Best for
- B2B teams that need stronger ad angles grounded in customer pain
- Paid media managers tired of generic benefit-led creative
- Product marketers looking for real language behind objections and confusion
Mine customer pain, objections, feature confusion, and success language from support tickets, then turn the patterns into paid social creative briefs.
A set of paid social creative briefs based on real customer language, support patterns, and buyer pain instead of internal brainstorming.
Quick view
Check the audience, core tools, and access before you start the detailed steps.
Best for
Core tools
6 tools used across the workflow.
Access
Preview the open steps, then unlock the remaining implementation details and prompts.
Why this works
Support tickets reveal what customers actually struggle to understand, value, fix, or ask about. Those patterns often contain better ad angles than internal brainstorming because they come from real friction. This workflow turns support language into creative briefs while adding review steps so sensitive details, private data, and one-off complaints do not leak into ads.
Expected results
Creative briefs produced
3-5 briefs
A support sample usually produces many themes, but only a few will be safe, common, commercially relevant, and worth testing.
Creative variations
9-25 variations
Creating 3-5 variants per angle gives enough test coverage without overwhelming the paid media workflow.
Planning time saved
4-6 hours per cycle
AI clustering and brief generation reduce manual ticket review, brainstorming, and first-draft creative strategy work.
Message relevance
Customer-language backed
The creative angles come from recurring customer questions and pains, not internal assumptions alone.
Step-by-step workflow
The first 3 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.
45-60 min
45-60 min
Export 100-300 recent support tickets from Zendesk for a specific product area, feature, or customer segment. Remove names, emails, company details, account IDs, payment details, and any sensitive information before using the data for creative research. Save the cleaned sample in Airtable with source date and product area.
A cleaned support ticket sample ready for pattern analysis.
Never paste raw support data into an AI tool without redaction. The workflow needs customer language patterns, not private customer information.
30-45 min
30-45 min
Use Claude to cluster the cleaned tickets into recurring themes: confusion points, repeated questions, pain before purchase, pain after purchase, feature misunderstandings, workflow blockers, integration issues, and moments of delight. Ask for theme strength and example language, but do not use identifiable quotes.
A theme map of customer pains, objections, questions, and success language.
Separate customer confusion from product weakness. Confusion can become educational ad creative, while true product gaps may need product or onboarding fixes first.
Analyze these cleaned support ticket excerpts for paid social creative insights.
Cleaned ticket data:
{{cleaned_ticket_data}}
Product area:
{{product_area}}
Campaign goal:
{{campaign_goal}}
Output:
1. Recurring pain themes
2. Common confusion points
3. Objections or concerns
4. Workflow blockers
5. Positive outcomes or delight moments
6. Customer language patterns to mirror safely
7. Themes that should not be used in ads
8. Strength score for each theme
Do not include private details. Paraphrase customer language when needed.30 min
30 min
Review the theme map and pick 3-5 ad angles that are safe, common, and commercially relevant. Avoid one-off complaints, sensitive topics, or issues the product does not actually solve. Add the selected angles to Airtable with audience, pain, promise, proof needed, and risk notes.
A prioritized list of support-backed paid social angles.
A frequent support theme is not automatically a good ad angle. It must connect to a buyer pain, a credible promise, and a landing page that can support the claim.
Pro workflow preview
Previewing 3 of 7 steps
Get the remaining 4 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and ongoing workflow and prompt releases.
$9/month
Prioritize these support-ticket themes into paid social ad angles.
Theme map:
{{theme_map}}
Target audience:
{{target_audience}}
Offer or landing page:
{{offer_or_landing_page}}
For each recommended angle, output:
1. Angle name
2. Buyer pain
3. Ad promise
4. Proof needed
5. Suggested format
6. Risk or sensitivity notes
7. Why this angle is worth testing
Reject themes that are unsafe, too narrow, or unsupported by the product.Related workflows
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