Best Concept Testing Platforms for CPG Companies in 2026

Zappi is built for innovation teams that test concepts often and need every result on the same scale. Its automated templates cover concepts, packs and creative, and its normative database helps a team judge a score against category history rather than in isolation. For a pipeline with many ideas, that repeatability is the main attraction.

Speed is the second reason teams choose Zappi. Once an account is set up, studies can return in days rather than weeks, which fits agile stage-gate work. The trade-off is that pricing requires a sales conversation, and highly custom research designs may fit less neatly into standard templates. If your team values comparable, repeatable scores above bespoke methods, Zappi is a strong first call.

NielsenIQ BASES is the established gate for many large packaged goods launches. It combines concept testing with volumetric forecasting, so leaders get an estimated sales range rather than only a preference score. That forecast, built on a large base of past launches, is why some companies treat a BASES read as a required step before production spending.

The cost of that rigour is time and budget. A full study runs for weeks and is priced as a project or program, not as a self-serve subscription. Newer BASES AI screening tools aim to speed early idea checks, but they do not replace the full forecast for a major launch. Choose BASES when the decision involves real factory, distribution and media spending, and use a faster screener for earlier rounds.

Kantar Marketplace brings Kantar methods into automated, self-serve style tests. Concept eValuate tests new product and service concepts with diagnostic measures, while related modules cover idea screening, pack design and price sensitivity. That range helps a team move from an early idea to a priced pack without switching vendors at each stage.

Country coverage is another strength, since the platform operates in many markets and draws on Kantar frameworks for brand and behaviour. The limits are familiar for enterprise research: pricing is quote-based, and the most tailored analysis still needs expert help. For global brands that want method depth with faster turnaround than a fully managed study, Kantar Marketplace sits in a useful middle ground.

Suzy combines survey-based concept testing with live qualitative research in one platform. A team can run a monadic concept test, then speak with consumers in a live session when a score alone does not explain the result. That blend helps CPG teams understand both which concept wins and why shoppers reacted as they did.

The panel is available on demand, so studies can start quickly, and the platform also supports pack, claim and usage testing. The main barrier is the subscription model, which suits teams running many studies a year better than a team with one launch. If your brand tests concepts, packs and creative throughout the year, Suzy can replace several separate vendors. For a single test, a per-study platform may cost less.

Attest is a practical choice for challenger and mid-sized CPG brands that need reach without an enterprise research budget. Its panel spans many countries, and its templated concept testing modules help teams without a dedicated research function get a usable read quickly. Flat-rate pricing also makes budgeting more predictable than quote-based agency work.

The honest limit is depth. Attest gives a broad, survey-based view of appeal and purchase intent, rather than the detailed diagnostics or forecasting of BASES or Kantar. That is enough for screening and prioritisation, and for many smaller launches it is enough for a decision. For a launch backed by major capital spending, pair it with a deeper study before the final call.

Upsiide, built by Dig Insights, takes a different approach to early screening. Consumers swipe through ideas in a mobile format, which feels closer to a shelf decision than a long rating scale. A single study can screen up to dozens of concepts, and its market simulator models share, cannibalisation and incrementality across the set.

That portfolio view is valuable when a team must choose a small range from a large idea pool. The trade-off is depth on any single concept, since the format is designed for ranking rather than rich diagnosis. Teams that need to know why a winner won should add a qualitative or diagnostic layer after screening. For the first cut of a large pipeline, Upsiide is efficient and easy for non-researchers to read.

Qualtrics is an enterprise experience platform that many large companies already use for surveys, and its concept testing tools sit inside that wider system. Teams can design monadic and sequential tests, apply advanced statistics, and build dashboards that update as results arrive. Integrations with panels and business systems help when concept results must feed a wider product process.

The strength of Qualtrics is flexibility, and that is also its demand on the buyer. It works best with research skill in house, since templates alone do not replace study design, sampling and analysis choices. Pricing is enterprise and quote-based, so smaller brands may find a CPG specialist cheaper for a single test. For a large company that wants one research platform across many uses, Qualtrics is a credible core choice.

Highlight fills a gap that online concept tests cannot cover, since shoppers react differently when they actually use a product at home. The platform ships physical products to testers and collects feedback on taste, texture, scent, pack handling and everyday use. That evidence matters for food, drink, personal care and household goods, where a board concept can hide a real usage problem.

Physical testing takes longer than a digital screen, and logistics add cost, so Highlight is not the tool for screening hundreds of early ideas. Its value appears later, when a shortlist needs real-world validation before launch. Teams that pair a fast online screener with Highlight for finalists get both speed and usage evidence. Check current pricing and timelines with the vendor, since both depend on product type and sample size.