Newsletter Content & Engagement Feedback Survey

Measures whether a specific ad gets noticed, understood, and acted on — covering recall, message takeaway, creative appeal, and purchase intent — with an AI follow-up that digs into the real reasons behind stated purchase intent instead of taking the number at face value. Built for marketers testing a campaign, creative concept, or media placement.

Measures whether subscribers actually open, skim, or read your newsletter, what content keeps them subscribed, their ideal send frequency, and what pushes them toward unsubscribing. The AI follow-up digs into the real moment a reader almost unsubscribed, not just the stated reason.

Finds out whether your email newsletter is earning opens, feels relevant, and is sent at the right cadence — for anyone who owns a mailing list. An AI follow-up interview digs into the real reason behind low relevance or satisfaction scores instead of settling for a number.

Measures how readers actually consume a magazine — print or digital — how satisfied they are with specific sections, and which content types they'd trade off against each other. An AI follow-up interview digs into the real story behind each reader's satisfaction or recommendation score, surfacing the specific articles, sections, or frustrations that closed questions miss.

Measures how satisfied readers are with your publication's accuracy, depth, timeliness, and relevance, and which content types they value most. An AI follow-up interview digs into the reasoning behind each reader's satisfaction rating so editorial and product teams know what to fix or double down on.

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.