App Masters · Jan 3Its tool shows rising keywords, such as Black Friday gaining popularity in the shopping category, and an app's past update history for competitor research. It has also seen in-app event cards work very well for Black Friday deals, and saw no benefit from duplicating keywords.
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App Masters · Jul 28Its team advises building one custom product page per intent-based ad group. In a finance app example, this cut cost per install by 26%, lifted conversion rate 18% and tap-through rate 235%, with almost a 300% uplift in install-to-impression ratio.
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App Masters · Jul 20Compares ad and organic results keyword by keyword for clients and sees a very strong link between tap-through and conversion rates in its ASA data. Offers a free plan, and connecting an Apple Search Ads API gives one month of free access to its search ads tools.
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App Masters · Feb 19Its search traffic score now matches Sensor Tower and its difficulty score is on point. A premium plan around $59 a month adds organic downloads by keyword, an update timeline and ad intelligence, and a three-app comparison found it the most accurate tool.
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- Rank keywords by chance score, not just search traffic▶ 3:15He ranks number two for a keyword with a 92 percent chance score and 46 search traffic, and number two for another with a 100 percent chance.
- Brainstorm 100+ keywords, run the data, then place by traffic and competition▶ 3:51This process has doubled impressions for clients, tripled them for one, and raised downloads 20, 30 or 100 percent.
- Pay for an ASO tool if you are serious about the app business▶ 4:33The basic plan at $59 a month is what Steve used to routinely increase downloads for clients.
- Use organic downloads by keyword to see what drives competitors▶ 7:25
- Study competitor screenshot changes in the app update timeline▶ 9:48Sleep Cycle moved a screenshot to first position and kept it for six months, and added a new snoring feature screenshot.
- Check ad intelligence to see who bids on your keywords▶ 10:59
- Use keyword suggestions to catch missed terms, not as the main source▶ 13:00A suggested term like 'sack' turned out to have too little search traffic to be worth targeting.
- Cross-check keyword difficulty in two ASO tools▶ 3:32A case study with three client apps compared Sensor Tower, Mobile Action and AppTweak, and Mobile Action was the most accurate.
- Use Mobile Action for Google Play keyword research▶ 0:34Google Play download gains of 55% for one client and about 10% for a larger client that was already doing well.
App Masters · Aug 7Its keyword intelligence estimates which keywords drive an app's downloads using data from users who connect their iTunes accounts, and is the standout feature. The plan caps keyword additions at 100 per day (86 used in the demo), and a pricier plan raises it to 200.
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App Masters · Apr 28Used for keyword traffic, but its chance scores look too high for everything, so they are not used. For chronic pain it showed no traffic while App Radar showed some.
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App Masters · Jan 16Steve finds its search traffic scores more accurate than other tools, showing 37 and 24 for keywords that App Radar scored 5. He credits the AI craze for the better traffic numbers.
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App Masters · Jan 27It gives traffic and a chance score, the likelihood of a top 10 spot, and tends to show lower difficulty and more low-competition keywords than App Radar. Young has not yet checked which tool was more correct.
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App Masters · Nov 25Its estimates agreed with Sensor Tower on about $300K a month for Grammarly, and its ad data matched the Facebook Ad Library.
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App Masters · May 2It showed "unlimited audiobooks" at 1.5 for traffic and "ebooks" at 4.6, and supplied the most mentioned review keywords, "books" and "audiobooks".
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App Masters · Mar 30Recommended for checking keyword difficulty once a misspelling shows traffic. Pasted typo lists can be scored for traffic and competition there.
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App Masters · Feb 26More accurate than Sensor Tower on Google Play difficulty, so he pays for both. It shows data only once a keyword is tracked, with no research-only mode.
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App Masters · Feb 20Named as a tool for validating competitor keywords with search score, traffic score and difficulty before targeting them.
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App Masters · Dec 13Scores traffic from 5 to 100 and gives a chance score, where above 70 counts as low competition and 80 is ideal. Steve finds it more accurate on iOS and on chance, and would pick it if he could only afford one tool.
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App Masters · Nov 1Used alongside Sensor Tower to look up competition for a handful of interesting keywords, like 'slide shake' and 'shake camera', to find low competition ones.
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App Masters · Oct 5Works like Sensor Tower for checking keyword volume and also offers free trials for small budgets.
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App Masters · Sep 13A Mobile Action score above 70 marks low competition. Used together with Sensor Tower, it flags terms like cake swap and cake pay as easy gaps.
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App Masters · Sep 4Look for keyword traffic above 10 and competition scores of 70 or more when targeting low-competition terms with few downloads.
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App Masters · Aug 30Its difficulty scores proved more accurate and it is Steve's first pick if only one tool is affordable. He started using it after three or four friends recommended it.
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App Masters · Aug 15Steve prefers it to Sensor Tower for pulling keyword data.
App Masters · Jul 12Its chance score (over 70 means low competition, on a scale of 100) tracked real Google Play rankings better than Sensor Tower. One keyword had a chance of 98 and the unoptimized client app already ranked number 7. Steve recommends it for Google Play.
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App Masters · May 30Gave the most accurate difficulty data of the three tools, with 32 of 53 low-difficulty keywords (about 60%) reaching the top ten. On the game it flagged 18 easy keywords and 14 ranked (77%), and it sat between the other two tools on how many keywords it flagged.
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- Choose keywords by difficulty score, then confirm volume is high enough▶ 8:20On one app, sorting by Mobile Action's chance score gave 19 low difficulty keywords, and the team ranked well for about six of them.
- Treat Mobile Action's low difficulty calls as the most reliable of the three▶ 15:41Mobile Action: 32 of 53 flagged keywords ranked, about 60%. AppTweak: 18 of 31, about 58%. Sensor Tower: 33 of 70, about 41%.
- Judge each tool's accuracy by the share of its low difficulty keywords that rank▶ 6:43On the game, Mobile Action flagged 18 and 14 ranked (77%), Sensor Tower 22 and 14 ranked (64%), AppTweak 10 and 5 ranked (50%).
- Apply the same low competition threshold across each tool's scale▶ 3:24The cutoffs were: Sensor Tower under 3, AppTweak 30 and under, Mobile Action chance score 70 and above.
App Masters · May 16Pulls search scores straight from Apple, and Steve finds its chance score usually accurate. It gave a 95% chance to rank on a keyword where the client ranked number four.
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App Masters · Mar 28It showed a 96% chance to rank and traffic score of 24 for "cleaning services". It also showed food delivery at 55 traffic against shopping's 62, with Yelp ranked 126 for delivery.
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App Masters · Oct 30It gave 93% ranking odds to a keyword Sensor Tower called hard (ranked number three), but only 50% to one Sensor Tower called easy (ranked 79). Keywords with 100% ranking odds on it and low competition on Sensor Tower ranked number one and number four.
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App Masters · Oct 19Ranked first for optimization reports because its data is more accurate than Sensor Tower's. Reports use its data to decide what to optimize, with Sensor Tower as a double-check.
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App Masters · Sep 20Used with Sensor Tower to check keyword traffic and difficulty. Young's hoverboard game keywords scored well on traffic and low on difficulty on both platforms.
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App Masters · Jul 24Gives a 1 to 100 search score and a 'chance' of a top 10 category rank, and accepts comma-separated phrases. A 93% chance flagged a keyword that ranked number three, while a 50% chance flagged one that ranked number 79. Steve wants 80% or higher.
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