Kantar and Ipsos sell research engagements. Merciv is software that runs continuously between them. This is a coexistence guide, not a case for cancelling a project.
The question that arrives on a Tuesday and does not justify a new statement of work
Kantar and Ipsos are built for the gated decision: a launch, a repositioning, a creative call, with methodological depth and consultants who know your category. That work is genuinely good and this page does not argue otherwise. What neither is built for is the question that turns up between engagements — and what nothing leaves behind is something you can query afterwards. Merciv is that layer: a standing, cited read on what consumers are saying and doing, connected to the research you have already paid for.
Built for the gated decision
Kantar and Ipsos bring methodological depth, category consultants and validated instruments to the decisions that need defending most.
Speed is theirs, not ours
Kantar's LINK AI predicts an ad's in-market success in under 15 minutes without a consumer sample. Ipsos's Creative|Spark AI returns insight in minutes. We do not compete here.
What persists afterward
Merciv keeps a queryable, cited evidence base that compounds across questions — including over the reports these firms have already delivered you.
Merciv vs. Kantar and Ipsos, capability by capability.
The comparison that matters is not quality of method — theirs is excellent — but what you can still ask once the engagement has closed.
| Capability | Merciv | Kantar and Ipsos | Why it matters |
|---|---|---|---|
| What you are buying | Software that runs continuously: a standing scored read on consumer signal, plus a cited answer whenever a question comes up. | A research engagement — designed methodology, fielded sample, expert interpretation and a delivered readout, usually against a specific decision. | The shapes are genuinely different and both are legitimate purchases. An engagement gives you rigour and a named expert accountable for the answer. Software gives you something to ask next week without a new scope. |
| Speed | Answers come from an already-connected evidence base, but speed is not the reason to choose Merciv and we do not pitch it. | Fast, and getting faster. Kantar's LINK AI predicts an ad's in-market success in under 15 minutes with no consumer sample fielded, drawing on decades of ad tests. Ipsos's Creative|Spark AI generates insight within minutes off a validated creative database. | Conceded outright. If a vendor tells you full-service research is inherently slow, they have not read these two firms' product pages. What remains true is that the fast products are the price list and the deep programmes are the work — a strategic brand programme still runs on a scale of months, and that is a scoping reality rather than a criticism. |
| What is left behind afterwards | A queryable evidence base that keeps accumulating: past answers, sources and brand context stay live and searchable, and the reports you already commissioned can sit inside it. | A deliverable — a readout, a framework, a tracker dashboard — plus the expertise of the people who worked on it. | This is the argument, and it is about substrate rather than quality. When the follow-up question arrives, a deck answers it only if someone remembers the deck. Ask the practical version in your own organisation: what did last year's engagement tell us that we can still interrogate today, without emailing the agency? |
| Between the engagements | A standing scored feed of the few consumer changes that matter, so a shift surfaces before the next wave is commissioned. | Trackers provide continuous measurement on the dimensions they were designed around. Ipsos also owns Synthesio, which is a genuinely always-on social intelligence platform rather than a project. | Worth stating clearly because the lazy version of this argument is wrong: these firms do run continuous instruments. A tracker measures what it was built to measure, which is exactly its value and also its boundary — a new question generally needs a new instrument. And if Synthesio is already in your stack, always-on external listening is a box you have ticked. |
| Synthetic and AI-assisted work | No synthetic respondent product; personas stay grounded in your real licensed consumer data and traceable back to it. | Both ship it. Kantar has LINK AI and synthetic sample boosting for hard-to-reach or small groups, and states that synthetic augments rather than replaces real data and cannot create authenticity from nothing. Ipsos ships Digital Twins and PersonaBots, describes twins as capable of responses statistically indistinguishable from real participants, and is building validation protocols with a Stanford lab. | Two different levels of confidence in the same technology, both published, and worth reading side by side before you form a view. Kantar's caveat is the more conservative and, we would argue, the better guide. Note that declining to ship synthetic respondents is not itself a differentiator — the mechanical difference is whether an individual finding carries a citation and a confidence score. |
| Tracing a specific claim | Each finding carries a citation you can open from inside the exported artifact, plus a confidence signal on that individual finding. | Rigour is expressed at the study level — sample design, weighting, validated instruments, and a named expert who will defend the interpretation. | Study-level rigour is real and in some ways stronger than anything software provides: a statistician stands behind the number. The gap is granular. When a single sentence in a board deck is challenged six months later, a methodology appendix and an expert's memory are a slower route to the source than a link. |
| Best fit | Teams who need a standing read on the outside world and cited answers between the big engagements. | The decisions that justify a programme: launches, repositionings, creative investment, brand architecture — anywhere you need validated method and expert accountability. | Almost every large consumer brand needs both, and the presence of a full-service relationship is a sign of a funded insights function rather than a gap to exploit. |
Where each tool wins
No tool is the best at everything. Picking the right one means knowing where it pulls ahead — and where it doesn’t.
Where Merciv wins
- The question between engagements — asked and answered without a new scope of work.
- A citation on each claim that opens from inside the artifact, plus a confidence signal on the individual finding.
- An evidence base that compounds: past answers and sources stay queryable instead of living in a delivered deck.
- Can reason over the reports these firms already delivered you, alongside live external signal.
- Surfaces changes nobody commissioned a study about.
Where Kantar and Ipsos win
- Methodological depth and validated instruments built over decades, with a statistician accountable for the number.
- Category and market consultants who know your business and will argue with your assumptions.
- Representative sample design, weighting and the statistical discipline that regulated or high-stakes work demands.
- Genuinely fast AI products: Kantar's LINK AI predicts in under 15 minutes with no sample fielded; Ipsos's Creative|Spark AI in minutes.
- Ipsos owns Synthesio, an always-on social intelligence platform — external listening at scale is already in their portfolio.
- Global fieldwork reach and local execution in markets where running your own research is genuinely hard.
- Kantar's published caution on synthetic data — that it cannot create authenticity from nothing — is a more careful position than much of this category takes.
Keep the engagement. Add the layer between them.
Nothing here is an argument for cancelling a research programme, and if a vendor makes that argument to you it is worth asking what happens to the decisions that programme was protecting. The gap is not quality of method. It is that a project ends, and questions do not.
- Keep Kantar or Ipsos for the gated decision and the work that needs an accountable expert.
- Add Merciv for the standing read and the questions that arrive between waves.
- Point Merciv at the deliverables you already own, so past engagements stay queryable instead of archived.
If you sponsored the engagement, this should make you safer
An insights leader who chose a full-service partner has publicly staked credibility on that choice. The useful version of this conversation is not that the choice was wrong — it is that the investment becomes more defensible when the recommendations coming out of it carry sources and when nothing in the category blindsides you between waves.
- Citations on a recommendation protect the person presenting it, not just the analysis.
- A continuous read means you are never the last person in the room to learn something changed.
- Persistent context makes each successive engagement start from more than someone's memory of the last one.
Use a question your last project could not answer
The cleanest test is a real follow-up. Take a question that came up after an engagement closed — a regional cut, a competitor move, a claim that needed defending — and see what it would have taken to answer it each way.
- Through the incumbent: what would the scope, timeline and cost of answering that have been?
- Through Merciv: ask it directly, then click the sources behind the answer.
- Then judge on defensibility rather than turnaround, since turnaround is a fight we have already conceded.
