Welcome to SaliencyLab
Learn how to research competitor ads, diagnose creative with RoastIQ, interpret benchmarks, and explore buyer reactions with BuyerLens.
SaliencyLab is a creative intelligence workspace for teams making paid-social advertising decisions. It connects three jobs that are usually split across different tools: learning from competitor ads, diagnosing your own creative, and understanding likely buyer reactions.
Use this documentation to move from a creative question to an evidence-backed next step. Each guide explains what the product shows, how to interpret it, and where its evidence stops.
Start with the decision you need to make
- Browse the market: Study competitor ads and public outcome signals before choosing what to make or test.
- Diagnose a creative: See where an ad sits across five creative KPIs and what evidence drives the result.
- Explore the buyer why: Use BuyerLens when the diagnosis leaves an audience question unanswered.
- Integrate the API: Submit analyses programmatically and retrieve results from your own workflow.
The recommended workflow
- Create or open a project so brand context and analysis history stay together.
- Browse Market for relevant category, platform, format, and market evidence.
- Run RoastIQ on the creative you are deciding about.
- Read the verdict, evidence, and recommended edit in context—not as isolated scores.
- Open BuyerLens only when you need a deeper explanation of buyer reactions.
What SaliencyLab does not claim: SaliencyLab gives modeled creative diagnostics and benchmark context. It does not guarantee campaign performance or replace live campaign measurement, brand-lift research, or representative consumer research.
Choose the right starting point
| If you need to… | Start here | You should leave with… |
|---|---|---|
| Understand what competitors are running | Market intelligence | A relevant pattern or comparison set |
| Review an image or video before launch | RoastIQ | A prioritized diagnosis and edit hypothesis |
| Explain a score or verdict | Understanding results | The evidence, benchmark, and confidence behind it |
| Explore an audience-specific objection | BuyerLens | Buyer hypotheses to investigate or test |
| Automate analysis from another system | API reference | An asynchronous integration workflow |
Core concepts
- Project: the durable container for a brand, campaign, context, and related analyses.
- Creative diagnosis: a modeled assessment of what the ad communicates and how its execution may work.
- Benchmark: the comparison context used to interpret a score. It is most useful when platform, market, category, format, and length are closely matched.
- Confidence: an indication of how strongly the available evidence supports an interpretation. It is not the probability that an ad will succeed.
- Observed evidence: a signal originating from an external platform or measured source.
- Synthetic perspective: a simulated audience response used to generate hypotheses, not representative research.
A practical decision loop
- Write down the decision before opening a tool: approve, revise, choose between variants, or investigate an audience question.
- Select the closest available context instead of the broadest benchmark.
- Read the evidence before reacting to the headline score.
- Turn the diagnosis into one material edit with a clear reason.
- Re-test the variant or validate it with live campaign data.
This loop keeps the output connected to an actual creative decision and makes later comparison more meaningful.