Ad Intelligence
Competitor ad research, creative analysis, and platform intelligence for growth teams.
ironSource Ad Intelligence in 2026: LevelPlay, ironSource Ads & Creative Evidence
The 2026 guide to ironSource ad intelligence after the Unity merger: how to tell LevelPlay, ironSource Ads, and Unity UA apart, why there's no public library, what creative evidence you can and can't observe, a workflow, format reading, and turning patterns into UA briefs.
AppLovin Ads Spy Tool & Ad Intelligence (2026): Research Creative Without a Public Library
The 2026 guide to AppLovin ad intelligence and spy tools: why AppLovin has no public ad library, what you can and can't observe, a creative-evidence workflow, how to read video and playable structure, mediation vs UA, and turning patterns into UA test briefs.
Twitter Ads Library in 2026: Where X Ads Live Now and What You Can Actually See
A complete 2026 guide to the Twitter Ads Library — why there is no product by that name, how the X Ads Repository works as a DSA transparency tool, exactly what it shows and hides, why access is EU-scoped, how to read funding-entity and reach data, how to research X competitors inside and outside the EU, how it compares to other ad libraries, the honest limits of public ad data, and where a cross-network creative tool like AdMapix fits.
App Store Competitor Keyword Ads in 2026: How to Research, Structure, and Bid Them
A complete 2026 guide to App Store competitor keyword ads — what they are, why Apple treats competitor terms as their own campaign, how to decide which rival names are worth bidding on, how to structure an exact-match competitor campaign with CPT and rank discipline, how to build a switcher-focused custom product page, the unit economics and stop-loss rules that keep it profitable, the search evidence to capture first, the honest limits of public data, and where AdMapix fits.
Apple Search Ads Spy Tool in 2026: What You Can Actually See, Track, and Reverse-Engineer
A complete 2026 guide to Apple Search Ads competitive research — why no spy tool can pull a rival's private bids or spend, what the live App Store ad slot actually proves, how ASA's structure (Basic vs Advanced, the four campaign types) shapes what you can observe, a repeatable keyword-tracking workflow, how to read bid and rank signals from your own account, how to turn observations into a keyword map and a bid-test plan, the honest limits, and where AdMapix fits.
Reddit Ads Library in 2026: The Ads Inspiration Library, Reddit Ad Examples, and Competitor Research
A complete 2026 guide to the Reddit Ads Library — why the closest official surface is Reddit's Ads Inspiration Library rather than a Meta-style transparency database, exactly what it shows and hides, how to find and read Reddit ad examples, how to judge community fit, a full competitor-analysis workflow, how it compares to other ad libraries, the honest limits of public ad data, and where a cross-network creative-intelligence layer like AdMapix fits.
Snapchat Ad Spy Tool in 2026: How to Research Competitor Snap Ads Without a Library
The 2026 guide to researching competitor Snapchat ads: why there's no commercial ad library, the four official Snap surfaces, what public data can and can't prove, reading vertical creative by format, a workflow, and turning Snap Ad patterns into testable briefs.
LinkedIn Ads Competitor Analysis: A Complete B2B Workflow for Reading, Tagging, and Out-Positioning Rival Campaigns
A flagship 2026 guide to LinkedIn ads competitor analysis for B2B teams. How to use the LinkedIn Ad Library, read competitor ads as messaging and offer hypotheses, tag every creative on six dimensions, run offer and format analysis, build recurring competitor reports, and turn it all into briefs and tests — with an honest account of what LinkedIn's public data can and cannot prove, and where AdMapix fits as a creative-evidence layer.
Pinterest Ads Library in 2026: The Ads Repository, Its Limits, and How to Research Promoted Pins
A complete 2026 guide to the Pinterest Ads Library — why it is really the DSA-driven Ads Repository, why access is EU-focused, exactly what it shows and hides, how to research promoted Pins when the repository is region-locked, how to read Pinterest creative by Pin format and category, the third-party spy methods that fill the gaps, the honest limits of public ad data, and where a cross-network creative-intelligence layer like AdMapix fits.
LinkedIn Ad Library API: What Actually Exists, What Doesn't, and the Workflow That Works in 2026
A developer-grade, honest explainer of the LinkedIn Ad Library API question. There is no public Ad Library API; LinkedIn runs a browse-only transparency website and a separate Advertising API for managing your own accounts. This guide untangles the two, explains what each returns, covers access, the legal and technical reality of scraping, the EU DSA context, and the manual-plus-tooling workflow CI teams actually use.
LinkedIn Ads Library in 2026: How to Find Competitor Ads and What It Shows
A complete 2026 guide to the LinkedIn Ads Library — how to access it from a company Page or by advertiser name, exactly which fields it shows and hides, how to read run-window longevity as a soft signal, the EU targeting disclosure, how it compares to Meta and Google ad libraries, the third-party tools that fill its gaps, the honest limits of public ad data, and where a cross-network creative-intelligence layer like AdMapix fits.
Paid Social Intelligence Tools (2026): Build a Five-Layer Stack That Improves Decisions
A practical 2026 guide to paid social intelligence tools — the five-layer stack (official libraries, search, creative, reporting, decision) that turns competitor ads into briefs, tests, and budget moves; what public ad data can and cannot prove; how to judge each tool by the decision it improves this week; and a repeatable weekly workflow across Meta, TikTok, and Google.