Data Panda brings your Yotpo data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
Yotpo started in Tel Aviv in 2011 around a single problem: brands had no easy way to ask buyers for reviews after a purchase. It grew into an ecommerce retention platform with a Reviews and UGC module, a Loyalty and Referrals programme, and tight Shopify, BigCommerce and Salesforce Commerce Cloud integrations. The company reports thousands of paying brands.
In 2025 Yotpo refocused. The native SMS, Email and Subscriptions products were retired and the customer base moved to Attentive and Recharge, leaving Reviews and Loyalty as the two products the platform invests in. The point of pulling it into a warehouse is that those two products generate the signal a brand needs for retention work: who left a four-star review and never came back, which loyalty tier is paying back its discount, which referral source brings in customers who order a second time. That picture lives outside Yotpo by definition, next to Shopify orders, Klaviyo flows and Stripe revenue.
Reviews, points and redemptions next to the orders they drove.
Trigger Yotpo on what the rest of the stack already saw.
Use review and loyalty history to score what the next campaign should do.
Internal tools on Yotpo data for teams that do not live in the Yotpo UI.
A list of concrete reports, automations and AI features we have built on Yotpo data. Pick the one that matches your situation.
Which loyalty tier is paying back its discount?
Margin per member per tier, after returns and after the cost of the tier benefit, against the same metric for non-members in the same cohort. Splits the tier whose members order a fourth time at full margin from the tier whose members buy once on the welcome bonus and disappear.
Which products are quietly being unmasked by their reviews?
Average review score and topic mix per product against return rate and second-order rate, on one timeline. Surfaces the SKU whose star rating is fine but whose recent comments are about sizing or breakage, before the return rate climbs.
What is our outstanding points liability against revenue from members?
Points issued, points redeemed, points expired and outstanding points value against the gross revenue of points members in the same period. Turns a number that finance currently treats as a vague liability into a margin number it can defend.
Points liability and tier-benefit cost in the same picture as repeat-purchase margin per member. The loyalty programme stops being defended on members signed up and starts being defended on margin per retained customer.
Review sentiment and tier behaviour per product line, in sync with merchandising. The team sees which collections build repeat buyers and which collections collect five-star reviews on a SKU that gets returned twice.
Review collection rate, response time on negative reviews and points-issuance throughput over twelve months. Programme health is monitored as a trend, not rediscovered the day a tier breaks.
Shopify orders, refunds and customer history push into Yotpo as profile attributes and points events with margin and last-order date attached. Tier upgrades, multipliers and review requests run on real second-order behaviour instead of a Shopify tag set someone last touched a year ago.
Loyalty tier, points balance, last-redemption date and last-review date push into Klaviyo as profile properties and metric events. Klaviyo runs the email and SMS layer with full retention context attached, so a tier-renewal flow does not fire on a member who already cancelled, and a review-request flow does not chase a buyer who already left one.
BigCommerce orders, customers and refund events flow into Yotpo as the basis for points accrual, tier movement and review eligibility. Multi-store BigCommerce setups land in one Yotpo loyalty view per brand without a manual export between platforms each month.
Loyalty tier, points balance and recent review activity from Yotpo land in HubSpot as contact properties. Service agents see the tier and the last review before they pick up the ticket, and sales sees a wholesale lead with a documented retail loyalty history attached.
You keep the reporting tool you already have. We connect it to the warehouse where your Yotpo data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
Yes. Each Yotpo account lands in its own schema, with a shared customer and product dimension on top. Holding groups and multi-brand operations get per-brand isolation and a deduped customer view at group level, without merging loyalty member lists by hand.
The connector covers Reviews and Loyalty, which are the two products Yotpo still ships. Brands that moved their SMS and email to Attentive or Klaviyo and their subscriptions to Recharge or Stay.ai keep getting the new platform connected separately, and Yotpo loyalty and review state lands in the same warehouse so attribution still joins up.
We review your Yotpo setup and the systems around it. Together we pick the first thing worth building.