AppsFlyer Organic Growth Opportunities

A programmatic directory of implementation-grade landing pages for every ad network and technology partner in the AppsFlyer ecosystem. These pages provide structured setup guides, tracking parameters, and capability checklists that bridge the gap between marketing intent and technical execution.

Example Keywords

• "{partner} attribution integration"
• "{partner} postback setup"
• "{partner} S2S postback parameters"
• "{partner} cost reporting integration"

Rationale

Buyers and implementers search for specific partner capabilities during vendor evaluation and onboarding. By providing structured, SEO-optimized versions of technical documentation, AppsFlyer can capture late-funnel intent from users looking to connect their marketing stack.

Topical Authority

AppsFlyer's existing success with reference content, such as their glossary, proves they are a trusted source for measurement implementation. Their high domain authority (AS 58) supports ranking for these technical long-tail queries.

Internal Data Sources

Utilize the internal partner/integration catalog, existing support KB articles, and developer documentation to provide unique, fact-checked technical specs.

Estimated Number of Pages

60,000+ (Covering thousands of partners across various platforms, tracking methods, and ad formats)

A collection of vertical-specific landing pages that offer "blueprints" for measurement, including recommended event taxonomies and KPI frameworks. Each page is tailored to a specific industry and use case, providing a tangible implementation plan for prospective buyers.

Example Keywords

• "mobile measurement platform for {industry}"
• "{industry} user acquisition measurement"
• "{industry} subscription measurement"
• "{industry} marketing analytics stack"

Rationale

Decision-makers often search for solutions tailored to their specific niche (e.g., Fintech, Gaming, QSR). Providing a vertical-specific blueprint increases conversion potential by demonstrating immediate relevance to the buyer's business model.

Topical Authority

AppsFlyer's existing solutions infrastructure and extensive library of customer case studies provide the necessary credibility to own vertical-specific measurement conversations.

Internal Data Sources

Leverage customer case studies, Performance Index reports, and internal sales RFP response banks to offer differentiated, industry-specific insights.

Estimated Number of Pages

90,000+ (Covering hundreds of sub-verticals across multiple use cases and regions)

A massive, searchable directory of marketing performance benchmarks sliced by geography, vertical, and channel. These pages provide practitioners with the data they need to justify budgets and compare their performance against industry standards.

Example Keywords

• "{country} {vertical} install benchmark {year}"
• "{channel} performance benchmark for {vertical}"
• "{metric} benchmark {vertical} Q{n} {year}"
• "average retention rate for {industry} apps"

Rationale

Marketers constantly search for "what good looks like" to benchmark their own campaigns. This play leverages AppsFlyer's unique data moat to create thousands of high-value reference pages that are frequently cited and shared.

Topical Authority

As a leading MMP, AppsFlyer is a primary source for ecosystem data. Scaling their existing report-based authority into a programmatic directory is a natural extension of their brand.

Internal Data Sources

Use aggregated, anonymized benchmark datasets from the AppsFlyer platform and historical Performance Index data.

Estimated Number of Pages

140,000+ (Covering hundreds of geos, verticals, and channels over multiple timeframes)

A technical library of SQL templates and data modeling guides designed to help data analysts extract value from attribution exports. Each page provides runnable code for common marketing questions like payback periods, blended CAC, and cohort analysis.

Example Keywords

• "SQL to calculate payback period marketing"
• "blended CAC SQL template"
• "BigQuery attribution analysis query"
• "Snowflake app marketing analytics schema"

Rationale

Data analysts are critical stakeholders in the enterprise buying process. By providing high-utility technical assets, AppsFlyer builds trust with the users who will ultimately manage the data integration.

Topical Authority

AppsFlyer's authority in measurement concepts allows them to move down the stack into the technical "how-to" of data analysis and warehouse modeling.

Internal Data Sources

Utilize raw export schemas, field dictionaries, and internal analytics templates used by AppsFlyer's own data solutions teams.

Estimated Number of Pages

60,000+ (Covering hundreds of business questions across various warehouses and BI tools)

A forensic troubleshooting guide that maps common marketing dashboard anomalies to specific types of ad fraud and remediation steps. This play targets users experiencing active issues with their campaign data.

Example Keywords

• "click injection detection"
• "install hijacking prevention"
• "abnormal click to install time troubleshooting"
• "bot install detection mobile ads"

Rationale

When marketers see suspicious patterns, they search for symptoms. This play captures high-intent troubleshooting traffic and positions AppsFlyer's Protect360 as the necessary solution for fraud prevention.

Topical Authority

AppsFlyer's established Protect360 product and existing fraud-related documentation provide a strong foundation for owning the fraud remediation space.

Internal Data Sources

Leverage anonymized fraud signal patterns, support case taxonomies, and internal product configuration knowledge bases.

Estimated Number of Pages

90,000+ (Covering hundreds of symptoms across various channel types and remediation paths)

Improvements Summary

Update the CTV/VOD, programmatic, and ad measurement glossary pages with snippet-ready definitions, stronger section structure, comparison assets, and FAQ + DefinedTerm/Article schema. Add two hub pages and expand internal links between glossary entries, related blog posts, and OTT/programmatic use-case pages.

Improvements Details

Tighten each page to a primary query and rewrite intros as a 40–60 word definition plus bullet takeaways; prioritize pages targeting "svod meaning", "tvod meaning", "pvod on demand", "programmatic tv advertising", and "programmatic guaranteed". Add comparison tables (SVOD vs TVOD vs AVOD vs PVOD; PMP vs Programmatic Guaranteed; VTR vs VCR), formula boxes ("how to calculate ecpm", VTR), examples, misconceptions, and 4–6 FAQs with schema; fix /glossary/bvod/ to focus on "broadcast video on demand" and drop irrelevant "b vdo" noise. Build /glossary/video-on-demand/ and /glossary/programmatic-tv-ctv/ hubs, add missing entries (AVOD, CTV advertising, OTT advertising, attribution window, CPM vs eCPM), and add bidirectional links from relevant measurement and programmatic blog posts and OTT media buying pages.

Improvements Rationale

These pages show low traffic share despite low competition, which points to thin content, weak snippet formatting, and limited topical authority rather than demand gaps. Stronger on-page structure, clearer keyword focus, and hub-to-node internal linking can move rankings from page 2 to page 1 and win featured snippets, while high-CPC terms like programmatic TV can drive higher-intent visits.