AI software · Zigpoll
Promote Zigpoll
Zigpoll
No-code post-purchase surveys and polls that turn shopper feedback into attribution and conversion lift.
Partner summary
The offer at a glance
A quick read on buyer fit, pitch, economics, and promotion fit.
Best buyer
Shopify ecommerce operators
Main outcome
50 percent average response rate, described as 10x the industry standard.
Commission
To be confirmed
Best channels
Affiliate Content, Newsletter, Review Sites, Ecommerce Communities
Terms
Zigpoll is positioned around zero-party data
Main pitch
Zigpoll is the no-code survey and feedback layer for Shopify and DTC brands that need real attribution and conversion insight after iOS 14. Stores go live in 5 minutes, see...
Economics
Partner terms
Commission, pricing model, and review timing for this listing.
Commercial terms
Partner terms
Founder confirmation required before partners promote this listing.
- Commission
- To be confirmed
- Pricing
- Subscription
- Duration
- —
- Review period
- 30 days
Pricing tiers
Lite
Primary$0.00/ monthly
Tracks Signup
- 100 responses per month
- 100 emails per month
- Flexible question formats
- Custom style any survey
- 100 synthetic responses
Standard
$29.00/ monthly
Tracks Paid Subscription
- 500 responses per month
- 2,500 emails per month
- Automatic AI insights
- White label support
- Unlimited surveys
Advanced
$97.00/ monthly
Tracks Paid Subscription
- 2,000 responses per month
- 10,000 emails per month
- Automatic AI insights
- White label support
- Unlimited surveys
Ultimate
$194/ monthly
Tracks Paid Subscription
- Unlimited responses per month
- 10,000 emails per month
- Automatic AI insights
- White label support
- Unlimited surveys
Who this converts for
The buyers this offer is shaped for. Match your reach to the strongest audience fit.
Shopify ecommerce operators
DTC and Shopify Plus brands running paid acquisition who need post-purchase attribution and conversion insights without engineering work.
Pain points
- Marketing attribution broken after iOS 14 and third-party cookie loss
- Low response rates on traditional survey tools
- Unable to validate which colors, SKUs, or features customers actually want before investing
- Difficulty separating influencer, PR, and paid channel impact
- Broken multi-touch attribution after iOS 14 and cookie deprecation
- No first-party demand signal before launching new SKUs or features
- Surveys not natively triggered by Shopify or Klaviyo events
- Hours spent slicing survey data manually
Desired outcomes
- See which channels actually drive purchases
- Lift on-site conversion by fixing friction surfaced in open-ended responses
- Launch new SKUs and variants with first-party demand signal
- Build Klaviyo segments from survey data
- Self-reported attribution baked into post-purchase flow
- Higher conversion via friction surfaced through on-site surveys
- Confident SKU and feature launches backed by customer demand data
- Automated AI summaries of survey results
- Survey data queryable from Claude and ChatGPT
Media and publisher teams
Editorial, podcast, and creator teams that want to learn what content their audience cares about and build richer reader profiles.
Pain points
- Hard to know which content topics resonate before producing them
- Limited demographic data to share with sponsors
- Static FAQs and comment threads do not surface real sentiment
Desired outcomes
- Capture reader sentiment and demographics in-line
- Crowdsource ideas and Q&A from the audience
- Build sponsorship-ready audience profiles
SaaS product and growth teams
Product, growth, and design teams at software companies who need lightweight in-app feedback, qualification, and roadmap voting.
Pain points
- Slow, expensive panels for validating features and copy
- No structured way to qualify leads inside product flows
- Roadmap prioritization without clear user signal
Desired outcomes
- Measure satisfaction after feature releases
- Qualify and route high-intent leads
- Prioritize roadmap with user voting and waitlists
CRO and ecommerce agencies
Growth and CRO agencies that run surveys for client brands to improve attribution and conversion rates.
