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Okendo integration

Okendo in Polar: reviews that move revenue, not just ratings.

Connect Okendo with a custom connector and your reviews, ratings and UGC flow into Polar, blended with Shopify orders. See which products and reviews actually lift conversion and repeat purchase, instead of a star average sitting in a widget.

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Connect Okendo See the setup
Google Sheets → Polar

What you can bring in

Ratings by product
"Which products are loved, and do they sell?"
Average rating and review volume per product, blended with revenue.
rating × revenue
Reviews vs conversion
"Do reviews actually lift CVR?"
Review presence and rating read against conversion rate, per product.
reviews -> CVR
Reviews vs repeat
"Do reviewers come back?"
Ratings and reviews tied to repeat purchase and LTV.
reviews -> repeat
Sentiment drivers
"What are people saying?"
Themes and tags in reviews, blended with the products they're about.
themes + products
UGC value
"Is our review program worth it?"
Review volume and quality against the revenue of reviewed products.
program ROI
Query over MCP
"Can an AI reason on it?"
Governed reviews available over the Polar MCP, sourced.
MCP-ready

Okendo shows ratings. Polar shows what they're worth.

Okendo reports stars and review counts in a widget, apart from your orders, conversion and repeat purchase. So you never really know which reviews move money. Polar blends them with revenue and finds out.

Okendo on its own

  • Ratings and reviews sit in a widget, apart from revenue.
  • No link between a rating and conversion or repeat.
  • Sentiment lives in text no one aggregates against sales.
  • Program value is a guess.

Okendo with Polar

  • Reviews ingested and blended with Shopify orders.
  • Ratings read against conversion and repeat purchase, per product.
  • Sentiment themes tied to the products they describe.
  • Review-program value measured against real revenue.
Setup Guide

Bring Okendo into Polar.

01 · What you need
Polar

A Polar account with Shopify

A Polar account with Shopify connected. This connector plugs in right next to your stack.

Connect your data →
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A Okendo account

API access to your reviews, ratings and product feedback so the AI data engineer can build a custom connector.

Open Okendo →

The AI data engineer

Reviews are ingested via a custom connector and mapped into your semantic layer, blended with orders.

02 · Bring Okendo into Polar
1

Connect with a custom connector talk to Polar

Reviews, ratings, UGC.
The AI data engineer builds a custom connector to Okendo over its API, ingesting reviews, ratings and product feedback.
2

Blend with orders built for you

Ratings meet revenue.
Reviews resolve into your semantic layer next to Shopify orders, so ratings read against conversion and repeat purchase, per product.
3

See what moves revenue the payoff

Not just a star average.
See which products and reviews actually lift conversion and repeat purchase, instead of a star average sitting in a widget.
Get started

Reviews, read against revenue.

Ingest your Okendo reviews and ratings with a custom connector and blend them with conversion and repeat purchase.

Book a demo Connect your data ↗
The Gap

The connector is only half of it.

Once your Okendo reviews and ratings are clean and attributed inside Polar, you can use them wherever you already work. Ask Polar in plain language, pull them live through the Polar MCP, or schedule a snapshot into the report your team reads every morning.
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Okendo

reviews, ratings, UGC
Polar

Polar

reviews tied to revenue

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Reviews, tied to revenue.

Reviews, tied to revenue

Every brand collects reviews and then lets them sit in a widget as a star average, disconnected from whether they actually sell anything. Okendo knows the ratings; it does not know your conversion rate, your repeat purchase, or your margin. Polar ingests your reviews and ratings with a custom connector and blends them into the same semantic layer as your Shopify orders, so a rating is no longer a vanity number, it is a signal you can read against conversion and repeat purchase per product. You can see which reviewed products actually convert better, whether reviewers come back, and which sentiment themes track with revenue, so your review program is finally measured in money, not stars.

What makes it real

Ratings to revenue. Reviews blended with orders, so ratings read against conversion and repeat purchase.

Per product. See which products' reviews move money, not a blended star average.

Ask Polar, in plain language. “Do products with more reviews convert and repeat better?” No SQL, no export.

See how reviews read against revenue
Other Use Cases

Other use cases

Use case 01

Placeholder

Placeholder. The use case skill fills this. (rung: see it)

See the use case › Use case 02

Placeholder

Placeholder. The use case skill fills this. (rung: report it)

See the use case › Use case 03

Placeholder

Placeholder. The use case skill fills this. (rung: analyze it)

See the use case › Use case 04

Placeholder

Placeholder. The use case skill fills this. (rung: decide from it)

See the use case › Use case 05

Placeholder

Placeholder. The use case skill fills this. (rung: act on it)

See the use case ›
Your Prompt Library

Okendo in plain language

A scannable wall of sample prompts for your Okendo data inside Polar. Ask Polar, or Claude with the Polar MCP connected.
See it
Show average rating and review volume by product.
Break down reviews collected this month.
List my highest-rated products.
Analyze it
Do products with more reviews convert better?
Show repeat purchase rate for reviewers vs non-reviewers.
Which review themes track with higher revenue?
Decide from it
Which products should we push reviews on for the most lift?
Is the review program worth its cost, on revenue?
Summarize how reviews and conversion moved together since last month.
Get started · connect once · reviews in revenue

Reviews that move revenue.

Ingest your Okendo reviews with a custom connector and read ratings against conversion and repeat purchase, per product.

Get started by booking a demo Connect your data in Polar
Phase 1 talk to PolarConnect OkendoThe AI data engineer builds a custom connector to your reviews.
Phase 2 built for youBlend with ordersRatings resolve into the semantic layer next to revenue.
Phase 3 the payoffSee what moves revenueConversion and repeat by rating, per product.