The bottom line
Mobile Action lets you pick app keywords by data, using its traffic and chance scores, and that routinely raises impressions and downloads. A paid ASO tool costs about $60 a month, so anyone serious about an app business should use one.
Key takeaways
- Mobile Action's keyword data is accurate enough to trust. 1:00
- Its search traffic score now matches Sensor Tower, and its difficulty score is right on point.
- A case study comparing Sensor Tower, Mobile Action and AppTweak on three client apps found Mobile Action the most accurate.
- Chance score is the number to follow when choosing keywords. 2:30
- Chance means low difficulty plus good traffic. A keyword with 92% chance and 46 traffic put the app at number two.
- Steve tests 100+ keywords, then puts the best ones in the title and subtitle.
- Keywords in the app name and short description carry the most weight. 5:24
- Keywords in the long description work much less well, especially on Google Play.
- The app is named Midnight Owl because that word has high traffic and low competition.
- This data-driven process has raised results for clients. 3:36
- Impressions doubled or tripled for some clients, and downloads rose 20% to 100%.
- On Google Play, one client gained 55% and a larger client gained about 10%.
- The premium plan shows what drives competitors' downloads and conversions. 6:35
- Organic downloads by keyword showed 91% of the app's downloads came from one term where it ranks number two.
- The update timeline shows competitors' screenshot and icon changes, and ad intelligence shows who bids on which keywords.
If you can't pay about $60 a month, you're probably not that serious about the app business.
Steve P. Young, App Masters
Chapter summaries
0:00 Why Steve uses Mobile Action
Mobile Action earns its place because Steve pays for it and uses it on client work, especially on Google Play.
- Steve recommends it most for Google Play work. 1:01
- He paid for it himself, so this is not a free promo tool.
- He spent time with the CEO, Mobile Action's Ikute, at an event before filming.
- He first covers the basic features, then the premium ones that cost more.
- His earlier doubt was about the search traffic score. It is now fixed, so it matches Sensor Tower.
2:01 Reading the scores on a real app
Loading a keyword list into the tool shows which terms the app can realistically win.
- Chance scores predict ranking better than traffic alone. 2:34
- The test app is Midnight Owl Sleep Sound, a case study inside App Masters Academy.
- The keyword Shh sits at number 14, so it is still a work in progress.
- The term "midnight pulp" showed a 100% chance and the app ranks number two for it.
- On a tight budget, chance decides which keywords are worth optimizing for.
- Two tools agreeing on low competition is the safest signal. 3:32
- Mobile Action looks the most accurate of the tools he compares.
- If both tools show low competition, the chance of ranking well is high.
4:37 Placing keywords and the premium tab
The data decides where each keyword goes, and the paid tier adds download estimates.
- Each store has its own fields, and the strongest ones differ. 5:13
- On iOS the fields are app name, subtitle and keywords field.
- On Google Play they are app name, short description and long description.
- The Spanish Mexico listing is named "Night Owl", not "Midnight Owl", to rank for that term.
- The premium features go beyond the basic plan. 6:14
- Steve has stayed on the $59 plan for a very long time.
- No other tool offers organic downloads by keyword, and Steve is unsure how accurate it is.
- He thinks it estimates downloads from rank and traffic, so a number two rank on a high traffic term gets most of the credit.
7:05 Reading competitors' keywords and changes
Competitor data shows which keywords are worth targeting, and a top rank only pays when the term has real traffic.
- A number one rank on a low-traffic keyword brings almost no downloads. 7:40
- For "hit the sack" the app ranks first.
- Few apps compete for the term, and few people search it.
- That keyword drives about 0.1% of downloads, maybe one person.
- A keyword must also put you in the top three to earn downloads.
- Adding competitors shows what drives their downloads, so you can target those keywords.
- The update timeline shows what a competitor changed and when. 8:15
- Sleep Cycle recently changed its icon, its top in-app purchases and its screenshots.
- Big clients with paid acquisition care most about conversions, so these changes matter to them.
- Sleep Cycle moved one screenshot to first place and added a new one for snoring recording.
- A change kept for six months suggests it worked, perhaps after an A/B test on Google Play.
10:05 Ad intelligence and keyword suggestions
Ad data shows who bids on which keywords, while keyword suggestions are a useful but limited extra.
- Ad intelligence shows who bids on a keyword and who gets the impressions. 10:10
- Each keyword shows its search popularity and each app's impression share.
- Searching a keyword lists the apps running ads on it.
- A search around "sleep sounds" showed Aura running ads.
- A past client was also bidding on that keyword.
- Keyword suggestions rarely surface high-traffic terms, but they catch missed ones. 11:56
- Keywords are hidden until you click track to see their data.
- Suggestions like "sack" turned out too generic, with little search traffic.
- The keyword tracking tab is the main tool, and the ranking report gets little attention.
- Data from that tab decides what goes in the app name and subtitle.
In the growth library
Steve P. Young, Founder of App Masters, app marketing agency. A walkthrough of how to use the Mobile Action ASO tool to pick keywords by traffic and chance of ranking, then place them in the app name and short description. Steve P. Young reports 55% and 10% download gains on Google Play for two clients, and 20% to 100% download gains with his data-driven keyword process.
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