Pain points
- Need a reusable survey toolkit across client accounts
- Want white-label branding and multi-store support
- Reporting attribution lift to clients across channels
Desired outcomes
- Standardize a survey playbook across clients
- Deliver measurable conversion or attribution lift
- Add a recurring revenue line via surveys
Help me capture zero-party data from my customers, attribute revenue across channels, and surface actionable insights without engineering work
Help me capture zero-party data from my customers, attribute revenue across channels, and surface actionable insights without engineering work.
including agencies serving these brands
Help me capture zero-party data from my customers, attribute revenue across channels, and surface actionable insights without engineering work.
Why partners convert here
When to pitch this, and the outcomes the buyer actually gets.
Use cases
- Post-purchase attribution surveys
- Post-purchase attribution surveys
- On-site exit intent and conversion surveys
- On-site exit intent and conversion surveys
- Product and SKU validation
- Product and SKU validation
- Email capture and zero-party data growth
- Email capture and zero-party data growth
- Synthetic market research
- Synthetic market research
- AI insights via MCP for customer data
- AI insights via MCP for customer data
Outcomes
Self-reported attribution baked into post-purchase flow
Higher conversion via friction surfaced through on-site surveys
Confident SKU and feature launches backed by customer demand data
Automated AI summaries of survey results
Survey data queryable from Claude and ChatGPT
50 percent average response rate
EvidenceUsed by 20,000+ companies
Evidence500+ 5-star reviews
EvidenceManucurist scaled SKUs with survey data
EvidenceGAÂLA Paris exit intent surveys
EvidenceBlikket CRO agency lift
EvidenceKanga Coolers attribution insight
EvidenceBefore · After
Post-purchase attribution surveys
Before
Attribution data is fragmented after iOS 14 and cookie loss; paid dashboards do not show offline, PR, or influencer impact.
After
A no-code post-purchase survey with branching follow-up questions feeds clean self-reported attribution into Zigpoll analytics and Klaviyo.
Expected outcome: Clearer channel mix decisions and reduced wasted ad spend.
What makes this different
Where this offer beats the alternatives.
Ecommerce-native triggers (Shopify, Klaviyo) out of the box
AI insights and Z-GPT built into the dashboard
MCP server for querying responses from Claude and ChatGPT
Synthetic Market Research to validate surveys pre-launch
Multi-language support across 94+ languages
Promotion strategy
Partner playbook
Angles, questions, objections, and inputs to keep outreach sharp.
Value proposition
No-code post-purchase surveys and polls that turn shopper feedback into attribution and conversion lift.
How to pitch
Zigpoll is the no-code survey and feedback layer for Shopify and DTC brands that need real attribution and conversion insight after iOS 14. Stores go live in 5 minutes, see roughly 50 percent response rates, and let AI surface patterns across post-purchase, exit intent, and email capture surveys.
Positioning
Zero-party data and attribution survey platform purpose-built for ecommerce, with AI insights and an MCP server that exposes survey data to Claude and ChatGPT.
Best angles to test
- Replace Typeform or Fairing with an ecommerce-native survey tool
- Fix iOS 14 attribution with self-reported post-purchase surveys
- Validate new SKUs and feature launches with first-party demand data
- Plug zero-party survey data into Klaviyo segments and flows
- Query customer feedback from Claude or ChatGPT via MCP
- No-code post-purchase surveys for Shopify, BigCommerce, and WordPress
- Go live in roughly 5 minutes with the Shopify app or embed code
- AI-powered insights and Z-GPT included in the dashboard
- Integrations with Klaviyo, Shopify Flow, Gorgias, Zapier, Make, n8n, and Google Sheets
- MCP server connects survey data to Claude and ChatGPT
- Synthetic Market Research generates AI audiences in 94+ languages
Angles to avoid
- Do not claim guaranteed revenue uplift
- Do not claim results are typical
- Do not claim official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not invent specific customer metrics not present on the Zigpoll site
- Do not claim Zigpoll replaces a specific competitor by name without founder approval
Discovery questions
- How are you currently attributing revenue across channels?
- Which survey or feedback tools have you tried before?
- Are you on Shopify, BigCommerce, WordPress, or something custom?
- Do you already use Klaviyo, Gorgias, or Shopify Flow?
