Evaluator Agent

Ad Creative Testing Survey Template

Your ad testing form kills insights. Perfect for SaaS marketing teams running A/B tests on ad creatives. The survey automatically adjusts questions based on respondent demographics, campaign exposure, and initial feedback to uncover which elements drive conversions.

Deeper feedback
90% completion
Actionable insights
Used 2,434+ times
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What's inside this template

Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.

Questions it always asks

The core fields every response captures.

  • What is your role in software purchasing decisions at your company?

  • Which ad version would you be most likely to click on?

How it adapts

Follow-ups that change based on what people say.

  • If respondent rates ad appeal below 6/10, ask what specific elements are confusing or unappealing

  • If respondent is a decision-maker, ask about budget approval process and timeline

Where it routes people

Different paths for different answers.

  • Route negative feedback to detailed improvement questions

  • Route high-intent responses to conversion barrier analysis

Automations it can trigger

Actions that fire the moment a response comes in.

  • Send positive feedback responses to sales team in Salesforce

  • Tag respondents with high purchase intent in HubSpot

  • Update ad performance dashboard in Google Analytics

SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.

How this AI template works

Respondents first identify their role and company size, then view ad creatives and provide initial reactions. The AI asks targeted follow-ups about specific elements like messaging clarity, visual appeal, and purchase intent based on their segment.

Getting started

  1. 1

    Upload your ad creatives and define target audience segments

  2. 2

    Set screening criteria for qualified respondents

  3. 3

    Configure follow-up logic based on initial reactions

  4. 4

    Launch survey and monitor real-time feedback patterns

Template Details

Agent Type
Evaluator
Industries
SaaS / Tech
Roles
MarketingResearch
Integrations
Slack, Hubspot, Webhook
Times Used
2,434+

Forms collect fields. Conversations capture context.

Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.

The static form

yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"

No context. No follow-up. No next step.

  • Static rating scales tell you an ad scored 3/5 but not why. Marketing teams get surface-level feedback that doesn't explain whether the messaging, visuals, or call-to-action caused the poor rating, making creative optimization guesswork.
  • Testing multiple ad variations with rigid forms creates respondent fatigue and high abandonment. Lengthy forms with repetitive questions about different creatives produce incomplete data sets that compromise campaign decision confidence.
  • Generic survey templates can't probe deeper when respondents give unexpected reactions to ad elements. Marketing teams miss critical context about emotional responses, brand perception, and competitive differentiation that drive real-world performance.

The AI conversation

"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"

Extracted & structured automatically

Category

High-priority

Urgency

Deadline: 2 weeks

Sentiment

Frustrated but hopeful

Next step

Route to senior team

Triggered: Slack alert sent| CRM updated

Right team. Full context. Instant action.

  • AI conversations ask follow-up questions when someone rates an ad poorly, uncovering specific issues with messaging clarity, visual hierarchy, or emotional resonance. Marketing teams get actionable feedback that directly informs creative iterations and budget allocation.
  • Conversational flows adapt to each respondent's engagement level and interests, maintaining attention across multiple creative variations. Teams achieve 90% completion rates and larger sample sizes for statistically confident creative decisions.
  • Dynamic conversations explore unexpected reactions in real-time, diving deeper into emotional responses and competitive positioning insights. Marketing teams discover which specific creative elements drive engagement and purchase intent.

What makes ad creative testing actually predict campaign performance?

Effective ad creative testing captures both emotional reactions and rational responses to specific creative elements. The best approaches go beyond simple rating scales to explore why certain visuals grab attention, how messaging aligns with brand expectations, and what motivates desired actions. Testing must examine creative performance across different audience segments while maintaining respondent engagement. Dynamic questioning that adapts based on initial reactions provides the depth needed to predict real-world campaign performance and inform optimization strategies.

FAQ

Frequently Asked Questions

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Forms are costing you business

Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.

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