B2B product sampling for founding consumer brands
Hyper-targeted product sampling with structured consumer feedback and retail-ready evidence. Currently in private beta — cohort one is capped at 100 founding brands.
Application-only · Founding pricing locked for the life of the account · No long-term contract
The trial-to-purchase loop has been broken for thirty years. We're rebuilding it.
For most of the last three decades, product sampling looked the same: an underpaid demo rep at a Costco end-cap, a polybag thrown on a suburban porch, or a mall kiosk handing samples to whoever passed by. The problem isn't the format — it's that none of it generates usable consumer signal. You can't tell a buyer whether the people who tried your product actually wanted to buy it, because you never knew who they were in the first place.
FMCG HQ's sampling engine starts with the opposite premise: every sample is a structured experiment. Before a single unit ships, we know who is receiving it, why they fit your target audience, and what signal we'll capture in return — purchase intent, repurchase likelihood, rights-cleared UGC, and sentiment across taste, packaging, claims, and price.
The goal is a feedback loop that compresses what used to take a 12-week qualitative study into a 14-day pilot with quantitative readout. CPG operators will use it to de-risk new-SKU launches, generate retail-ready trial evidence for buyer meetings, reactivate lapsed customer cohorts, and validate region-specific reformulations before scaling production.
We're in private beta with cohort one — a capped group of founding brands willing to build the methodology with us. If you're launching a SKU, reactivating a lapsed cohort, or walking into a retail buyer meeting and want trial evidence instead of vibes, apply to cohort one.
Sampling done right is the cheapest, fastest way to de-risk a CPG launch. It catches the wrong SKU at the 2,000-unit stage instead of the 50,000-unit stage. It turns “the audience says they love it” into “the audience pays for it.” And it generates the rights-cleared UGC that makes paid-social actually convert.
What changes when sampling becomes infrastructure, not an event
With FMCG HQ
- Recipients are identity-verified and behaviorally pre-qualified
- Audience match is computed per-SKU using purchase history, dietary, and channel signal
- Every recipient is contracted to provide structured feedback within 7 days
- UGC, sentiment, and repurchase intent flow back into a live dashboard
- Multi-market roadmap — beta cohorts open as fulfillment + compliance ship in each market
- Rights clearance and region-specific labeling reviewed before any pilot dispatches
- Founding-cohort pricing locked for the life of your account
Traditional sampling
- Recipients are anonymous foot-traffic or polybag drops
- Targeting is geographic, not behavioral — your sample lands wherever the route lands
- Feedback collection is opt-in, low-quality, and weeks late
- Content rights are a separate negotiation, often after the campaign ends
- Each market requires a separate vendor, brief, and reconciliation
- Compliance review eats 4–8 weeks before a campaign can launch
- Minimum buys force six-figure commitments before you know if anything works
Most brands switch to FMCG HQ sampling after a single failed agency-led pilot. The pattern is consistent: traditional sampling produces vibes; cohort one sampling produces signal. That difference shows up in retail buyer meetings, repurchase forecasting, and Year-1 contribution margin.
How a sampling pilot actually runs on FMCG HQ
A five-step process from brief to retail-ready evidence. Most pilots ship within 14 days of brief approval.
Audience modeling
- First-party purchase data from identity-verified recipients (cohort scaling with the beta)
- Lookalike modeling against your existing retention cohort (CSV upload or Shopify / Klaviyo connect)
- Exclusion logic to filter resellers, demo-only households, and competitor employees
SKU prep & compliance
- Regulatory templates shipping per-market as the beta footprint expands
- Optional in-pack QR linking recipient survey + UGC brief
- Carbon-neutral fulfillment option (PostPanda offsets, audited)
Dispatch & in-home arrival
- US-first beta · expanding fulfillment by market as cohort one demand validates each
- Ambient-stable products today · cold-chain on the cohort one roadmap
- Pilot-scale operations: we ship what we promise, even at small volumes
Structured feedback collection
- 12-question survey with category-specific batteries
- Optional UGC: 60-second video, 3 stills, hashtag-tagged social post
- NPS, repurchase intent, taste / scent / texture / efficacy scores
Signal readout & retail evidence
- Buyer-ready PDF + Looker / Snowflake export
- UGC asset library with usage rights and creator-level attribution
- Lapsed-cohort and competitor-switcher analysis included as standard
Each step is designed to compress the slowest part of the consumer-goods launch loop: the time between “we have a hypothesis” and “we have buyer-ready evidence.” What used to take a 12-week CLT panel now ships in two weeks with cleaner cohort data, paid-media-cleared UGC, and a live dashboard your retail team can hand to a buyer the next day.
