Ad Intelligence
Competitor ad research, creative analysis, and platform intelligence for growth teams.
Playable Ad Analysis for Mobile Games: A Practical Method
A practical method for playable ad analysis in mobile games: how to reverse-engineer a competitor's playable by the job it is built to do, decode its structure beat by beat, infer which concepts are likely working, turn observations into testable briefs, and stay honest about what a public playable proves (structure and intent) versus what it never can (spend, installs, retention, ROAS).
Best Mobile Game Ad Formats Across Platforms: A 2026 UA Playbook
A platform-by-platform guide to the best mobile game ad formats in 2026: which formats do the heavy lifting on Meta, Google, TikTok, AppLovin, and Unity; why the right format depends on platform, genre, and funnel stage; a format-selection framework; a creative-testing cadence; and the honest limits of what competitor ads can and cannot tell you about which format wins.
Meta Ads Library vs Ad Intelligence Tools for Game UA (2026): Which to Use, When, and Why
A definitive 2026 comparison of the Meta Ads Library vs dedicated ad intelligence tools for mobile game user acquisition — where the free transparency library genuinely helps, the structural limits that create blind spots for game UA creative research, a side-by-side capability matrix, the exact decision criteria for when to add a paid intelligence layer, and an honest account of what neither can show.
Ad Creative Intelligence Workflow for Mobile UA Teams in 2026: Find, Analyze, Brief & Build
A complete 2026 ad creative intelligence workflow for mobile UA teams — the four-stage loop to find winning competitor creatives, analyze why they work, brief production from them, and build a sustainable competitive-intelligence system, with the data inputs, a fixed taxonomy, tiered competitor monitoring, an observation-to-hypothesis method, a structured brief format, a weekly operating cadence, team-size tool choices, and the learning log that makes each cycle compound.
Outbrain Ad Spy Tool in 2026: Native Ad Research for the Open Web
How to research Outbrain native ads from public evidence in 2026 — what a spy tool can and cannot prove, how to decode headline-and-thumbnail hooks, advertorial landing paths, retargeting trails, and how to turn patterns into testable native campaigns.
AI Creative Brief Template in 2026: Turn Competitor Evidence Into Testable Ads
A complete 2026 guide to the AI creative brief template — the nine fill-in fields that feed a model evidence instead of vibes, why the hook pattern is the highest-leverage input, how to gather example ads responsibly, the do-not-say list that keeps output honest, a prompt structure that uses the brief, how to rank output into a test backlog, a fully filled worked example, the limits of AI and public data, and where AdMapix fits.
Meta Ads API Alternative in 2026: Ad Library API, Marketing API, or a Creative Layer?
A 2026 guide to choosing a Meta ads API alternative — what the Ad Library API, Marketing API, and Graph Ads Archive each actually expose and where they stop, how a creative-intelligence layer fills the saved-media, video-breakdown, and reporting gap, exactly what public Meta data can and cannot prove (creative yes; spend, targeting, and ROAS no), and a decision framework matched to the job you are doing.
Ad Intelligence API: What Developers Need Beyond a Raw Ads-Library Endpoint in 2026
A developer-focused guide to ad intelligence APIs: what fields make a creative record queryable, why official ads-library endpoints stop short, the buy-vs-build tradeoff for a cross-network layer, and how to design a pipeline that survives schema and rate-limit changes.
Ad Hook Examples in 2026: 7 First-3-Second Patterns (with UGC Breakdowns)
A complete 2026 library of ad hook examples organized into seven repeatable patterns — problem, proof, objection, comparison, curiosity, offer, and transformation — with UGC hook breakdowns, platform-by-platform differences for TikTok, Meta, and YouTube, an industry-by-industry hook map, a hook-testing workflow that ships variants, the metrics that actually grade a hook, and a worked teardown that turns a competitor opener into a running test.
Ad Creative Database in 2026: How to Build a Searchable Library for Hooks, Offers, and Proof
A complete 2026 guide to building an ad creative database — why a screenshot folder stops working, the core schema that makes ads queryable, a controlled tagging vocabulary, where to source ads, how to query patterns instead of single ads, the workflow that turns saved ads into briefs, the honest limits of public data, a worked example, and where a cross-network tool like AdMapix fits.
Creative Testing Framework in 2026: Isolate, Prioritize & Scale Winning Ads
A 2026 creative testing framework — why confounded variables ruin most tests, how to isolate one variable per experiment, how to prioritize the backlog by impact and falsifiability, the test record that makes results reusable, how to read statistical significance and sample size without fooling yourself, the win/loss/flat decision rules, the testing-velocity question, how to scale winners and diversify the portfolio, and how competitor evidence feeds the hypothesis stage.
Ad Creative Fatigue Analysis in 2026: Signals, Thresholds & Refresh Decisions
A 2026 guide to diagnosing ad creative fatigue — what fatigue looks like in the data, how to read cost-per-result, frequency, CTR, and retention signals together, how to tell fatigue apart from funnel, tracking, auction, and seasonal causes, how fatigue speed differs by channel and funnel stage, how to set a refresh threshold, when to refresh versus rebuild, how to run a creative pipeline that stays ahead of fatigue, and where competitor research informs the next variant.