Digital Marketing Channel Effectiveness & Ad Recall Survey
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In the last 30 days, which of these channels have you noticed marketing or advertising from (Replace with your brand name) on?
- Social media ads (e.g., Instagram, Facebook, TikTok)
- Search engine ads (e.g., Google, Bing)
- Email newsletters or promotions
- Display or banner ads on websites
- Influencer or creator posts
- Video ads (YouTube, streaming, TV)
- Text messages or app push notifications
Rank these channels by how much they influence your decision to consider or buy from a brand (most influential first).
- Social media ads
- Search engine ads
- Email newsletters or promotions
- Display or banner ads
- Influencer or creator posts
- Video ads (YouTube, streaming, TV)
- Text messages or push notifications
Thinking about the marketing you typically see across channels in general, how often does each statement apply?
- Feels relevant to my interests
- Feels trustworthy and honest
- Feels repetitive or annoying
- Is memorable enough to recall days later
When you see an ad from (Replace with your brand name) online, how likely are you to click on it or engage further?
Which of these marketing messages would most, and least, motivate you to learn more about a product?
- Limited-time discount or promotion
- New product features or innovation
- Customer reviews and testimonials
- Environmental or social responsibility story
- Behind-the-scenes brand story
- Comparison to competitors
- Free trial or money-back guarantee
If you were in charge of our marketing budget, how would you allocate 100 points across these channels based on where you'd want us to invest more?
- Social media ads
- Search engine ads
- Email marketing
- Video ads (YouTube/streaming)
- Influencer partnerships
- Content or blog marketing
Thinking of the last digital ad you noticed from us, what did you do next?
- Clicked through to the website
- Searched for more information later
- Made a purchase
- Followed or engaged with the brand's social account
- Ignored it
- Found it annoying and skipped or blocked it
How much do you trust the claims made in our digital ads and marketing content?
Reconstruct the single digital ad or marketing moment from us that the respondent remembers most clearly: what channel it was on, what it said or showed, and whether it changed what they thought or did. If they rated our ads as annoying or untrustworthy in the earlier questions, probe specifically what triggered that reaction and what change would fix it.
Which age range do you fall into?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Which gender do you identify with?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
That wraps up our questions — thank you! Your feedback goes directly into deciding which channels and messages we invest in next.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Includes a ranking exercise, max-diff message test, and a constant-sum budget allocation question so teams get relative channel priority and spend trade-offs, not just top-line awareness stats
- An AI follow-up interview reconstructs the specific ad or marketing moment that shaped a respondent's trust or annoyance — surfacing the 'why' that closed questions like the matrix and rating scales can't reach
- Combines a 30-day channel-noticing multiple choice, a trust rating, and a post-ad behavior question so you can connect exposure, sentiment, and action in one flow
- Captures age and gender demographics so channel effectiveness and trust patterns can be segmented
Jotform
Digital Marketing Survey Form TemplateA ready-to-field, drag-and-drop form for gathering general feedback on digital marketing efforts. It's built for quick deployment and customization rather than deep diagnostic insight into why a specific channel or ad moment worked. No mention of adaptive questioning or scoring.
What it does well
- Fast to deploy and widely customizable via Jotform's drag-and-drop builder
- Familiar, low-friction form format for respondents
- Easy to embed or share across marketing channels
Where it falls short
- Static question set with no adaptive AI follow-up to probe individual responses
- No voice interview option or guided screen-share tasks
- No automated per-response quality scoring or transparent prompt methodology
SurveySparrow
Digital Marketing Questionnaire Template | For CustomersA fielding-ready, conversational-style questionnaire aimed at customers, reflecting SurveySparrow's chat-like survey UX. It covers general marketing perception questions but relies on pre-set branching logic rather than true adaptive follow-up conversation.
What it does well
- Conversational, chat-style survey format that can feel more engaging than a standard form
- Purpose-built for customer-facing marketing feedback
- Supports standard logic/skip patterns for a smoother respondent experience
Where it falls short
- Branching logic is pre-scripted, not a genuine adaptive AI interview that reconstructs specific ad moments
- No voice AI interview or guided screen-share task capability
- No published automated quality scoring per response
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.