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Smile.io integration

Smile.io in Polar: does the loyalty program actually drive repeat?

Connect Smile.io with a custom connector and your points, tiers, redemptions and referrals flow into Polar, blended with Shopify orders and retention. See whether loyalty members actually spend more and come back, instead of a points balance no one ties to revenue.

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Connect Smile.io See the setup
Google Sheets → Polar

What you can bring in

Members vs non-members
"Do members spend more?"
Repeat rate and LTV for loyalty members vs everyone else.
members × LTV
Tier value
"Are the top tiers worth it?"
Revenue and retention by loyalty tier, blended with orders.
by tier
Redemptions vs revenue
"Do rewards drive sales or just discount?"
Redemptions read against incremental revenue, not just points spent.
redemptions -> revenue
Referrals
"Do referrals bring good customers?"
Referral-sourced customers tied to LTV and repeat purchase.
referral -> LTV
Program ROI
"Is loyalty paying off?"
Loyalty costs against the retention and revenue it actually drives.
program ROI
Query over MCP
"Can an AI reason on it?"
Governed loyalty metrics over the Polar MCP, sourced.
MCP-ready

Smile.io tracks points. Polar tracks repeat.

Smile.io shows points, tiers and redemptions in its own dashboard, apart from your orders, cohorts and LTV. So whether the program actually drives repeat, or just discounts loyal customers, stays a guess. Polar answers it.

Smile.io on its own

  • Points and tiers sit in a dashboard, apart from revenue.
  • No link between membership and repeat or LTV.
  • Redemptions counted as points, not revenue.
  • Program value is a guess.

Smile.io with Polar

  • Points, tiers and redemptions ingested and blended with orders.
  • Members vs non-members compared on repeat and LTV.
  • Redemptions read against incremental revenue.
  • Program value measured against real retention.
Setup Guide

Bring Smile.io 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 Smile.io account

API access to your points, tiers and redemptions so the AI data engineer can build a custom connector.

Open Smile.io →

The AI data engineer

Loyalty data is ingested via a custom connector and mapped into your semantic layer, blended with retention.

02 · Bring Smile.io into Polar
1

Connect with a custom connector talk to Polar

Points, tiers, redemptions.
The AI data engineer builds a custom connector to Smile.io, ingesting points, tiers, redemptions and referrals.
2

Blend with retention built for you

Members meet LTV.
Loyalty data resolves into your semantic layer next to Shopify orders and cohorts, so membership reads against repeat purchase and LTV.
3

See if it works the payoff

Repeat, not points.
See whether members actually spend more and come back, and whether redemptions drive incremental revenue or just discount what you'd have earned anyway.
Get started

Loyalty, measured in repeat.

Ingest your Smile.io points, tiers and redemptions with a custom connector and blend them with LTV and retention.

Book a demo Connect your data ↗
The Gap

The connector is only half of it.

Once your Smile.io points, tiers and redemptions 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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Smile.io

points, tiers, redemptions
Polar

Polar

loyalty tied to LTV

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Loyalty, measured in repeat.

Loyalty, measured in repeat

Loyalty programs are easy to launch and hard to justify, because the platform tells you how many points were issued, not whether any of it made customers come back. Smile.io knows the points; it does not know your repeat rate, your cohort LTV, or whether a redemption drove an order that would not have happened anyway. Polar ingests your loyalty data with a custom connector and blends it into the same semantic layer as your Shopify orders and cohorts, so you can compare members to non-members on repeat and LTV, see which tiers actually earn their keep, and read redemptions against incremental revenue. The program stops being a cost you hope works and becomes a lever you can measure.

What makes it real

Members vs non-members. Repeat rate and LTV compared, so you know if membership changes behaviour.

Redemptions to revenue. Rewards read against incremental revenue, not just points spent.

Ask Polar, in plain language. “Do loyalty members repeat more, and what's their LTV vs non-members?” No SQL, no export.

See how loyalty reads against LTV
Other Use Cases

Other use cases

Use case 01

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

See the use case › Use case 02

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

See the use case › Use case 03

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

See the use case › Use case 04

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

See the use case › Use case 05

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

See the use case ›
Your Prompt Library

Smile.io in plain language

A scannable wall of sample prompts for your Smile.io data inside Polar. Ask Polar, or Claude with the Polar MCP connected.
See it
Show loyalty members vs non-members this month.
Break down revenue by loyalty tier.
Show redemptions this month.
Analyze it
Do loyalty members have higher repeat rate and LTV?
Which tiers drive the most incremental revenue?
Are redemptions incremental or just discounting loyal buyers?
Decide from it
Is the loyalty program worth its cost, on retention?
Which tier deserves more investment based on LTV?
Summarize how membership and repeat moved since last month.
Get started · connect once · loyalty in LTV

Loyalty, measured in repeat.

Ingest your Smile.io points, tiers and redemptions with a custom connector and read them against repeat purchase and LTV.

Get started by booking a demo Connect your data in Polar
Phase 1 talk to PolarConnect Smile.ioThe AI data engineer builds a custom connector to your loyalty data.
Phase 2 built for youBlend with retentionPoints and tiers resolve into the semantic layer next to LTV.
Phase 3 the payoffSee if it worksMembers vs non-members on repeat and LTV.