Keep the source close.
A strategy claim should lead back to the ads, destinations, and classified signals that support it.
Why we are building this
Advertising is where positioning meets a budget, a buyer, and a deadline.
That makes public campaign activity one of the clearest records of what a company is actively trying to make the market believe.
A competitor's website explains the company. Its advertising reveals the arguments it chooses to repeat.
Across enough ads and destinations, those arguments form a system: audience, pain, promise, proof, offer, and journey.
Competitor Radar makes that system visible and useful to the marketers planning the next move.
Product principles
Three rules for credible campaign intelligence.
The product earns trust by preserving the connection between source evidence, repeated pattern, and strategic interpretation.
Attach the confidence level.
Observed facts, inferred patterns, and unknown private data must remain visibly different.
End with a decision.
The output should sharpen a position, campaign hypothesis, brief, monitoring priority, or test.
The build path
From one platform to the full campaign picture.
We are completing depth before breadth: a working LinkedIn intelligence system first, then new platform surfaces and the shared strategy layer.
LinkedIn campaign intelligence
Public ad collection, landing-page enrichment, campaign classification, analytics, strategy synthesis, and quality review.
Meta and Google evidence
Native platform signals organized through the same company, campaign, message, funnel, offer, and proof taxonomy.
Cross-platform strategy
A unified competitor record showing how the same company changes its creative, message, offer, and journey by platform.
Who we want to build with
Marketers with a recurring competitive question.
Paid media and demand gen→Teams choosing campaign territory, offer, and funnel emphasis
Product marketing→Teams tracking category language, proof, and positioning pressure
Agencies and strategists→Teams building defensible client recommendations from public evidence
DL
Builder / Marketer / Operator
San Francisco + Beijing
Built by Daniel Liu
Built from the marketer's side of the table.
Daniel is a growth and demand generation marketer whose work spans paid media, ABM, marketing operations, automation, and applied AI. Competitor Radar comes from the recurring work behind real campaigns: collecting market evidence, turning it into a usable point of view, and aligning media, messaging, creative, and operations around the next decision.
Demand GenerationPaid Media + ABMMarketing AutomationAI + Operations
Meet Daniel ↗