can be coincidence.
  2. Week 2 - cut the list to five or eightNobody looks at a twenty-app list weekly. Choose the five to eight with the most overlap. As a control group that is more than enough.
  3. Week 3 - separate by countryThe rivals for a phrase can change almost entirely from one storefront to another. Build the list in the country you started with and do not add a second one this month.
  4. Week 4 - make the first comparisonFour weeks of data have accumulated. Look at the rivals' average movement: are they all moving together, or is one diverging? That single question is this month's output.

Days 31-60: use the control group

In the second month rival data starts doing a job: interpreting your own moves.

The rule this month: before every move, record the control group's average movement for that week. After the move, compute the same average again and subtract it. What is left is the move's measurable effect.

Every result interpreted without that subtraction is wrong. In a week when every phrase fell two places, your phrase falling two places is not the move failing - it is the market. The reverse holds too: in a week when everything rose, your rise is not an achievement.

Metadata tracking also starts this month. Record your rivals' app names, subtitles and descriptions weekly. If a rival rose noticeably on a single phrase, you can check whether their metadata changed that week - if it did, your hypothesis is confirmed.

What is still not done this month: copying a rival's metadata. Liking a rival's subtitle and writing something similar means taking their positioning, and when that positioning does not fit your product the arriving user does not find what they came for.

  • Record the control group's average before and after every move.
  • Record rival metadata weekly; look for overlap with their movement.
  • A rival moving across every phrase at once is strength, not metadata.
  • Do not copy; positioning cannot be borrowed, it depends on the product.

Days 61-90: draw inferences

By the third month two months of data have accumulated and the first real inferences can be drawn.

The first: which rival is actually your rival? Which app appeared against you for the most phrases over two months, and which one traded places with you most often? Those two questions show the list's real core. The rest can stay in the control group but do not need watching.

The second: what is the market's tempo? What was the control group's average weekly movement over two months? That number tells you how large your moves need to be. If the market moves three places a week, a two-place gain cannot be measured.

The third: where are the walls? If there are phrases no move shifted in two months, the strength threshold is in play there. Those phrases move to a separate list and you return as the product grows.

The fourth: is review mining worth it? Look at your rivals' review volumes. If it is low, the phrases from that channel will stay statistically weak; if it is high, the end of the third month is the time for a first scan.

What you hold at the end of ninety days

If the plan ran properly, five things exist at the end of the third month and none of them existed before.

A control group: the daily rank history of five to eight apps. Every move you make from now on will be interpreted with that group's movement removed.

A metadata log: when each rival changed what. That log carries concrete examples of how phrases are being targeted.

A tempo measure: the market's average weekly movement. You know your moves have to be larger than it.

A wall list: the phrases metadata cannot shift. You have stopped spending time on them, and stopping is the largest gain.

A source decision: whether review mining works in your category. If it does, the fourth month's work is settled.

MonthOutput
1Regular measurement and a control group of five to eight apps.
2Move results with the control group subtracted; a rival metadata log.
3The real rivals, the market's tempo, the wall list, the source decision.

Where this plan usually goes wrong

The plan slips in four places and all four come from the same cause: impatience.

The first slip is inferring in month one. Saying "our rival is doing X" on four days of data is reading noise. Month one's output is the answer to one question: are they all moving together?

The second is growing the list. Adding one more rival looks free - and in rank measurement it is. But it is not free in readability; nobody looks at a fifteen-app list weekly.

The third is adding a country at the same time. Adding the second storefront in month one ends with half a measurement in both. The second goes in after the loop has settled in the first.

The fourth is answering a rival's move immediately. Touching metadata because a rival rose on one phrase pollutes the measurement window. Their movement is usually temporary; your move leaves a lasting mess.

After the ninety days

At the end of three months setup is finished and the work turns into maintenance. Maintenance takes far less time than setup but it has to be regular.

Weekly maintenance, fifteen minutes: the control group's total movement, is any rival diverging, has a new name appeared, is your own defended band intact. Those four questions produce a one-sentence output.

Monthly maintenance, half an hour: update the rival list, drop the ones that have gone, add the new entrants to the top 20. A list is right on the day it is built; six months untouched it no longer shows your search rivals.

Quarterly maintenance, an hour: run review mining again, revisit the wall list, check whether the strength threshold has fallen. If your rating count has grown, phrases that looked unreachable may now be reachable.

Keep those three rhythms and rival tracking never becomes a burden. Drop them and six months later you hold a stale list and a measurement nobody can interpret.

  • Weekly fifteen minutes: four questions, one sentence of output.
  • Monthly half an hour: update the list, drop the gone, add the new.
  • Quarterly an hour: review mining and the wall list.
  • Without the rhythm the list ages in six months and the measurement stops being readable.

Where the plan meets the product side

Rival tracking has one output that spills outside ASO, and it is usually the most valuable: the complaints in rival reviews.

When a user writes about a feature they found missing in a rival app, they say two things at once. First, there is demand for that feature. Second, these are the words they use to express it.

The first is for the product roadmap, the second for the keyword pool. Two different teams feed from the same scan, which doubles the return on the time spent on rival tracking.

That inference has a limit: reviews do not represent the whole user base. The people who write are the very satisfied and the very dissatisfied; the large middle does not write. A demand list drawn from reviews is not the real distribution of demand.

One thing is certain even so: a word written in a review is a word at least one person actually used. For a word produced in a marketing meeting, not even that can be said.

Frequently asked

Is ninety days not too long?
There is no part that can be shortened: a control group needs a few weeks of data to mean anything, and an inference needs a few months to separate from noise. Conclusions drawn earlier are guesses.
How many rivals should I start with?
Five to eight. More costs nothing in rank measurement but it costs readability, and a list nobody looks at is not a control group.
When should I add the second country?
After the loop has settled in the first - at the earliest the end of month two. Starting both at once ends with half a measurement in each.
My rival is above me on every phrase - is the plan still worth running?
Yes, but it produces a different output. If the strength threshold is far above you, what emerges in month three is that these phrases are not taken with metadata and the work has moved to the product. Knowing that is a gain too.
Why is copying a rival's metadata wrong?
Positioning depends on the product. Their subtitle was built for their product; when it does not fit yours the arriving user does not find what they came for, and your rating falls - which weakens your strength across every phrase.

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