The objections we hear on every intro call — and what we tell every brand that pushes back. Behavioral science marketing is structured work, but the right fit matters. Start here.
Our flagship engagements run in 4–8 week sprints. Each sprint is a self-contained engagement with a defined brief, deliverable, and review cadence — not a rolling month of undefined work.
The first sprint typically covers the VOC extraction and ranked-hook brief. Sprints that follow layer on performance creative, landing-page testing, or analytics builds depending on what the brand needs. Ongoing retainers stay month-to-month — there's no annual contract lock-in.
Pricing is engagement-tier and performance-aligned rather than hourly. Each sprint is scoped against a specific deliverable and the scale of VOC volume needed to back it — the work product, not the hours.
Detailed pricing is forthcoming on /pricing; for now, every quote is built around the actual deliverable you need and the volume of customer language the work touches. Reach out via /contact for a scoped conversation.
Reviews, comment threads, and organic reactions — language people actually wrote in the wild, not surveys people agreed to. We pull from the App Store, Google Reviews, Reddit, Amazon, and brand-owned communities across social.
Verified-purchase language is prioritized because it's the highest-trust signal in the dataset. Stated-preference survey responses are explicitly not used — they're treated as a different (and weaker) signal than revealed preference.
Standard surveys collect stated preference — what people say they'd do. We collect revealed preference — what people actually wrote, unprompted, in the wild.
Every line is scored on two axes: frequency (how often the framing shows up across sources) and resonance (the emotional punch the framing carries). The top-ranked lines become the creative brief — grounded in real customer language, ranked by the force that earned the scroll-stop.
See the methodology in action on /case-studies/dtc-voc-analysis, and walk through the full extraction on /case-study.
Every engagement ships:
A ranked-hook brief (the 20–40 lines cold audiences actually respond to), an objection-handling pack (the real objections your customers voice and the framing that resolves them), voice docs (linguistic patterns for tone), and creative-team-ready assets — wireframe suggestions and copy blocks your team or ours ships against.
No vague 60-slide decks. The output is designed to be handed straight to a creative team and acted on.
Customer comments are surfaced as narrated signals, never republished verbatim — they're the evidence behind the brief, not the deliverable itself.
A signed NDA goes into effect before kickoff. Customer language is never sold, licensed, or shared with third parties. Internal strategy data stays with us; aggregate insights that inform your engagement are shared only with named members of your team.
Four things:
Product or usage access (so we understand the experience your customers actually have), customer-feedback access (review exports, support transcripts, or read-only community access), your brand asset library (logos, fonts, current creative references), and a single internal point of contact for approvals.
No large client-side team build is required — most of our engagements run with one dedicated stakeholder on your end and our team handling the rest.
We generally look for brands running at least $50K/yr in paid acquisition so the sample size of customer language leaves statistical room and the testing budget supports real iteration.
That's not a hard floor. Brands below that threshold can still take a lighter qualitative engagement focused on the VOC extraction alone, without paid amplification. If you're early-stage, reach out and we'll talk through whether the engagement makes sense at your size.
If something on this list didn't cover it — or if you're ready to move from questions to a scoped conversation — start here.