The Intelligent Keyword Suggestion Tool, built by Sensor Tower, simplifies keyword research for app developers by generating relevant keyword suggestions. It uses seed keywords from an app's current keywords and title, combined with an n-gram database from Common Crawl and Project Gutenberg, to produce related keywords. Advanced settings allow tweaking weights and filter strength for more precise results, including phrase-based suggestions for long-tail searches.
The tool works best with 15-20 specific seed keywords, reducing irrelevant suggestions. It has been tested internally and can significantly streamline keyword optimization for most apps.
Remove bad keywords to free up space. Research new ones using Keyword Spy and Intelligent Suggestions. Optimize your keyword list using the Optimize Keywords tool. Finally, submit an app update to improve search rankings.
Sensor Tower launches a Keyword Research Tool for app developers. It shows top 25 results, keyword traffic, difficulty scores, competitor details, and app metrics to help assess keyword competition and viability.
Adjust has expanded store detection and verification across multiple app storefronts, making Store Type the primary dimension for identifying where an install originated rather than relying on platform or OS alone. For ad ops teams, this means campaign performance can now be analyzed at the store level across Huawei AppGallery, Xiaomi GetApps, Samsung Galaxy Store, Vivo Appstore, and Google Play variants, with independent verification of install origin. Newly detected stores are flagged in AppView with a direct route to configuration, and store-level data flows automatically into reporting, raw data, callbacks, and CSV exports, plus Conversion Rules via Store Rule conditions.
AppsFlyer’s 2026 creative data shows video and static image ads reward opposite creative qualities, so ad ops teams should plan, budget, and test them separately. Video spend is concentrating: gaming’s top 2% of video creatives captured 60.7% of spend, up from 53.5%, while image spend spread out. Top spenders are testing far more variations, widening the testing gap. Action/Strategy and Puzzle/Lifestyle show format-specific tone and social-proof reversals; Finance is the exception. Teams should use AI-assisted variation, analyze video winners deeply, keep broad image testing, and measure performance at attribute level.
Japan's finance app category is outperforming, with H1 2026 installs up 8% YoY and sessions up 40%—nearly 5x the install growth and well ahead of global figures (5% and 29%). Stock trading is the standout subvertical: installs +90% YoY and average session length climbing to 11.7 minutes, driven by NISA reforms and a retail investor resurgence. Retention is improving across the full 30-day curve (D1 17% to 19%, D30 7% to 8%). For ad ops teams, the takeaway is clear: prioritize measurement depth, re-engagement, and channel-level quality over top-of-funnel volume alone.
Omnichannel analytics unifies customer behavior and campaign performance across mobile, web, CTV, and AI search into one identity, one attribution model, and one ROAS number. The core problem: a single customer seen on three surfaces becomes three users, inflating performance and corrupting attribution, LTV, and retention. Stitching channel reports into one dashboard is not unification—each channel keeps its own attribution logic, so conversions get double-counted and upper-funnel spend looks unproductive. For ad ops leaders, the takeaway is that identity resolution (deterministic plus probabilistic, privacy-safe) must happen at the data layer before any dashboard exists. Platform choice hinges on surface coverage, identity resolution, compliance, incrementality testing, and migration support.
Adjust's Halloween 2025 data across six weeks shows the holiday window opens well before October 31 and differs by category and market. Entertainment installs peaked the weekend before Halloween (up 42–44% vs. summer baseline), with OTT/streaming and video content installs up 120% on October 25 and 300% YoY. Photo and video sessions instead spiked on Halloween night itself (+6% global vs. the four prior Fridays; Canada +15%, Germany +13%, U.K. +11%, U.S. +9%, Mexico +7%). Single global send dates miss market-level peaks, so ad ops should time creative, push, and budget shifts per market—especially in Mexico, where activity runs through Día de los Muertos.
MFA sites exploit programmatic buying by attracting low-intent clicks and inflating viewability/CPM metrics, so spend can look successful while delivering little brand impact. The article argues in-app advertising is a stronger advertiser-controlled environment: app downloads create intent-bearing friction; in-app video/display viewability outperforms mobile web (77.4%/72.5% vs 71.4%/63.6%, per DoubleVerify 2022); brand unsuitability is lower (4.4% vs 9.7%); and ads.txt/approved-publisher controls plus vetted apps reduce fraud. Decision-makers should treat MFA as a measurement and supply-path risk, not just a brand-safety issue, and reallocate a meaningful budget share to verified in-app inventory.
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