AppsFlyer Organic Growth Opportunities

Create a massive programmatic directory of landing pages for every ad network, DSP, and analytics tool in the AppsFlyer ecosystem. These pages focus on the technical and operational setup of integrations to capture high-intent implementer and buyer traffic.

Example Keywords

• [Partner Name] integration with AppsFlyer
• how to connect AppsFlyer to [Partner Name]
• [Partner Name] postback setup guide
• [Partner Name] mobile attribution integration

Rationale

By providing specific setup guides for thousands of partners, AppsFlyer can intercept users at the implementation stage, which is a critical point in the vendor evaluation and retention cycle. This strategy targets long-tail keywords that competitors like Adjust currently dominate through sheer volume.

Topical Authority

AppsFlyer's existing strength in measurement and analytics education provides a solid foundation for Google to trust these 'applied' integration pages. The domain's high Authority Score of 58 ensures these pages can rank for specific partner-related queries.

Internal Data Sources

Utilize the internal integrations catalog, existing support articles for postback configurations, and common support ticket tags to provide unique troubleshooting insights for each partner.

Estimated Number of Pages

2,000 - 6,000 (Covering the full breadth of the partner ecosystem and capability variants)

Develop a comprehensive library of static benchmark pages segmented by country, industry, platform, and specific marketing metrics. This data-led strategy provides the 'gold standard' answers for performance marketing teams planning their budgets.

Example Keywords

• [Country] app install benchmarks 2025
• mobile ad cost benchmarks for [Industry]
• day 7 retention benchmark [Industry] [Country]
• average CPI for [Industry] apps on iOS

Rationale

Data-backed content is highly linkable and difficult for competitors to replicate without a massive proprietary dataset. These pages answer specific, high-volume questions that UA teams search for during the planning phase.

Topical Authority

AppsFlyer already has a small benchmarks section; expanding this into a massive programmatic hub leverages existing trust in the brand's data-reporting capabilities. Google rewards data-rich, original content in the analytics space.

Internal Data Sources

Leverage aggregated and anonymized platform data, existing Performance Index reports, and internal metric calculation rules to ensure mathematical consistency across thousands of pages.

Estimated Number of Pages

10,000 - 50,000 (Based on combinations of 30+ industries, 50+ countries, and multiple metrics)

Build a structured library of comparison pages and 'alternative' guides for every major and minor competitor in the mobile measurement space. These pages use objective criteria and migration playbooks to capture users actively looking to switch platforms.

Example Keywords

• Adjust alternative for enterprise
• Kochava vs AppsFlyer comparison
• best mobile measurement platform for [Use Case]
• switching from [Competitor] to AppsFlyer checklist

Rationale

Comparison queries represent the highest intent in the B2B buyer journey. By creating a comprehensive library, AppsFlyer can directly address the competitive gap where Adjust currently holds a larger keyword footprint.

Topical Authority

The domain's deep product and solutions sections provide the necessary context for Google to view these comparisons as authoritative rather than purely promotional. High domain authority supports ranking for competitive 'vs' terms.

Internal Data Sources

Use internal product capability matrices, documented security/privacy postures, and the library of 150+ customer success stories to provide factual differentiation.

Estimated Number of Pages

400 - 1,500 (Covering various competitors, use-case scenarios, and migration guides)

Expand the existing solutions architecture into thousands of micro-vertical pages that address the specific measurement needs of niche app categories. This strategy moves beyond broad 'Gaming' or 'Fintech' categories into highly specific sub-sectors.

Example Keywords

• attribution for [Micro-Vertical, e.g., BNPL] apps
• mobile analytics for [Micro-Vertical, e.g., Quick Commerce] growth
• [Micro-Vertical] marketing measurement tools
• KPIs for [Micro-Vertical] app user acquisition

Rationale

Niche industries often have unique funnel structures and KPI requirements that generic solutions pages miss. Capturing these specific queries allows AppsFlyer to demonstrate deep industry expertise to specialized buyers.

Topical Authority

With 46 existing use-case pages and 150 customer stories, AppsFlyer has the 'proof' needed to anchor these micro-vertical pages. Google's E-E-A-T signals are bolstered by connecting these pages to real-world customer outcomes.

Internal Data Sources

Mined insights from the customer story library, industry-specific event taxonomy recommendations from Solutions Architects, and internal reports on vertical trends.

Estimated Number of Pages

2,000 - 8,000 (Covering hundreds of sub-verticals across different monetization models and regions)

Create a library of task-based 'recipes' for developers that focus on specific frameworks and implementation challenges. These pages bridge the gap between high-level marketing content and technical documentation to capture developer-led buyer intent.

Example Keywords

• AppsFlyer Flutter integration guide
• Unity install attribution tracking setup
• server-to-server mobile attribution API for [Backend Stack]
• how to implement OneLink in [Framework]

Rationale

Developers are often the primary influencers in the MMP selection process. Providing SEO-friendly, framework-specific code snippets and setup checklists captures this audience early in the technical discovery phase.

Topical Authority

Existing traffic to SDK and OneLink guides proves that Google already views AppsFlyer as a technical authority. Expanding this into a programmatic library of 'recipes' solidifies this position across all modern development stacks.

Internal Data Sources

Canonical SDK/API documentation, validated code snippets from Solutions Engineering, and common troubleshooting steps from technical support logs.

Estimated Number of Pages

600 - 2,500 (Covering dozens of frameworks across various measurement tasks and platform variants)

Improvements Summary

Refresh priority glossary pages (SVOD/TVOD/PVOD, Programmatic TV, Private Marketplace, Programmatic Guaranteed, in-stream ads, ad impression, VTA/VTR) to win “meaning/what is” queries and capture featured snippets and PAA. Add a hub page plus tighter internal linking so the cluster supports itself and routes readers to relevant next-step pages.

Improvements Details

Rewrite titles/meta to match intent (e.g., “svod meaning”, “tvod meaning”, “what is pvod streaming”, “programmatic tv advertising”, “pmp private marketplace”), and place a 40–60 word definition directly under the H1 with 3–5 key takeaways and a quick example. Add consistent sections: “How it works”, “Why it matters for advertisers”, a VOD comparison table (SVOD vs AVOD vs TVOD vs PVOD), KPIs, and 5–8 PAA-style FAQs with FAQPage + DefinedTerm schema. Build a “Programmatic TV & Streaming Advertising” pillar hub, add “Related terms” modules (6–10 links each), link from relevant blogs/use-case pages, and add E-E-A-T elements (Last updated/Reviewed by + 2–4 citations).

Improvements Rationale

Many target terms show low traffic share despite favorable volumes and competition, which often points to weak snippet formatting, missing intent-matching sections, and low SERP CTR. Definition-first structure, FAQs, and schema increase snippet/PAA visibility, while hub-and-spoke internal linking concentrates authority to move page-2 rankings to page 1 for high-value terms like “programmatic tv advertising” and “pmp private marketplace”.