Your email list has people that prop up your business. They buy more, they buy often, and they rarely, if ever, do they ask for a discount. 

In this blog, we will tell you all about VIP customer segmentation and why it matters so much. We’ll also go over how to find your VIPs using information you already have and what to do once you’ve identified them.

What is VIP Customer Segmentation?

VIP customer segmentation is when you separate your highest-value shoppers from the rest of your customer base. You do this to treat them differently, on purpose. Not every customer deserves the same offer or even the same level of attention. 

Your VIPs have already proven they trust your brand with real money, more than once. In ecommerce, the VIPs are essentially your “regulars,” so treat them like one.

Why Your Best Customers Deserve Special Treatment

Your VIPs are often the reason your business survives a rough quarter. They can be a huge chunk of your income sitting inside a tiny slice of your list.

Trying to acquire a new customer? That can potentially cost 5 to 25 times more than keeping an existing customer. That means that every dollar spent trying to get a new customer through, say, paid ads is a dollar you could have spent making a proven buyer feel appreciated.

VIPs already trust you. They know your sizing, your shipping timelines, and your return policy – the friction that usually slows down a purchase is already gone. VIPs respond well to being treated like insiders. A customer who has ordered from you five times has crossed a bridge that a brand-new visitor hasn’t.

How to Find Your VIPs

Most stores already have everything they need sitting inside their ecommerce platform or email tool. The most reliable method is called RFM, which stands for Recency, Frequency, and Monetary value. 

It scores customers on three simple questions:

#1 – When did they last buy from you?
#2 – How often do they buy?
#3 – How much do they spend?

Customers who score high on all three are your Champions, the small group driving outsized revenue. If you’re on Shopify with Klaviyo connected, you can build this segment directly using order count, total spend, and last order date filters.

A few thresholds to start with might be:

• Top 10% of customers by total lifetime spend
• Three or more orders in the past 12 months
• Above-median average order value

You don’t need to nail this on the first try. Start broad, watch how the segment behaves, and tighten the criteria once you see who’s actually in it.

What to Do Once You’ve Found Your VIPs

Identifying VIPs is only half the job. Nurturing them is where you’ll win loyalty for years.

• Start with a welcome moment. When someone crosses into VIP territory, or is getting close to it, tell them. A simple email that says, “You’re one of our top customers. Here’s what that means” does more for retention than another 10% off code ever will. People want to feel recognized, not just marketed to.
  
• From there, give your VIPs things the rest of your list doesn’t get. Early access to new products, a direct line to customer support, or invitations to test items before launch all signal that this relationship is different. 
  
• Keep VIPs out of your generic discount blasts. Nothing says “we don’t actually know who you are” like sending a first-time-buyer coupon to someone who’s spent thousands with you.

We touched on some of these ideas in our post on improving customer lifetime value with loyalty programs, and the two strategies work well together. Segmentation tells you who deserves the loyalty perks. The loyalty program gives you the mechanism to deliver them.

Segmentation Changed Communication

If your VIP segment doesn’t come with a distinct email flow, a different discount policy, or some kind of recognizable perk, it’s not really a segment. Segmentation pays off when it changes how you communicate with that group.

A strong repeat customer base feeds your VIP pipeline. If you want a benchmark for how your store stacks up, check out our guide on what counts as a good repeat customer rate.

Wrapping Up

Your VIP customers are telling you who they are through their behavior. Pull your order data first, then build a simple RFM segment. Treat that top slice of your list like your best asset to make your best customers feel special.

Ready to build a segmentation strategy that actually moves revenue? Schedule a call with us and we’ll help you find your VIPs and build the flows that keep them coming back.

Selling on a subscription basis seems like the perfect sales model—customers sign up and don’t need to remember to reorder, while you get predictable revenue each month. But subscription-based eCommerce businesses typically lose 5-8% of their subscribers per month. 

Losing 6% of your subscribers per month can lead to losing half of your subscriber base in a year, if nothing changes. Email is one of the best tools you can use to combat subscription loss. We’ll walk through why churn happens and what it’s really costing you, along with email strategies that keep customers around and increase their lifetime value (or LTV.)

Churn Affects Subscription Revenue

You often won’t see churn coming. Nothing dramatic happens, but one month a customer is there, and the next month they’re gone. Multiply that by a few hundred subscribers, and your growth curve flattens, even if your acquisition numbers are on-track.

There are two main types of churn:

• Voluntary churn: A subscriber actively decides to cancel because the product didn’t fit their needs, the price felt off, they found a cheaper competitor, or they forgot why they signed up.
• Involuntary churn: A payment fails because a card expired, funds were short, a bank flagged the charge, or their subscription was stopped, even though the customer didn’t choose to leave. 

When it comes to involuntary churn, failed payments can cost eCom businesses revenue; keep communication lines open. It can save a customer relationship, as well as your bottom line.

