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Pulse vs Circana

Last reviewed . Reviewed every quarter.

Category and analytics teams plan from Circana's receipt, UPC scan and loyalty panel data on what shoppers bought, and its surveys also pair shoppers' answers with verified purchases. Pulse vs Circana weighs it against Pulse, the AI-moderated research platform, which insights and brand teams use to interview shoppers at scale about the choices they make.

Pulse and Circana at a glance

Pulse and Circana at a glance
PulseCircana
AI-moderated interviewsYesNot checked
Dynamic follow-up / probingYesNot checked
Languages (count/list)240+ languages, enabled on requestNot checked
Own panel (size)YesYes
Theme / insight synthesisYesYes
Free trial / free tierYesNot checked

Pulse and Circana, feature by feature

Pulse and Circana, feature by feature
PulseCircana
Analysis and reportingTheme / insight synthesisYesYes
Auto-generated reportsYesYes
Chat with your dataYesYes
Interviews and studiesStimulus (concept/proto/website)YesYes
Survey / quant alongside qualYesYes
Study types offeredInterviews, surveys, trackers, concept and usability testsReceipt panel, UPC scan, loyalty panel and survey data
Participant experience (browser/app)YesPanelists upload receipts or link loyalty accounts
Recruitment and participantsOwn panel (size)YesYes
Countries / marketsGlobal23 countries, 75% of world GDP
Screeners / targetingYesYes
Security and compliancePII redactionYesMay disclose deidentified, aggregated data to customers

How Circana is priced

Taken from Circana's own pricing page.

How Circana is priced
Circana
Pricing modelContact Us for custom inquiries

When to choose Circana

Circana sells evidence of what shoppers purchased, for category decisions that have to rest on it. Its US receipt panel holds 200K static panelists. Circana is also a partner in the National Consumer Panel, a joint venture with NielsenIQ. A category manager taking a range review to a retailer, or a brand arguing for more shelf space, needs figures of that kind.

Teams whose analysts spend their days inside that data get tools built for the job. Circana's Brainwave is built to work through very large datasets at speed, and Circana runs Liquid Data and Liquid AI in a single, open platform, which suits a category analytics team that has to answer a business review's questions from receipt, scan and loyalty panel data.

Pulse runs AI-moderated interviews in which shoppers explain a choice in their own words, such as why they traded down to a smaller size, and the findings of every study stay searchable in one place for the next range review. Every quote in them traces to the shopper's transcript, so a brand manager can check a reason before carrying it into a retailer meeting. After a range change, a Pulse tracker can put the same questions to shoppers again so a change shows, and a follow-up interview study can explore what is behind it.

Moving from Circana to Pulse

  1. Brief the interview around a shelf decision. Write the first brief around a decision shoppers make in the aisle, whether to pick the brand's pack or a rival's, with the topics the interview should cover and the shoppers it should reach. The interview itself is then built by Pulse from the brief, with every shopper hearing questions drawn from the same guide.
  2. Screen shoppers on what they buy. Describe the shoppers by what they buy, where and how often, such as households that bought the family pack twice in a quarter at a grocery chain, and write screener questions that check each of those details before anyone is interviewed. Pulse then runs fraud checks on every shopper who passes.
  3. Bring in the brand's own buyers. Where the brand holds its own customer list, from a loyalty scheme or a direct-to-consumer store, upload it or share a link in the store's own emails, so the interviews reach known buyers as well as the shoppers Pulse recruits to the profile, and the two can be read side by side.
  4. Hear shoppers compare notes on the family's choice. Where a purchase is settled at home by more than one person, such as which cereal a family keeps buying, hold a focus group of shoppers who each buy for a household, beside the one-to-one interviews, so the team hears them compare how the choice is made in their homes.
  5. Put the findings in the category plan. For the category review, pass the findings through MCP into the Notion or Confluence pages where the category team keeps its plans, each quote still filed under its theme, so the next category plan starts from what shoppers said about the pack.

Testing what goes on the shelf, on Circana and on Pulse

A new pack or idea that has to be tested before it reaches the shelf brings the two together. Circana's Concept Testing covers ideas, packaging, pricing and claims. A Pulse interview can include a pack, a concept or an ad for shoppers to react to on screen, and Pulse's video insights capture the behavior and emotion in that reaction, so a brand team hears what shoppers make of a new pack before it goes into a range review.

Purchase panels and customer interviews, row by row

How panelists and participants take part

Circana panelists take part by uploading receipts or linking loyalty accounts. Pulse participants take part in a conversation about what they bought and why, speaking or typing answers to a moderator who asks again when a reply is vague, on a phone or a laptop.

Targeting shoppers and reaching markets

Circana targets shoppers by channel and purchase behavior, and its data tracks consumers and markets in 23 countries, 75% of world GDP. Pulse recruits shoppers to the profile the brief describes, and one study can take in several markets where a category is sold in more than one country.

Generated reports and presentation content

Circana's Liquid AI generates presentation-ready content. Pulse cuts shoppers' interviews into highlight reels and clips, so a category manager can play the shoppers' own voices in the range review beside the report Pulse generates from the same interviews.

Querying datasets and interview results

Circana's Emiri agent answers natural-language queries of its datasets. In Pulse, a category team can query the interview results directly, so when a brand manager asks what shoppers who moved to a store's own label said about price, the reply rests on those shoppers' words.

More on Circana