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App Store Optimization Services

Over 65 percent of app downloads begin with a store search. If your app does not rank for the keywords your users search, you pay for every install through UA spend. Oddtusk builds ASO programmes that improve keyword rankings on the App Store and Google Play, increase page conversion rates through optimised visuals and copy, and reduce your cost per install by growing the organic share of total downloads. The underlying keyword strategy follows the same intent-driven principles we apply across all organic channels.

        
                 
[ Results That Reflect Our Work ]

ASO Outcomes Across iOS and Android Apps We Have Grown Through Organic Store Search.

What a dual-signal ASO programme delivers for app developers and product teams within the first 90 days. Also explore our AEO and GEO optimisation and semantic SEO services for broader organic growth.
60 %
Increase in Organic Installs

Apps undergoing full metadata optimisation, keyword architecture, and visual conversion improvements consistently see organic install volume increase by 50 to 70 percent within 90 days as keyword rankings improve and store page conversion rates rise together.

35 %
Average Conversion Rate Improvement

Optimised screenshot frames, benefit-led description copy, and icon improvements consistently raise store page conversion rates by 25 to 40 percent. Higher conversion means each impression generates more installs without requiring additional ranking improvement or paid UA spend.

50 %
Reduction in Cost Per Install from Paid UA

As organic installs grow through ASO, the paid UA share of total installs decreases. Apps with strong organic rankings consistently lower blended cost per install by 40 to 60 percent within 12 months as paid campaigns become less necessary to sustain total volume.

[ Our Working Process ]

From Store Audit to Compounding Organic Installs


01

Store Listing & Keyword Audit

We audit your current App Store and Google Play listings for keyword coverage gaps, title and subtitle structure, description quality, visual asset effectiveness, rating profile health, and current keyword rankings across tracked terms. Competitor apps in your category are benchmarked to identify the specific ranking and conversion gaps between your app and the top performers in your space.

02

Keyword Research & Architecture

Keywords are researched using App Radar, Sensor Tower, and AppFollow data for both the App Store and Google Play. Search volume, keyword difficulty, relevance, and competitor ranking data are combined to build a keyword map assigning terms to title, subtitle, keyword field, short description, and long description based on each platform's specific indexation rules and character limits. Our approach draws from the same semantic keyword architecture we apply across web SEO.

03

Metadata & Description Optimisation

App titles, subtitles, keyword fields, short descriptions, and full descriptions are rewritten with the keyword map applied to each field. Description copy leads with the strongest user benefit, addresses the core use case in the first paragraph, integrates secondary keywords naturally, and ends with a CTA. Platform-specific character limits are respected on every field across both stores. This is the same content strategy discipline we apply across all on-page optimisation work.

04

Visual Asset Strategy & Testing

Screenshot frames are designed to communicate your app's core value propositions in the first two visible slots before the tap to expand. Icon improvement recommendations are made based on competitor visual analysis and category conventions. A/B tests are structured via App Store Connect Custom Product Pages or Google Play Store Listing Experiments to validate which visual approaches convert best before permanent changes are made.

05

Ratings, Reviews & Update Cadence

In-app review prompt workflows are set up using Apple's SKStoreReviewRequest and Google's In-App Review API, triggered at high-satisfaction moments in the user journey. Review response templates are created for your team. Update release strategy is reviewed because app update frequency is a ranking signal on both platforms. Negative reviews are monitored and categorised as product signals for the development roadmap. Building strong review authority mirrors the trust and E-E-A-T signal building we implement across all our SEO programmes.

06

Tracking, Reporting & Iteration

Monthly reports cover organic install volume from App Store Connect and Google Play Console, keyword ranking movement for tracked terms, store page conversion rate, rating and review trends, and A/B test results. Every month the next optimisation priority is identified from ranking and conversion data. Keywords that improve in ranking get reinforced. Conversion gaps identified in A/B tests are addressed in the next creative cycle.

[ Common Queries ]

Straight answers to the questions that matter.

App Store Optimization is the process of improving an app's visibility in App Store and Google Play search results and increasing the conversion rate of the store listing page. It works by optimising metadata fields that the store algorithms index for keyword relevance, improving visual assets that influence whether a user installs after clicking, and building rating and review volume that acts as a trust and ranking signal on both platforms. It is the app-native equivalent of semantic SEO for the web.

Metadata updates are reflected in store rankings within 24 to 72 hours of submission and review approval. Meaningful keyword ranking movement is typically visible within 2 to 4 weeks of a full metadata update. Conversion rate improvements from visual asset changes show in store analytics within days of the update going live. The full compound effect of ranking and conversion improvements together becomes visible within 60 to 90 days.

Yes, significantly. Apple's App Store indexes the app title, subtitle, and a dedicated keyword field that is invisible to users. Google Play indexes the title, short description, long description, and app category. Character limits, update approval timescales, A/B testing tools, and algorithm weighting of different signals differ between platforms. We build and manage separate ASO strategies for each store rather than applying a single approach to both.

ASO and paid UA are complementary. Paid UA drives immediate install volume and can accelerate the velocity signals that help ASO rankings improve faster. ASO reduces the cost per install over time by growing the organic share of total installs. The goal is not to eliminate paid UA entirely but to shift the balance so organic contributes a larger percentage of installs, lowering the blended cost per install and reducing vulnerability to paid channel cost increases.

Screenshots are the highest-impact conversion asset on your store listing page. Most users decide whether to install based on the first two screenshots visible before they expand the listing. Screenshots that lead with a clear value proposition, use benefit-focused caption text, and show the app in use consistently outperform screenshots that are generic UI captures without context. We design screenshot frames and test them against your current assets using store-native A/B tools.

Rating and review signals directly influence rankings on both the App Store and Google Play. Apps with higher average ratings and more recent review volume consistently rank above comparable apps with fewer or older reviews. Beyond ranking, review content is read by prospective users before installing and influences conversion rate. We set up in-app review prompts to maximise collection rate and create a review monitoring process to address issues that are suppressing your rating. This trust function parallels the E-E-A-T authority signals we build across web SEO programmes.

We use App Radar, Sensor Tower, and AppFollow for keyword research and ranking tracking. These tools provide search volume estimates, keyword difficulty scores, competitor keyword gap data, and ranking history for both the App Store and Google Play. We supplement tool data with manual analysis of top-ranking competitor listings to identify keyword patterns and coverage gaps that automated tools alone may not surface.

We provide detailed screenshot frame design direction, copy for caption text, and structured briefs for icon improvements based on competitor visual analysis and category conventions. Final design execution can be handled by your in-house designer using our briefs or by our design partners. We do not produce final production-ready graphic files in-house but we ensure every visual decision is grounded in ASO performance data and competitive intelligence rather than aesthetic preference alone.

Yes. For new apps, ASO starts with keyword architecture that targets lower-competition terms where ranking is achievable without review volume, a store listing page that converts well from day one, and a review prompt strategy that builds velocity quickly from early users. The keyword target set expands as review volume and install velocity build, allowing the app to compete for higher-volume terms as the authority signals accumulate over the first 3 to 6 months.

Monthly reports cover organic installs from App Store Connect and Google Play Console, keyword ranking movement for all tracked terms across both stores, store page conversion rate, rating and review volume trends, and A/B test results from visual and metadata experiments. Cost per organic install is compared against paid UA benchmarks to demonstrate the compounding efficiency of the ASO programme over time. For apps also investing in web presence, see how our AEO and GEO optimisation service compounds organic reach further.