The Cost of Losing a Subscriber

It’s roughly five times more expensive to acquire a new customer than it is to re-engage one you already have. Every subscriber you keep for one extra billing cycle adds to your LTV. Once you’re tracking that number, you can see how much a churn reduction is worth.

Email Strategies That Reduce Churn

These email strategies don’t need a bigger budget or a new platform. You can use your existing email program and make it work harder for you.

Fix Failed Payments First

Before you spend a dollar on winning back voluntary cancellations, make sure you’re not losing loyal subscribers to a declined card. This is the cheapest churn you’ll ever fix because these subscribers already want your product but hit a snag.

Build a dedicated dunning sequence that sends a friendly heads-up before a card expires. Send a clear notice the moment that a payment fails and include a one-click link to update payment info.

Give Subscribers a Reason to Stick Around

Create emails to remind subscribers why they signed up in the first place (before they think about hitting cancel):

• Send usage tips so customers get more value out of what’s already showing up at their door
• Give exclusive early access to new and different product variations for active subscribers
• Highlight a loyalty perk they lose if they cancel, like free shipping or bonus points
• Tell them what’s coming in their next box to build anticipation

This is the same idea behind strong post-purchase flows, just stretched across the entire subscriber lifecycle instead of a single order. If you haven’t built those touchpoints out yet, our guide on turning one-time buyers into loyal customers with post-purchase email flows is a solid place to start.

Catch Them Before They Cancel

Subscription platforms let you flag subscribers who show early warning signs: a skipped shipment or a drop in email engagement. Those signals are your cue to send a proactive check-in before the cancel button gets clicked. 

Ask what’s not working in a win-back email. Offer to pause instead of cancel. Suggest a lower-frequency option if cost is the concern. Give them an easy off-ramp. You might be surprised at how many subscribers choose a pause option.

Let the Cancellation Flow Do the Work

If someone cancels their subscription, that’s not the end of the conversation. A short exit survey tells you exactly why they left.

A well-timed win-back sequence three or four weeks later can also bring a meaningful chunk of them back. This is helpful if the reason for leaving was something you’ve since fixed.

Turning Retention Into LTV

Your six-month subscriber and your brand-new one shouldn’t get the same emails. Long-term subscribers respond well to loyalty rewards and early access, while newer ones need reassurance that they made the right call. 

Segmentation is another major part of the LTV equation. Treating every subscriber the same will only plateau your revenue.

Cross-sell and upsell emails also perform much better once someone is a proven, engaged subscriber. A supplement brand might introduce a complementary product after three successful billing cycles. A coffee subscription might offer a grinder upgrade once someone’s ordering pattern shows real loyalty. Timing offers around subscriber milestones makes them feel earned and worthwhile.

Building Your Subscription Email Roadmap

If you’re starting from scratch, don’t build everything at once. Start with these three flows. Once they start performing well, layer in more advanced segmentation:

• A failed payment recovery sequence that fires the moment a charge doesn’t go through
• An engagement and value flow that reminds active subscribers why they’re paying you every month
• A cancellation save flow with a pause option, a real reason to stay, and a genuine ask for feedback

Once those are working well, expand into milestone-based loyalty emails, win-back sequences for lapsed subscribers, even personalized upsells based on billing history.

Wrapping Up

Subscription revenue is built on thousands of individual decisions your customers make every single month about whether to stay. Email is how you influence that decision before it’s even made.

Ready to keep your subscribers around longer while increasing LTV? Schedule a call with us and let’s turn your subscription program into your most profitable channel.

How many times have you seen the same bland, boring AI-generated messaging in your emails? A vague prompt in ChatGPT will always give you a vague output.

By adding specifics to your AI prompts, you give it context, details for it to create with. That’s when you get something usable. And when it comes to ecommerce emails, the more specific, the more likely browsers will turn into buyers.

In this blog, we give you 25 prompts you can copy, paste, and use right away. These prompts are written specifically for ecommerce and are designed to get you drafts that sound like your brand, not a bot.

Why the Prompt is Everything

The prompts below have context baked into them. This tells ChatGPT:

• who your customer is
• what the email is for
• what tone to use
• what action you want the reader to take

Fill in the brackets with your specifics for a draft that’s 80% of the way there.

Remember to review and edit your email content before sending anything to keep your brand voice your own.

Welcome Email Prompts

Your welcome email is your first real introduction to new subscribers. Welcome emails convert 9.4X more than standard marketing emails. Make that first impression count.

Prompt 1: “Write a welcome email for [Brand Name], a Shopify store selling [product type]. Thank them for joining, explain what to expect from our emails, and include a soft CTA to shop our bestsellers. Tone: warm and conversational. Under 200 words.”

