By using Shopify Flows to automatically tag shoppers based on their behaviour, you can build a layer of custom intelligence that flows directly into Instant AI’s segmentation, flow exclusions, and smart content rules. Shopify Flows is a native automation tool built into Shopify. It lets you trigger actions — including adding or removing customer tags — based on events in your store: purchases, order count, spend thresholds, product categories bought, and more. You don’t need to tag customers manually. Flows does it in real time as shoppers meet your criteria. Instant AI reads Shopify customer tags automatically, within 1 to 2 minutes of a tag being applied. Any tag you create in Shopify becomes immediately available as a filter in Instant AI.

Learn more about Shopify Flows

Six ways to use tagging strategically

1. The gift recipient who becomes a buyer

Tag: gifted-by-someone When a customer’s first order has a shipping address that differs from their billing address, there’s a good chance the purchase was a gift. Tag that shopper as gifted-by-someone. Their first self-purchase is one of the highest-intent moments in your entire customer base. It means they loved the product enough to come back and buy it for themselves. That moment deserves its own campaign — not a generic welcome flow, not a standard promo. The campaign writes itself: “Treating yourself this time?” Set up a Shopify Flow to apply the tag when billing address does not match shipping address on a first order. Then build a segment in Instant AI that targets gifted-by-someone shoppers who have since made a second purchase under their own details.

2. The shopper who only buys on sale

Tag: coupon-redeemer-only Some shoppers have never paid full price. They open your emails, they click your links — but they only convert when there’s a discount involved. The instinct is to keep sending them offers. That’s a trap. Tag this cohort with coupon-redeemer-only using a Shopify Flow that fires when every order a customer has placed includes a discount code. Then run a deliberate test: send them a campaign with no discount at all. Use social proof, product storytelling, and scarcity signals instead. Some will convert. That’s margin you were leaving on the table. The ones who don’t convert tell you something equally useful — they were never real customers, just discount hunters. Suppress them from future sends and protect your sender reputation.

3. Your founding-era customers

Tag: founder-era Your first few hundred customers are not like everyone else. They found you before the growth, before the press, before the ads. They took a chance on you. Most brands eventually stop treating them differently. They get lumped into the same segments as customers who bought last week. That’s a mistake. Use a Shopify Flow to tag any customer whose first order was placed before a specific date — your first 500 customers, your pre-launch cohort, whoever those people are for your brand. Tag them founder-era. Then build a completely separate campaign track for this segment. Founder notes. Behind-the-scenes content. First access to new products. Never a generic promo. The communication should feel like a letter to an old friend, not a broadcast to a list. The economics are obvious: your most loyal, highest-LTV customers deserve your most personal messaging. The cost of doing this is almost zero.

4. Lead scoring

Tags: score-hot, score-warm, score-cold Instead of treating all shoppers on your list as equals, assign each one a cumulative score based on their behaviour. Shopify Flows tallies the score and applies a bucket tag in real time. A simple scoring model might look like this:

Behaviour Points Why it matters
Made a purchase +10 Proven buyer
Second purchase +15 Repeat intent, your best signal
Order value over $150 +10 High-value shopper
Clicked an email +5 Engaged, even without buying
Referred someone +20 Advocacy, weight it highest
Only buys on sale -10 Discount-dependent margin risk
No purchase in 90 days -10 Cooling off, needs re-engagement

Shopify Flows writes a tag like score-hot, score-warm, or score-cold as shoppers move between thresholds. You decide what the thresholds mean for your business. A brand selling supplements might weight repurchase frequency heavily. A brand selling luxury goods might weight AOV and referrals. The model reflects what your business actually values. In Instant AI, use the tags like this:

  • score-hot — First access to new drops, no-discount campaigns, high-trust copy
  • score-warm — Social proof campaigns, soft urgency, second-purchase nudges
  • score-cold — Re-engagement campaign, and if they don’t respond, suppress entirely to protect deliverability

5. The shopper who signed up for your sale

Tag: sale-signup Big sales are where a lot of brands make their year. Father’s Day, Black Friday, a product drop — the shoppers who raise their hand before it starts are your warmest possible audience for that launch. They’ve told you they’re interested, and they’re waiting to hear from you. Capture that intent with a sign-up. When a shopper signs up for your upcoming sale, through a Shopify form or a password-protected pre-sale page, add a tag like sale-signup. Then trigger a custom flow off that tag to build anticipation, share the details, and tell them the moment the sale goes live. This one works a little differently to the tags above. The tag comes from a sign-up rather than shopping behaviour, and instead of filtering a flow it triggers one. Set up your Shopify form to apply the tag on submission, make sure that tag also grants email marketing consent (otherwise the shopper can enter the flow but won’t receive email), then build a custom flow in Instant AI with the tag as its trigger. The flow sits above your other flows, so a shopper still gets everything else they’re valid for, like your welcome flow.

6. The 1-in-100 competition winner

Tag: competition-winner Competitions are a fast way to grow your list and create a bit of theatre around your brand. One of the most effective formats is “1 in every 100 entrants wins” — it gives every entrant a real reason to hope, and it gives you a group of genuine winners to celebrate. Run it with a Shopify form and a tag. Set up the form to collect entries, then add an automation so that 1 in every 100 submissions gets an extra tag like competition-winner. That winner tag triggers a custom flow that tells them they’ve won and what to do next. If you want to talk to everyone who entered, give all submissions an entry tag as well and trigger a separate flow off that. As with the sale sign-up, make sure any tag you send off grants email marketing consent, then build the custom flow in Instant AI with the tag as its trigger. And you can reuse the same winner tag later — filter a one-off campaign to it if you want to retarget winners, or use it in a smart rule to show winners different content inside a shared send.

Where to use these tags in Instant AI

Once a tag exists in Shopify, it’s available across three places in Instant AI.

Campaign segments

Build a segment that filters on a specific Shopify tag and save it for reuse. Any campaign you send can then target or exclude that segment directly. Segments recalculate at send time, so you’re always working with the current state of your list. How to create and save segments in Instant AI

Flow exclusions

Exclude tagged shoppers from specific flows entirely. A shopper tagged score-hot probably doesn’t need a browse abandonment email. A shopper tagged founder-era shouldn’t be getting your standard welcome sequence. Tags let you skip the right people from the right flows without touching your flow setup. How to exclude shoppers from flows using Shopify tags

Smart rules

Use tags as conditions inside your emails to show different content blocks to different shoppers — within the same campaign or flow. A single campaign can show a VIP early-access block to founder-era shoppers, a loyalty reward block to score-hot shoppers, and a standard offer to everyone else. One send, multiple experiences. How to manage rules in your emails

The underlying principle

Tags don’t have to just describe who a shopper is. The most useful tags describe what they need next. Build your tagging strategy around that question and your segmentation will do work that no out-of-the-box filter can match.