How Airsign Converted Existing Owners Into Subscribers

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Airsign sold customers a vacuum before it had a refill subscription.

Three months later, it launched recurring deliveries of the bags and filters every owner would eventually need. Instead of marketing broadly, it started with people who had already bought the machine. Airsign says approximately 30% of those customers subscribed.

Today:
We break down how Airsign turned existing owners into subscribers, show you how to use Shopify’s RFM analysis, explain why Meta’s audience breakdown matters and cover Amazon’s new price-history and auto-buy tools.

Today’s issue is presented by Brevo’s List Tax Calculator, which shows how much you may be paying to store contacts you rarely email.

Airsign sells a HEPA vacuum.

That vacuum requires two replacement products: disposable AirBags and HEPA filters.

When Airsign originally launched the vacuum, there was no subscription. Three months later, it introduced recurring deliveries of AirBags and filters.

That gave Airsign an obvious audience for the new offer: everyone who had already purchased the vacuum.

Airsign was not introducing an unrelated product to previous customers.

Every vacuum owner would eventually need new bags and filters to continue using the machine properly. The subscription simply automated that future purchase by delivering both products every six months.

Customers no longer have to remember when to replace the parts, find the correct products or place another order.

Customers buying the vacuum after the subscription launched could select it during their initial purchase.

Earlier customers never received that option because it did not exist when they bought the machine.

Airsign used Shopify to create a segment containing people who:

This produced a highly relevant audience. Every customer owned the product, would eventually need the replacements and had never been shown the easier way to buy them.

Airsign offered this segment a dedicated discount and contacted them with a message specific to what they already owned.

According to co-founder Alex Dashefsky, approximately 30% of the targeted customers subscribed.

The figure is self-reported in an Airsign case study published by Shopify, but the campaign structure is the useful part:

Vacuum owner + recurring need for bags and filters + no previous subscription offer = high-intent audience.

When you launch something designed for an existing product, begin with customers who already own that product.

If you launch coffee-pod subscriptions, start with customers who bought the machine.

If you launch refill pouches, start with customers who bought the reusable bottle.

If you launch replacement blades, start with customers who bought the razor.

Search your order history for the purchase that proves someone needs the new offer.

Then create a dedicated campaign explaining:

Airsign did not need to persuade these customers that they needed bags and filters.

Selling them the vacuum had already done that.

Here's a side-by-side using published pricing. Take a store with 25,000 contacts sending 40,000 emails a month - about four emails to each engaged subscriber.

On Klaviyo, which bills on active profiles stored, that store pays $400 a month.
On Brevo, which bills on emails sent, the same list and the same sends cost $46 a month.

That's $354 a month, or $4,248 a year, for exactly the same sending.

Where does the gap come from? At four emails each, 40,000 sends reach about 10,000 people. The other 15,000 are ghost contacts - profiles you pay to store but rarely email. On contact-based pricing, those ghosts cost this store roughly $3,000 a year on their own. That's the List Tax: money spent on storage, not sales.

And it keeps growing. Every popup signup and every one-time buyer adds to the bill, whether you email them again or not.

Enter your own contact count and monthly sends in the List Tax Calculator to see your version of this breakdown. Spending $1,000+ a month on Klaviyo? Share an invoice and get 50% off Brevo for your first three months.

See your breakdown

RFM groups customers by how recently they purchased, how often they purchase and how much they have spent.

Shopify calculates this automatically. Here is how to turn the report into three retention campaigns.

In Shopify, go to Analytics → Reports.

Select Customers, then open RFM customer analysis.

Click a group inside the report and select Preview segment.

Shopify opens the customer segment editor with the relevant RFM filter applied.

Create and save these three segments:

New customers: Move them toward a second purchase with product education, setup help and a recommendation that complements their first order.

At-risk customers: Bring valuable former customers back with new products, reminders based on their purchase history or a time-limited offer.

Champions: Give your best customers early access, referral rewards or review requests. Avoid training them to wait for discounts.

Review the report monthly.

The goal is to move New customers into Active, At-risk customers back into Loyal, and Champions into advocacy.

Shopify calculates the groups using your own order history, so the analysis reflects how customers buy from your store rather than an external benchmark.

Read Shopify’s official RFM guide.

Shopify launches Canvas for AI-assisted store design

Canvas lays every store page out in one visual workspace and lets merchants make direct edits or request store-wide changes through chat. It is rolling out in early access, but currently lacks support for third-party Theme Store themes, Markets, translations, Rollouts and app blocks.

DoorDash will collect eligible retail returns from customers’ doors

Dasher Returns lets shoppers pay $7.99 for an eligible order to be collected without a box or label and returned to the store. The service is live in selected US cities and is expected to expand nationwide in November, giving retailers another way to remove post-purchase friction.

Amazon’s deal event adds price history, alerts and automatic purchasing

Ahead of Prime Big Deal Days on October 6–7, shoppers can ask Alexa to monitor products, examine 365 days of pricing and automatically buy when a target price is reached. Brands competing during the event should assume customers can now judge the authenticity of a discount far more easily.

I’m not sure about the “surviving AI” bit.

But a founder who doesn’t know how to run ads themselves probably won’t survive owning an ecommerce business anyway.

This is useful. Without Audience Segment Breakdowns, a campaign can look profitable while mostly converting existing customers.

The segments must be configured correctly and update automatically. Otherwise, the breakdown can still mislead you.

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