Prompt 2: “Write a welcome email for [Brand Name] that leads with our brand story. We started because [reason]. Include a welcome discount code [CODE] and make the CTA feel genuine, not pushy. Tone: friendly founder voice.”

Prompt 3: “Write welcome series email #2 for [Brand Name]. Skip the discount — this one builds trust. Share our best customer review, highlight our return policy, and link to our FAQ. Tone: reassuring and clear.”

Abandoned Cart Email Prompts

The entire purpose of an abandoned cart email is to get that browser over the line and convert them. Here’s how to prompt those emails.

Prompt 4: “Write the first abandoned cart email for [Brand Name]. Sent 1 hour after abandonment. Friendly reminder, no discount yet, clear CTA back to the cart. Product left behind: [Product Name]. Tone: light, zero pressure.”

Prompt 5: “Write the second abandoned cart email for [Brand Name]. Sent 24 hours after the first. Address one common objection (quality, fit, or price). Include a customer review. Still no discount. Tone: empathetic and direct.”

Prompt 6: “Write the third abandoned cart email for [Brand Name]. Include a [X]% discount expiring in 24 hours. Short, punchy, and urgent without being obnoxious. Tone: casual and confident.”

Prompt 7: “Write 5 subject line and preview text pairs for an abandoned cart email for [Brand Name]. Product: [name]. Mix curiosity, urgency, and humor. No clickbait.”

Post-Purchase Email Prompts

A strategic post-purchase flow makes customers come back for more (for a deeper look, check out our guide to post-purchase email flows.) 

Prompt 8: “Write an order confirmation email for [Brand Name] that goes beyond the order summary. Add a genuine thank-you, a brief brand differentiator, and one cross-sell for [related product]. Tone: celebratory but human.”

Prompt 9: “Write a product education email for [Brand Name] sent 3-5 days after delivery of [Product Name]. Share tips for best results, a care guide, and a CTA to leave a review. Tone: helpful, like advice from a knowledgeable friend.”

Prompt 10: “Write a review request email for [Brand Name], sent 10 days after delivery. Make it feel low-pressure and human. Explain why reviews matter to a small business. Include [REVIEW LINK]. Under 150 words.”

Prompt 11: “Write a replenishment email for [Brand Name] sent [X] weeks after purchase of [consumable product]. Remind them they may be running low and make reordering easy. Mention a subscribe-and-save option if applicable.”

Win-Back and Re-Engagement Email Prompts

Inactive subscribers will cost you money. Re-engage them with these prompts.

Prompt 12: “Write a re-engagement email for [Brand Name] subscribers who haven’t opened in 90 days. Acknowledge the silence with light humor, remind them what they’re missing, and include a small incentive [OFFER]. Tone: self-aware and playful.”

Prompt 13: “Write a win-back email for customers of [Brand Name] who bought once but haven’t returned in [X] months. Highlight what’s new, include a genuine ‘we miss you’ message, and offer a returning customer discount.”

Prompt 14: “Write the final email in a win-back sequence for [Brand Name]. Let them know we’re removing them from the list, but make it feel human. Give them one last CTA to stay. Tone: honest and a little vulnerable.”

Promotional Campaign Email Prompts

A promotional campaign is effective when it leads with something your customer cares about. Lead with a conversation first; that conversion will come later. 

Prompt 15: “Write a product launch email for [Brand Name] introducing [Product Name]. Lead with the problem it solves. Use early access framing and a CTA to shop now. Tone: excited but grounded.”

Prompt 16: “Write a flash sale email for [Brand Name]. Sale runs [X hours/days], features [product/category]. Create urgency without all-caps or excessive punctuation. Include a subject line. Under 180 words.”

Prompt 17: “Write a seasonal campaign email for [Brand Name] tied to [holiday or season]. Customer: [description]. Offer: [details]. Lead with a relatable seasonal moment before the pitch. Tone: conversational.”

Prompt 18: “Write 5 Black Friday subject line variations for [Brand Name]. Mix: curiosity, urgency, humor, value. Each under 45 characters. Avoid “exclusive” and “don’t miss out”.”

Segmented and Personalized Email Prompts

According to MailMend, personalized emails generate a 139% higher CTR than generic broadcast emails. Personalize for specific segments with these prompts.

Prompt 19:

“Write an email for [Brand Name] targeting first-time buyers who haven’t made a second purchase. Remind them of what they bought, suggest a complementary product [Product Name], and include a loyalty-building message. Tone: friendly check-in, not pushy.”

Prompt 20:

“Write an email for [Brand Name] targeting VIP customers who have ordered 3 or more times. Reward them with early access to [new product or sale]. Make them feel genuinely appreciated, not just like they’re receiving a marketing email.”

Prompt 21:

“Write a browse abandonment email for [Brand Name]. The customer viewed [product category] but didn’t add to cart. Highlight 2-3 top products from that category, include social proof (reviews or popularity indicators), and make the CTA easy. Under 200 words.”

