Your Customer Intelligence,
powered by Closed/Lost AccountWin/Loss insights.

Gather works across cybersecurity, SaaS and AI, retail, CPG and consumer, financial services, insurance, and healthcare. Customers include Fortinet, SailPoint, Datadog, Envoy, Cover Genius, Belk, and Bagel Brands, among others.

Gather covers the full funnel: brand health tracking and ad testing for awareness; messaging and positioning, concept testing, and content preference for interest; competitive intelligence, buyer persona and segmentation, and vertical research for consideration; pricing and packaging and purchase criteria or win-loss for decision; and customer experience, advocacy, and churn analysis for retention.

Every use case produces a branded research report, the ROI case behind it, a fast time to value, and the ongoing voice-of-customer that keeps strategy and storytelling current. Each also fans out into campaign-ready assets like decks, posts, landing pages, and battlecards.

A study can be live in about twenty minutes, first insights come back in hours, and a publishable report typically lands in days rather than a quarter.

A research tool hands you data. Gather runs the research and turns it into the report, the messaging, and the creative your team ships, one platform in place of a research vendor plus a content agency.

Yes. Gather runs ongoing brand-health tracking across awareness, perception, consideration, and loyalty, updated as new research lands rather than rebuilt once a year.

Start with the decision your team has actually been arguing about, not the study that sounds most impressive. In practice the highest-return first studies are win-loss when your win rate moved without an obvious explanation, message testing before a launch or a repositioning, and churn research when renewals are slipping. If no decision changes based on the answer, that is the wrong study to start with.

Hours to days from a plain English brief rather than the four to twelve weeks a traditional agency cycle takes. General population and standard B2B audiences field fastest. Senior, niche, or regulated audiences take longer because recruiting is genuinely harder. Ask any vendor, including us, for a timed pilot on one real question rather than trusting a marketing page.

No. You brief the question in plain English to Emma in Slack, Teams, or the web app, and study design, screening, fielding, and analysis run automatically with research and design experts reviewing before anything reaches you. If you do have researchers, they get faster rather than replaced, because the mechanical work stops consuming their week.

B2B starts with an $8,000 pilot covering 100 real interviews, then annual plans at $50,000, $100,000, or $200,000. B2C starts with an $8,000 pilot covering 400 interviews, then $25,000, $50,000, or $100,000. One credit is one real interview or four synthetic interviews, and credits draw down across interviews and content generation so you choose the mix.

A survey returns a number with no reason attached. A focus group returns a reason with no number you can defend. Gather runs both in the same conversation: the respondent answers the scale, then the AI probes the answer they just gave with a follow-up written from what they actually said. You get the percentage and what is behind it together, which is what makes a finding actionable rather than interesting.

It compounds rather than expiring. Every study, sales call, and verbatim feeds a Customer Intelligence Model tuned to your brand, and the six core assets, messaging house, positioning, personas and ICP, competitive framing, brand health tracker, and verbatim library, are views of that model rather than documents someone maintains. The campaign work is generated from the same place.

Yes. B2B studies recruit by role, seniority, firmographic, and in-market status and cover win-loss, purchase criteria, messaging, competitive intelligence, personas, and pricing. B2C studies recruit by demographic, category behavior, purchase recency, and region and cover brand health, ad and creative testing, concept and flavor testing, shopper journeys, price and pack trade-offs, and lapsed buyers.

Screening does more for data quality than sample size. Every wave runs profile verification, spam scoring, and speeder, straight-liner, and duplicate checks before responses enter the corpus, with screener and quota design set before fielding. A hundred verified in-market buyers tells you more than a thousand people who matched a loose demographic filter.