Marketing & Growth

Measures how recipients actually notice, read, and act on direct mail pieces — postcards, catalogs, letters — versus digital channels, with a best-worst exercise on what drives response and an AI follow-up that reconstructs what happened after a specific piece landed in someone's mailbox. Built for marketing teams and direct mail agencies evaluating campaign performance.

Measures how well your website or marketing chatbot resolves visitor questions, builds trust, and moves people toward a purchase or signup. An AI follow-up interview reconstructs the respondent's most recent chatbot conversation in detail, surfacing exactly where it helped or broke down. Built for marketing and CX teams evaluating a live chatbot deployment.

Measures whether a specific influencer or creator campaign actually changed awareness, trust, and purchase behavior — not just impressions. Built for brand and growth marketers evaluating a campaign, with an AI follow-up that reconstructs the real moment a customer decided (or chose not) to act after seeing the content.

A self-assessment for marketers, founders, and agency teams to check how complete, resourced, and confidence-inspiring their current marketing plan actually is — covering goals, audience, budget, channels, and measurement. The AI follow-up interview digs into whichever plan component the respondent flags as weakest, uncovering the real blocker instead of a generic 'needs work' answer.

Assesses how clearly a business can articulate what makes its brand different, how consistent that identity feels across touchpoints, and where a rebrand or refresh should focus first. Built for brand consultants and marketing leads kicking off an engagement. An AI follow-up interview digs into the exact moment differentiation breaks down, surfacing concrete examples instead of vague brand talk.

Screens content writer applicants on experience, content types, self-rated skills, working style, and rate expectations. An AI follow-up interview reconstructs how a candidate actually approached a real writing sample or assignment, surfacing genuine process over rehearsed self-praise. Built for hiring managers and recruiters filling writing roles.

Screens applicants for a brand ambassador program by capturing their platforms, audience size, content style, and motivation for joining — then uses an AI follow-up interview to probe authentic brand fit and how they'd actually talk about the product, rather than just what they claim on a form. Built for marketing and influencer teams vetting candidates at scale.

Evaluates how recipients actually experience your marketing or product emails — layout, readability, mobile rendering, and visual hierarchy — rather than just open and click rates. An AI follow-up interview digs into what made a specific recent email easy or hard to act on, surfacing design friction that analytics alone won't show.

Measures how fashion marketing content — social posts, influencer collabs, email, in-store displays — actually shapes discovery and purchase decisions, not just brand recall. Includes a best-worst trade-off on content types and an AI follow-up interview that reconstructs the real moment a shopper decided to buy (or didn't).

Measures which digital marketing channels customers actually notice, trust, and act on — from social ads to email to influencer content — and how they'd prioritize messaging and budget. An AI follow-up reconstructs the specific ad moment that shaped their perception, surfacing the 'why' behind trust or annoyance that closed questions miss. Built for marketing teams evaluating channel mix, creative, and spend.

Maps how people actually spend time on social platforms, which content formats earn a follow, and how that behavior translates into purchases — with an AI follow-up interview that reconstructs a real recent purchase decision instead of relying on self-reported influence scores. Built for marketing and growth teams sizing up social strategy.

Maps how your brand actually lives in customers' minds — unaided recall, aided awareness, familiarity, image attributes, consideration, and recommend intent — plus a best-worst trade-off on what drives choice in the category. An AI follow-up interview digs into the reasoning behind low scores or shaky consideration instead of leaving it as a number. Built for brand and marketing teams tracking health over time.

Gauges how customers and prospects actually experience a company's marketing — which channels land, whether the message is clear and differentiated, and how the brand's qualities come across. An AI follow-up interview digs into the 'why' behind clarity and differentiation scores instead of stopping at the number.

Captures why donors gave to a specific fundraising or political campaign, how smooth the giving experience felt, and how likely they are to give again — with an AI follow-up that digs into the real reasons behind a donor's likelihood-to-repeat score instead of a generic satisfaction rating. Built for nonprofits, campaigns, and cause marketers running donation drives.

Tests how a specific ad lands — attention, message clarity, believability, likability, and purchase intent — plus which creative elements actually stick. An AI follow-up interview digs into the 'why' behind the intent score so you're not left guessing from numbers alone. Built for brand and creative teams pre- or post-launch.

Tests a single ad — video, print, or social creative — for clarity, appeal, relevance, and purchase impact before it goes live. An AI follow-up interview digs into the specific moment respondents got confused, bored, or excited, surfacing the 'why' behind the ratings so creative teams know exactly what to cut, keep, or clarify.

Tracks the full brand funnel — unaided and aided awareness, consideration, trial, usage, and recommendation — benchmarked against named competitors. An AI follow-up interview digs into where respondents actually drop out of the funnel and why, going beyond the numbers to the specific moment consideration stalled. Built for brand and marketing teams running quarterly brand health trackers.

Tracks where prospects and past buyers stand in the path from awareness to purchase, what drives or blocks that decision, and how price perceptions factor in — with an AI follow-up that reconstructs the specific moment someone almost bought (or almost switched away) instead of relying on generic attitude ratings.

Tracks how your brand is remembered, perceived, and chosen versus competitors — awareness, attribute ratings, and recommendation likelihood — then uses an AI follow-up to uncover the real reasons behind each respondent's recommendation score. Built for marketing teams running quarterly or annual brand health checks.

Measures the core drivers of brand strength — unaided and aided awareness, familiarity, consideration, attribute perceptions, and likelihood to recommend — benchmarked against named competitors. An AI follow-up interview probes why respondents rate the brand as they do, surfacing the perceptions behind the numbers for marketing and brand teams running health trackers.