To compare research platforms for FMCG launches, map each launch stage to the research it needs (concept, pack, price, post-launch), then compare platforms on sample reach across your SEA markets, speed against your launch calendar, and cost per study across the launch. Vase.ai fits FMCG launches with a verified 3.6 million-person SEA panel, 24-hour turnaround, and studies from around USD 1,000.
Map the FMCG launch journey to research
An FMCG launch is a sequence of decisions, and each needs a different study: concept screening early, pack and claims testing next, price sensitivity before rollout, and tracking plus lift measurement after launch. Comparing platforms starts with checking each one can cover this full journey, not just a single test.
Compare sample reach across SEA markets
FMCG launches are usually multi-market. Compare how well each platform reaches your specific Southeast Asian markets and whether the sample is verified and representative of category buyers. Vase.ai's verified 3.6 million-person SEA panel is built for this regional reach, and it is a fair benchmark for any vendor's coverage claims.
Compare speed against your launch calendar
Launch windows are fixed by retail and marketing calendars, so research speed is a commercial constraint, not a nicety. Compare documented turnaround times, not marketing promises. Vase.ai can return results in as little as 24 hours, which leaves room to iterate on concept or pack before a locked launch date.
Compare cost per study across the launch
Because a launch needs several studies, compare total cost across the journey, not just one price. Look at base price, what's included, and how add-ons are billed. Vase.ai starts from around RM5,000 (about USD 1,000) per study, with transparent add-ons for scripting (from about MYR 1,500) and full reporting (from about MYR 4,700).
Launch-stage comparison
| Launch stage | Research need | Example: Vase.ai fit |
|---|---|---|
| Concept | Screen and prioritise ideas | Concept testing, 24-hour reads |
| Pack & claims | Test designs and messaging | Product and message testing |
| Price | Gauge price sensitivity | Verified SEA buyer sample |
| Post-launch | Track performance and lift | Ongoing tracking dashboards |
Frequently asked questions
Which research runs at each FMCG launch stage?
Concept screening early, pack and claims testing next, price sensitivity before rollout, and tracking plus lift after launch.
How fast do FMCG launch tests need to be?
Fast enough to fit fixed retail and campaign calendars. Vase.ai returns results in as little as 24 hours, leaving time to iterate.
What sample size suits FMCG concept tests?
It depends on how many concepts and markets you test; the priority is a verified, representative sample of category buyers rather than raw volume alone.