Five sampling jobs the engine does better than anything else
Pilots range from 500-unit category tests to 250,000-unit national reactivations. The methodology adapts; the infrastructure scales.
Validate before you commit to a 50K-unit production run
Walk into Target / Whole Foods with real trial-to-purchase evidence
Bring back the cohort that churned six months ago
De-risk a country entry as new beta markets open
Test the new formula against the old one in-home
Help a creator brand prove demand outside its founder audience
The common thread across every use case: identity-verified recipients producing structured, retail-ready signal. Whether you're launching a first SKU, walking into a Whole Foods buyer meeting, or validating a multi-market expansion, the underlying methodology is the same — and cohort one founding brands lock in pricing for life.
FMCG HQ vs every other way to do sampling
An honest comparison. The right tool depends on your goal — but the choice usually isn't the one a brand assumes.
| Capability | FMCG HQ (beta) | In-store demos | Polybag / mailers | CLT panel |
|---|---|---|---|---|
Identity-verified recipients Anonymous foot-traffic or unverified household drops produce no usable cohort data. | ||||
Behavioral audience targeting Targeting beyond geography requires a recipient database with first-party signal. | Limited | |||
Structured feedback collected at scale | Opt-in only | |||
Rights-cleared UGC bundled | ||||
Multi-market roadmap | US-first · expanding | 2–3 markets | ||
Time from brief to signal | 14 days (target) | 8–12 weeks | 6–10 weeks | 8–14 weeks |
Pricing model | Founding-cohort, locked | $25K+ | $15K+ | $60K+ |
Retail-buyer-ready evidence pack | Limited | |||
Reactivation use case supported |
The honest comparison: traditional in-store demo and polybag sampling work when you only need awareness. Once you need buyer-ready evidence with cohort-level repurchase intent, the math shifts decisively. Cohort one founding pricing makes the gap even sharper — and it's locked in for the life of your account.
The five capabilities behind the engine
Each is available as a standalone product. Together they form the sampling stack most CPG operators are otherwise stitching together from 4–6 vendors.
Audience Match — behavioral targeting on a verified recipient graph
- First-party signals only — no third-party data
- Lookalike modeling against your existing cohort (CSV / Shopify / Klaviyo)
- Exclusion of resellers, demo households, competitor employees
Compliance Mesh — region-by-region labeling, no 8-week legal cycle
- Allergen and claims pre-validation
- In-pack QR generation with per-region survey routing
- Audit trail for retail buyer disclosure requirements
UGC Bundle — rights-cleared content as a sampling byproduct
- Paid-media, worldwide, perpetual usage rights cleared at brief time
- Briefing guardrails ensure brand safety without scripting authenticity out
- Creator-level attribution on every asset
Signal Stream — live readout instead of a 30-day-late deck
- Real-time cohort views and segment drill-down
- Buyer-ready PDF auto-generated on pilot wrap
- Looker / Snowflake / BigQuery connectors + REST API
Multi-market roadmap — one brief, the markets we've shipped
- US-first beta footprint · additional markets on the public roadmap
- Localized survey instruments (translation + cultural validation) — shipped per market
- Cross-market comparison reporting as a cohort one default once two+ markets are live
Each capability is built to do one specific operational job better than the patchwork of vendors most CPG operators stitch together. The compounding value is the graph effect: every additional cohort one brand running campaigns through these capabilities improves the signal for every other cohort one brand.
What founding brands get for showing up early
Whatever pricing we agree on during beta stays with your account for the life of the relationship. We do not re-price cohort one as we scale.
A private Slack channel with the founding team. No tickets, no tiered support — cohort one pings, we respond.
We earn the next month by being useful this month. If we're not delivering, you walk — no termination fee, no clawback.
Cohort one votes on the public roadmap. We ship what you actually need first — not what looks good on a pitch deck.
Four commitments, all written down, all binding. The thesis: brands that show up during private beta to build the methodology with us deserve locked terms forever. We can't change cohort one pricing later, even if we want to. That asymmetric commitment is what makes this work.
Common questions we get
Have more questions? Please contact our team.
Related reading
Apply to cohort one
Private beta · 100 founding brand cap · founding pricing locked · no long-term contract. We respond to applications within one business day.