Step 2, opens after RoastIQ

Structured buyer interviews

See who still resists
before the next edit.

Start from a saved RoastIQ result. Run structured interviews across buyer personas, and surface the specific tension before the next cut.

Starts from RoastIQ. Use it when the score is clear but the buyer why still isn’t.

I have a result, open BuyerLens Run RoastIQ first

Directional signal, not final market proof. Every study attaches to a saved RoastIQ result.

BuyerLens · Summer Campaign v3Running

Amira K.

DTC Performance Marketer · Casablanca

Price resistance

“Strong craft, but the product reason arrives too late for the price point to land.”

Message hierarchyHook timingProof demand

Carlos M.

Agency Creative Strategist · Madrid

Too many asks

“Opens well but stacks three asks before the first pause.”

CTA overloadPace

Yuki T.

Authenticity-first buyer · Tokyo

Interviewing…

forming response on authenticity gap

Coverage

8 of 12 buyers

The room agrees something’s off

RoastIQ told you what.
BuyerLens tells you who.

The score is clear. The team still argues about which buyer is resisting and why. That’s the gap BuyerLens fills, not another debate, a structured pressure-test against the same creative question.

01

Start from a saved RoastIQ result

Score, benchmark frame, and decision state carry over. The study stays anchored to the real creative, not a blank brief.

02

Pressure-test against buyer lenses

Same structured interview spine across selected personas. Compare hooks, messages, and edit paths without losing the original verdict.

03

Move between edit rounds

Get a sharper buyer-specific reason before the next cut or retest. Narrow the next edit path before you spend another day shooting.

Watch a study run

Ninety seconds, end to end. No prompting required.

This isn’t open-ended ChatGPT. It’s a structured handoff, pick a saved RoastIQ result, confirm the brief, run the panel, switch between raw interview voice and the synthesized report.

BuyerLens, panel workflow walkthroughLive MVP

Study in progress

RoastIQ result attached · 3 buyer lenses confirmed · Interviews running

How it works

A clear handoff after RoastIQ, not open-ended prompting.

Choose a saved RoastIQ result, confirm the study brief, run the interviews, then switch between interview voice and the executive synthesis.

01

Choose the RoastIQ result

Start from the saved report still missing a buyer-specific explanation.

02

Confirm the study brief

Focus, decision state, and benchmark frame carry over automatically.

03

Run the interviews

Same structured spine across every selected persona, comparable, not anecdotal.

04

Review voice and report

Toggle between raw interview turns and the synthesized executive summary.

Sample output

What the study returns to the room.

An executive summary, the raw buyer voice, and a next move the team can carry into the next edit. No vague recommendations.

Study summary

Summer Campaign v3 · 3 buyer lenses · n=12

Executive summaryRaw voiceNext move

Amira

DTC Performance Marketer

“Proof arrives before the price point is spoken, or the skip is earned.”

Price resistance

Carlos

Agency Creative Strategist

“Opens well but stacks three asks before the first pause.”

Message overload

Yuki

Authenticity-first buyer

“The product feels secondary to the lifestyle. No personal hook before second half.”

Authenticity gap

Next move

Lead with proof before the price claim. All three buyer lenses flag early value-prop hierarchy as the shared edit direction.

The science

We obsess over buyer-specific direction, not a single accuracy number.

BuyerLens is a structured pressure-test, not a replacement for human research. Here’s how studies stay grounded, and how we judge whether one is strong enough to act on.

How studies stay grounded

Every study starts from a saved RoastIQ result

BuyerLens never opens from a blank brief. The score, benchmark context, and decision state are attached from the start, so the interview stays focused on the specific creative question the room is debating, not on rediscovering what the score already settled.

How we judge study strength

Coverage indicators, not a single accuracy %

One accuracy number would be misleading. BuyerLens surfaces coverage indicators across buyer lenses, so you can judge whether the study captured enough thematic ground to act on the finding, or whether more depth is needed.

The right way to use it

Directional signal, not final market proof

BuyerLens is scenario simulation, not a real consumer panel. Use it for pattern discovery and decision orientation while the team is still editing and comparing routes, and allocate human research budget for the depth only real people provide.

Trusted by operators

Operators already running pre-spend diagnostics with SaliencyLab.

Brand directors, paid-media leads, and founders who decide before the budget goes live.

Running L’Oréal Paris in Morocco means balancing global brand codes with local cultural nuance. SaliencyLab’s MENA-aware benchmark finally gives brand managers here the same creative intelligence that global teams in Paris have had for years.

Zainab Lahlou

Brand Director, L’Oréal Paris Morocco

Casablanca, Morocco

I’ve bought paid media from Beirut to Rome, across Amazon, Instagram, Pinterest, and LinkedIn, and every channel has its own creative failure mode. SaliencyLab is the first diagnostic I’ve used that flags what’s wrong before the data comes in, when I can still change the cut.

Melody Abboud

Senior Media Manager, FBU Solutions

Rome, Italy

I’ve built products on YC’s playbook: validate cheap, ship fast. SaliencyLab is how I validate creative without briefs or wait times. And as a Moroccan founder, watching the MENA benchmark deepen every week genuinely matters.

Amine Benjelloun

Co-founder & CTO, Mailwarm (YC S20)

Dubai, UAE

Where it sits

Faster than a panel. Sharper than a chat.

BuyerLens fills the gap between “type a question into ChatGPT” and “commission a $20K traditional panel”, pre-spend, pre-cut, between every edit round.

Asking ChatGPT

Open-ended prompting

One-off response, no comparable interviews
No persona scaffolding or structured spine
No tie to a scored creative
No auditable turns or coverage signal

BuyerLens

BuyerLens

Structured synthetic panel

6–12 buyer lenses against the same creative question
Same structured interview spine across personas
Always opens from a saved RoastIQ result
Auditable turns + coverage indicators · under 2 min

Traditional panel

Recruited consumer research

Validated, gold-standard depth from real people
$2,000–$50,000 per study
Days to weeks per round
Reserved for final-stage validation, not iteration

FAQ

Questions teams ask before they use it.

BuyerLens is directional signal, not final market proof.

Start with RoastIQ first

No, and we are explicit about that. BuyerLens is the fast directional layer inside SaliencyLab. Use it after RoastIQ gives the first decision, then spend human research budget on the depth only real people can provide.

Open the buyer layer only when needed

Keep the score attached. Open the buyer why only when the room still argues.

BuyerLens works best when RoastIQ has narrowed the question. Start from the saved result, compare structured interviews, and bring back the specific friction before the next cut.

Directional signal, not final market proof.

Open BuyerLens Run RoastIQ first

Skip ThresholdVisual SalienceBrand RecallProof DemandAd FatigueCultural Resonance

Amira K.

Yuki T.

Jordan L.