Ad Intelligence
Competitor ad research, creative analysis, and platform intelligence for growth teams.
Meowdoku Ad Strategy in 2026: The Quiet Machine — Two SKUs, No Batches, No Sweeps, 637 Million Impressions
Meowdoku sits at #8 on the US download chart with the least dramatic ad operation in this series: no launch batches, no synchronized resets, no format experiments. Just a steady one-or-two-a-week drip of 27–60-second cat-sudoku videos across two separate store SKUs — 637 million model-estimated impressions, 13 of 15 top creatives still live, and a placement fingerprint that splits cleanly along SKU lines. Sometimes the playbook is that there is no playbook drama.
PineDrama Ad Strategy in 2026: The Flood — 4.5-Minute Ads, Seven Copies per Video, and a Fleet That Dies Before It Peaks
PineDrama is the second-fastest riser on the US download chart, yet its biggest ad creative holds just 719K model-estimated impressions — and its entire top 15 went dark by August 5. We reconstruct TikTok Pte. Ltd.'s short-drama flood playbook from the AdMapix index: one 273-second video multiplexed under seven different copy lines, creator-style #ad distribution, by-asset synchronized retirements, and the methodological lesson an owned-inventory giant teaches every ad-intelligence reader.
Royal Match Ad Strategy in 2026: The Marathon Playbook — a 305-Day Creative, a Two-Year-Old Image, Zero Resets
Royal Match's top 15 US ad creatives are all still live — not one has ever been retired. We reconstruct Dream Games' marathon playbook from the AdMapix index: a 119-second video running 305 days, a static image whose asset dates to May 2024, the same proven video multiplexed across entries launched seven months apart, and per-creative intensity 175x below MONOPOLY GO!'s — sustained indefinitely.
Ad Strategy Teardowns: Six Advertisers, Five Playbooks, One Public Index
The AdMapix teardown series reconstructs real advertisers' entire ad operations from public index data — creative lifespans, launch batches, synchronized resets, and the intensity decisions that write everything else. This hub collects every teardown, the full intensity ladder, and the live predictions board the series grades itself against.
Smash Fest! Ad Strategy in 2026: The Playable-Only Blitz Behind a Top-10 Chart Debut
Smash Fest!'s top 15 US ad creatives contain zero videos and zero static images — every single one is a playable. We reconstruct Flow Games' launch playbook from the AdMapix index: 1.37 billion model-estimated impressions, a seven-ad launch executed in 48 minutes, a two-wave creative reset that cleared the old generation in nine minutes flat, and a new cohort running 3x hotter than the retired hero.
MONOPOLY GO! Ad Strategy in 2026: Inside a 7-Billion-Impression Creative Machine
We pulled MONOPOLY GO!'s top 15 US ad creatives from the AdMapix index: 7.17 billion model-estimated impressions, a 22-second video sweet spot, a synchronized creative reset that retired six ads in 31 minutes, and a single-creative intensity roughly 2,000x higher than Royal Match. Full teardown with tables, real creative frames, and a competitor comparison.
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.