Hazel reads your full Yotpo history (reviews, star ratings, reviewer details, visual UGC, and aggregate product ratings) and answers business questions in plain English. No dashboards to build.
May 23, 2026
Hazel is an AI coworker that connects to your Yotpo account and answers business questions about your reviews and loyalty data the way an analyst would. Once installed, Hazel ingests your full review history (star ratings, review text, timestamps, reviewer info, product-level aggregates, and any visual UGC attached) then refreshes every few hours. Ask Hazel about your top themes in 1-star reviews, how a product launch is being received, whether reviewers are asking for a new SKU, or how a Yotpo loyalty redemption email moved revenue, and you get an answer with the underlying reviews to back it up. For consumer brands on Yotpo, Hazel replaces the work of exporting review CSVs, building Reviews Atlas filters, and reading through thousands of comments by hand, and it pairs your Yotpo data with Shopify, your ad platforms, and your email so you can correlate review sentiment with sales, returns, and repeat purchase rates in a single prompt.
Hazel reads the Yotpo data that matters for analyzing a consumer brand and lets you query it conversationally:
Hazel keeps the full historical record, so YoY rating shifts and theme drift across years are one prompt.
Common questions consumer brands ask about their Yotpo data:
"Top themes in our 1-star reviews YTD, broken out by site vs. product reviews, with example quotes for each theme."
"Pull YTD review count and YTD average rating, comp it YoY to the same window last year, and call out the categories with the biggest moves."
"What product has the lowest review score this quarter, and what's the dominant complaint theme behind it?"
"Pull a short positive review for our focus SKU that mentions a specific outcome. I need a quote for the PDP."
"Yotpo Loyalty: what's the points-redemption rate for subscribers vs. non-subscribers YTD?"
"Yotpo Loyalty: how impactful are Points Redemption Reminder emails on net revenue? Compare openers vs. non-openers, controlled for customer segment."
"Yotpo SMS: cross-reference SMS opt-in customers with their Yotpo review activity. Do SMS subscribers leave more reviews?"
"Pull all 1-star reviews from the last 60 days that mention shipping, fulfillment, or arrival. Tag each with the matching Shopify order ID so CX can follow up."
Connect Yotpo from the Hazel marketplace by pasting your Yotpo API token (utoken) and Store ID, both found in your Yotpo account settings. One-time setup, no developer required.
Full historical reviews with star ratings, review text, and timestamps. Aggregate product ratings. Reviewer info and review dates. Visual UGC (photos and videos) attached to reviews. Site reviews and product reviews are both ingested and stay queryable as separate or combined sets.
Roughly every 6 hours, automatically.
Hazel is most powerful when Yotpo runs alongside Shopify. With both connected, you can correlate review ratings with sales, returns, repeat purchase rate, and AOV, so questions like "do products with sub-4-star reviews have higher return rates" or "does a launch's first-month rating predict its 90-day repeat rate" are a single prompt.
API token (utoken) and Store ID from your Yotpo account. Hazel only reads your data; it never writes back to your Yotpo account.
Zapier, AgenticFlow, and MESA ship Yotpo MCP servers that wrap Yotpo's loyalty and referrals APIs for action-taking. Creating customers, triggering events, managing subscribers. Those are useful for in-app automation and writes.
Rather than connecting an LLM directly to Yotpo's API and writing the analysis logic yourself, Hazel ingests your full Yotpo review history into an analytical store, structures it for thematic and sentiment queries, joins it with your other sources (Shopify, ad platforms, email, subscriptions), and gives your team a single conversational interface for business questions. No MCP setup to manage, no per-prompt rate limits, no schema discovery on every query, and the same agent answers questions across every source you've connected, not just Yotpo.
If you specifically want MCP access to Hazel itself, that's available too. Ping us at https://calendly.com/clint-dunn/clint-hazel-intro.
Yotpo's own AI portfolio as of 2026 includes Reviews Atlas (in-Yotpo review insights and sentiment scoring), Tailor Campaigns (AI-recommended SMS and email content), Yotpo Discover (AI visibility. How your brand shows up in ChatGPT and Gemini), Yotpo Focus (Smart Filters and Review Highlights on PDPs), Smart Prompts (AI-suggested review questions for shoppers), and AI Review Summary (shopper-facing PDP summaries). All of those live inside Yotpo and serve Yotpo workflows. Shoppers on your site, campaigns in Yotpo's tools, brand visibility in AI search. Hazel sits outside Yotpo and answers cross-source business questions about the data. Different surface, complementary use. Reviews Atlas tells you what shoppers are saying inside Yotpo; Hazel tells you how what they're saying correlates with sales, returns, ad spend, and subscription behavior across your whole stack.
Yes. Connect Yotpo from the Hazel marketplace using your Yotpo API token (utoken) and Store ID. Setup takes a few minutes.
Reviews Atlas is Yotpo's native insights product for analyzing review content inside Yotpo. Hazel goes broader: it ingests your full Yotpo review history into an analytical store, joins it with your Shopify orders, ad spend, email engagement, and subscription data, and answers cross-source questions Reviews Atlas can't reach. Like whether low-rated products have higher return rates, or how a loyalty redemption email moved YoY revenue.
A Yotpo MCP gives an LLM live API access to Yotpo, mostly for write actions like creating customers or triggering events. Hazel ingests your Yotpo data into an analytical store, deduplicates and structures it for thematic queries, and answers business questions across Yotpo and every other source you've connected. You don't manage rate limits, schema, or per-prompt discovery.
Polar and Triple Whale are dashboard-first BI platforms. You pick a chart, you read the chart. Hazel is analyst-first: you ask a question, Hazel writes the analysis, quotes the underlying reviews, and joins across every connected source without you picking the join. If your team wants a Yotpo dashboard, use Polar or Triple Whale. If your team wants to ask any question about Yotpo data joined to Shopify, Klaviyo, Meta, and Recharge and get a written answer, use Hazel.
Hazel reads the review and rating side of Yotpo natively. For loyalty program impact analysis (points-redemption rate, loyalty tier correlation with review behavior) Hazel is strongest when paired with Shopify and your ESP, so you can attribute loyalty-driven revenue and measure the lift from Points Redemption Reminder emails end to end.
Roughly every 6 hours.
No. Hazel only reads. We never modify your reviews, ratings, or loyalty data.
Yes. Both are ingested. You can scope an analysis to one or the other, or pull them together with a clear split in the answer.
Yes. Every review is queryable. You can ask for short positive reviews mentioning a specific ingredient, the top 1-star themes by product, or a quotable line for a deck, and Hazel returns the underlying review text.
Book a call and we'll walk through your Yotpo data, the questions you want to answer, and what the rollout looks like.
Hazel helps your team uncover new revenue, catch problems early, and make smarter, faster decisions before you even know what to ask.