AppsFlyer Organic Growth Opportunities

Create a massive library of SEO landing pages for every ecosystem integration, including ad networks, analytics tools, and CDPs, written specifically for marketing evaluators and implementers. These pages bridge the gap between high-level marketing content and technical support documentation to capture users during the vendor evaluation and setup phases.

Example Keywords

• [Partner] attribution setup
• [Partner] install tracking
• [Partner] postback macros
• [Partner] S2S postback
• [Partner] iOS measurement

Rationale

Competitors like Adjust currently rank for over 2.2x more keywords than AppsFlyer; a significant portion of this gap is often found in long-tail integration queries. By providing marketing-friendly setup guides, AppsFlyer can capture high-intent traffic from users looking to connect their tech stack.

Topical Authority

AppsFlyer already demonstrates strong authority in implementation-adjacent content, with over 174 developer and support document URLs indexed and a high Authority Score of 58. This existing technical footprint makes the domain a credible source for integration guidance.

Internal Data Sources

Leverage the AppsFlyer integration directory metadata, support knowledge base, developer documentation, and postback macro catalogs to provide unique, differentiated technical context.

Estimated Number of Pages

40,000+ (Covering 2,000+ partners across multiple platforms and use-case variants)

Develop a comprehensive index of programmatic benchmark pages that provide specific performance data across different countries, app categories, and KPIs. These pages serve as a primary research tool for mobile marketers planning their budgets and setting performance expectations.

Example Keywords

• average CPI [country] [category]
• mobile retention benchmark [category] [country]
• install to purchase benchmark [category]
• ad fraud rate benchmark [country]
• conversion rate benchmark [vertical]

Rationale

Benchmark queries represent high-intent research behavior that occurs before vendor selection. Providing this data at scale allows AppsFlyer to own the 'data authority' position in the market and drive users toward their reporting tools.

Topical Authority

The domain already has a dedicated benchmarks section and a robust library of reports, signaling to search engines that AppsFlyer is a primary source for aggregated industry data.

Internal Data Sources

Utilize aggregated, anonymized performance datasets from AppsFlyer’s proprietary market insights, existing industry reports, and regional taxonomy mappings.

Estimated Number of Pages

150,000+ (Covering 200 countries, 150 categories, and multiple KPI/time cuts)

Generate a library of vertical-specific tracking plans and event taxonomies that help mobile teams design their measurement strategy. These pages provide ready-to-use blueprints for acquisition, activation, and retention tracking tailored to specific app sub-verticals.

Example Keywords

• tracking plan for [industry] app
• event taxonomy for [sub-vertical] app
• mobile analytics KPIs for [sub-vertical]
• purchase funnel events [vertical]
• what events to track for subscription app

Rationale

Users searching for tracking plans are typically in the implementation or tool-switching phase, making them high-value leads. This strategy targets net-new keywords that move beyond simple definitions into operational utility.

Topical Authority

AppsFlyer’s success with its glossary and measurement analytics pages proves that Google trusts the domain for measurement methodology and technical definitions.

Internal Data Sources

Use internal best-practice event frameworks, raw data schema references, and industry-tagged case studies to generate non-generic, expert-level templates.

Estimated Number of Pages

60,000+ (Covering 300 sub-verticals across various business models and roles)

Build an interlinked library of data field definitions and SQL recipe pages designed for data engineers and analytics buyers. This play provides technical documentation for every raw data field and provides specific SQL queries for common analysis questions across major data warehouses like Snowflake and BigQuery.

Example Keywords

• appsflyer raw data field meaning
• app attribution raw data schema
• snowflake query mobile attribution data
• bigquery install attribution sql
• how to join installs to in-app events

Rationale

Data engineers are key stakeholders in enterprise attribution deals. By providing a searchable, programmatic dictionary and 'cookbook,' AppsFlyer can capture technical long-tail queries that competitors often ignore.

Topical Authority

The domain's existing strength in technical definitions (glossary) and its high authority score make it a natural fit for detailed data schema and engineering documentation.

Internal Data Sources

Incorporate the actual AppsFlyer raw data schema, sample anonymized data rows, and prebuilt queries from solutions engineering playbooks.

Estimated Number of Pages

80,000+ (Covering 1,500+ fields and thousands of analysis questions across 4+ warehouses)

Create a versioned compliance implementation library that maps AppsFlyer SDK versions to specific App Store privacy requirements. This play provides developers with copy-and-paste ready checklists and configuration guides to ensure their apps meet Apple's evolving privacy standards.

Example Keywords

• privacy manifest third party sdk
• required reasons api third party sdk
• app store sdk privacy manifest checklist
• ios sdk disclosure requirements
• how to validate privacy manifest in ci

Rationale

Privacy compliance is a high-urgency, high-volume topic for mobile developers. Providing programmatic, version-specific guidance captures traffic from developers who need immediate answers to avoid App Store rejections.

Topical Authority

AppsFlyer’s extensive developer documentation and dedicated trust/privacy sections provide the necessary foundation to rank for high-stakes compliance queries.

Internal Data Sources

Leverage versioned SDK release notes, internal feature-to-API mapping tables, and official privacy/trust documentation.

Estimated Number of Pages

35,000+ (Covering various SDK versions, modules, and CI tool variants)

Improvements Summary

Upgrade high-intent glossary definitions with a repeatable “Glossary Page 2.0” layout: a 40–60 word definition block, deeper sections (how it works, metrics, examples), and FAQ/PAA targeting. Add cluster-based internal linking via new glossary hubs plus a small set of pillar guides that link to (and receive links from) the glossary pages.

Improvements Details

Re-map priority pages to a primary term plus long-tail H2/H3s: /glossary/mmp/ (“mobile measurement partner”), /glossary/programmatic-tv/ (“programmatic tv advertising”), /glossary/private-marketplace/ (“pmp private marketplace”), /glossary/ad-impression/ (“ad impression meaning”), and the VOD set (“svod meaning”, “tvod meaning”, “what is pvod streaming”). Add a clickable TOC, 1 diagram/table per page, a “Related terms” module (5–8 tight links), DefinedTerm + FAQPage schema, and visible author/review + last updated dates. Publish 2–4 pillars (mobile attribution 2026, programmatic TV/CTV buying + measurement, VOD comparison, hybrid app vs native vs web) and connect them through new hubs like /glossary/mobile-measurement/, /glossary/programmatic-and-ctv/, and /glossary/streaming-and-vod/.

Improvements Rationale

Many pages sit near page 2 with low traffic share, so small relevance wins (definition block, intent-matched headings, FAQ targeting) can move rankings and capture Featured Snippets/PAA. Consolidated internal linking (hubs + pillars) strengthens topical authority across related definitions, reduces VOD keyword overlap, and pushes multiple terms into the top 10 faster than writing isolated new glossary entries.