Smile.io
Smile.io integration

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

Connect Smile.io through the AI Data Engineer 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.

/
Smile.io → Polar

What Smile.io loyalty is actually worth, in revenue.

Members versus non-members, tier value, redemptions and referrals from Smile.io read against revenue and margin, so programme ROI is a number instead of a belief.
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
Setup Guide

How to Connect Smile.io to Polar.

Polar

A Polar account with Shopify

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

Connect your data →
Smile.io

A Smile.io account

API access to your points, tiers and redemptions so the AI Data Engineer can build the connector.

Open Smile.io →

Polar's AI Data Engineer

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

1

Ask the AI Data Engineer for Smile.io ~ minutes

Plain language, no code.
Describe what you need from Smile.io in plain language. Polar's AI Data Engineer reads the Smile.io API, writes the connector and pipes the data into your warehouse as governed data, in minutes. No code.
2

Blend with retention automatic

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 the connector and blend them with LTV and retention.

Side by side

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

Smile.io on its ownon its own

Smile.io+

Smile.io with Polarblended

Points and tiers sit in a dashboard, apart from revenue.
Points, tiers and redemptions ingested and blended with orders.
No link between membership and repeat or LTV.
Members vs non-members compared on repeat and LTV.
Redemptions counted as points, not revenue.
Redemptions read against incremental revenue.
Program value is a guess.
Program value measured against real retention.
The Gap

The Smile.io 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.
Smile.io

Smile.io

points, tiers, redemptions
Polar

Polar

loyalty tied to LTV

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Smile.io 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.

Members vs non-members

Against revenue

Repeat rate and LTV compared, so you know if membership changes behaviour. Rewards read against incremental revenue, not just points spent.

Ask Polar, in plain language

No SQL

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

Your Prompt Library

15 prompts a connected Smile.io unlocks.

Members against non-members, tier value, whether redemptions are incremental, and cost per retained customer.
Type
Audience
15 of 15
Get started · connect once · loyalty in LTV

Loyalty, measured in repeat.

Ingest your Smile.io points, tiers and redemptions through the AI Data Engineer and read them against repeat purchase and LTV.

Phase 1 plain languageConnect Smile.ioThe AI data engineer writes the 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.