- What is the most important decision you would make with better customer feedback this quarter?
Disqualifiers
- Enterprise market research programs that require regulated panels
- or organizations that need offline-only or paper-based surveys with no web presence.
Target keywords
Objections & responses
“We already have a survey tool like Typeform or SurveyMonkey.”
Response: Zigpoll is purpose-built for ecommerce: post-purchase triggers, Shopify and Klaviyo integration, multilingual support, and AI insights designed for attribution and conversion work rather than general forms. The site lists migration paths from Typeform, Fairing, Sprig, Hotjar, SurveyMonkey, and Qualtrics.
“Response rates on survey tools are too low to act on.”
Response: Zigpoll publishes a 50 percent average response rate on its surveys, attributed to native placement, branching logic, and incentive options. Treat as a marketing benchmark, not a guarantee.
“We have no developer to install another tool.”
Response: Zigpoll uses a one-click Shopify install or a simple embed snippet and ships with proven templates so most stores go live in around 5 minutes.
“We do not trust AI-generated synthetic audiences.”
Response: Synthetic Market Research is positioned for pre-launch QA: validating wording, branching, and dashboards before sending to real customers; real respondents still feed final insights.
“Privacy and compliance concerns around customer data.”
Response: Zigpoll positions itself around zero-party data with consent-based collection and references DPA and PCI compliance pages on the site.
Rules
Promotion rules
Where you can promote, what is restricted, and what the founder requires.
Allowed channels
Restricted channels
- AI-generated content
- Yes
- Content reuse
- No
- Founder approval
- Yes
Approved claims
- No-code post-purchase surveys for Shopify, BigCommerce, and WordPress
- Go live in roughly 5 minutes with the Shopify app or embed code
- AI-powered insights and Z-GPT included in the dashboard
- Integrations with Klaviyo, Shopify Flow, Gorgias, Zapier, Make, n8n, and Google Sheets
- MCP server connects survey data to Claude and ChatGPT
- Synthetic Market Research generates AI audiences in 94+ languages
Claims to avoid
- Do not claim guaranteed revenue uplift
- Do not claim results are typical
- Do not claim official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not invent specific customer metrics not present on the Zigpoll site
- Do not claim Zigpoll replaces a specific competitor by name without founder approval
Compliance notes
- Zigpoll is positioned around zero-party data
- partners should respect privacy framing and avoid claims about Stripe-verified payouts, managed checkout, or guaranteed results that are not on the public site.
Evidence
Proof & trust signals
Claims, evidence links, and operational trust signals partners can lean on.
Proof points
- average_response_rate: 50 percent
- time_to_first_survey_minutes: 5 minutes
- customer_count: 20,000 companies
- five_star_reviews: 500 reviews
- Self-reported attribution baked into post-purchase flow
- Higher conversion via friction surfaced through on-site surveys
- Confident SKU and feature launches backed by customer demand data
- Automated AI summaries of survey results
- Survey data queryable from Claude and ChatGPT
- Used by 20,000+ companies
- 500+ 5-star reviews
- Manucurist scaled SKUs with survey data
- GAÂLA Paris exit intent surveys
- Blikket CRO agency lift
- Kanga Coolers attribution insight
Proof links
- Zigpoll homepage
Primary marketing site with product overview, onboarding flow, and case studies.
- Zigpoll logo mark
Logo candidate sourced from the public favicon set.
- Zigpoll social share image
Open Graph share image used by Zigpoll across pages.
About Zigpoll
Zigpoll is a survey and feedback platform that helps ecommerce merchants, publishers, and SaaS teams collect zero-party data via post-purchase surveys, email capture campaigns, and on-site polls. Customers install via a one-click Shopify app or embed code, choose from proven templates or build custom flows with branching logic, and let AI analyze responses to surface attribution, conversion, and product insights. Synthetic Market Research generates AI audiences for testing surveys before launch, and an MCP server lets teams query response data from Claude, ChatGPT, and other AI assistants.
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Listing transparency
Company activation will confirm the remaining commercial and tracking details.