More Prompts for Specific Situations

Use these prompts for situations that may come up but don’t fit neatly into any other category.

Prompt 19: “Write an email for [Brand Name] targeting first-time buyers who haven’t returned. Reference what they bought, suggest [complementary product], and include a loyalty-building message. Tone: friendly check-in.”

Prompt 20: “Write a VIP email for [Brand Name] customers who have ordered 3+ times. Reward them with early access to [product/sale]. Make them feel genuinely appreciated, not like they’re receiving a marketing email.”

Prompt 21: “Write a browse abandonment email for [Brand Name]. Customer viewed [product category] but didn’t add to cart. Highlight 2-3 products from that category, include social proof, easy CTA. Under 200 words.”

Prompt 22: “Write a price increase email for [Brand Name]. Be transparent about why, thank customers for their loyalty, and give them a window to stock up at the current price before [date]. Tone: honest and appreciative.”

Prompt 23: “Write a back-in-stock email for [Brand Name] for [Product Name]. Build excitement around its return, add scarcity messaging (limited stock), and include a direct CTA.”

Prompt 24: “Rewrite this email for [Brand Name] to be shorter, punchier, and more conversational. Remove corporate language. It should sound like a real person who genuinely likes their customers. [Paste email here]”

Prompt 25: “Write 3 A/B test subject line variations for this [Brand Name] email. Variation A: value-forward. Variation B: curiosity-based. Variation C: personal/conversational. Each under 50 characters. [Paste campaign summary]”

Wrapping Up

Generic inputs produce generic emails. Be specific with the information you put in a prompt – the output you get will be more direct when you tell ChatGPT your product name, your customer type, your brand tone, and what you want the reader to do.

Schedule a call with us and let’s look at what your email can do for your revenue.

AI tools like ChatGPT, Google’s AI Overviews, and Perplexity are now answering shopping questions directly, recommending specific products. Users don’t even have to go to a search results page at all to find what they want.

Product pages weren’t originally built for AI. And now, if your product pages aren’t structured for AI to read and interpret, you get skipped.

Here, we break down why AI struggles to understand product pages and what it’s looking for.

How AI Reads Product Pages

When an AI tool crawls or processes your product page, it doesn’t browse how a human browses. It’s parsing text, structure, and data signals.

AI models learn to associate content with queries based on patterns in language and context. If your product page has clear, specific, well-structured text, AI understands the product.

Google’s AI Overviews are a part of everyday searching. If AI can’t understand your products, they won’t give them as a response to a question.

Four Common Reasons AI Can’t Read Your Product Pages

1. Product Descriptions That are Short or Vague

A customer doesn’t search with vague language; they search by specifics. Someone searching, “What’s a good insulated water bottle for hiking that fits in a backpack side pocket?” needs your page to have that information so AI can connect the dots.

AI needs specifics: what is the product made of? What does it do? Who is it for? What colors does it come in? How does it compare to alternatives? What problem does it solve? 

2. Key Information Lives Inside Images

Product pages show things like size charts or spec tables as images, but AI can’t read text inside images the way a human can. 

So, if your sizing guide is a JPG, it’s essentially invisible to AI. 

3. No Structured Data Markup

Schema markup tells search engines and AI what type of content is on your page. Product schema communicates price, availability, reviews, and product category in a way AI understands. 

Product pages with proper structured data are more likely to appear in rich results and in AI-generated recommendations. Without that structured data, AI has to guess.

4. Reviews are Blocked or Unsupported

User reviews are written in natural language and address real use cases. They are the exact phrasing that matches how shoppers search. If they

Optimize Your Product Pages for AI

Write Longer, More Specific Product Descriptions

• Use at least 300 words per description, more for complex or high-ticket items
• Add specific use cases, material/ingredients, and how the product helps your customer
• Use real questions a real customer would ask before buying and answer them in the description
• Write how your customers talk, not the way marketers write. Specific language matches specific queries

Convert Image-Based Information into Text

Audit your product pages for key information that lives in an image. Size guides, ingredient lists, care instructions, compatibility specs, comparison tables – they must exist as real HTML text on the page, not just images.

Metafields are useful here because they store structured product data that can be displayed as text. This data is also more easily picked up by crawlers and AI tools.

Add Product Schema Markup

Product schema is a structured data format that tells AI and search engines the specific attributes of your product. 

Your product schema should include: 

• Name
• Description
• Price
• Currency
• Availability
• Brand
• Aggregate review rating

Use Google’s Rich Results Test to check whether your current pages have valid product schema and what’s missing.

Use FAQ Sections On Product Pages

Add FAQs to top product pages to answer commonly asked questions.

“Does this fit a 15-inch laptop?” “Is this safe for sensitive skin?” Direct questions like these match search queries and give AI clear, quotable answers to pull from.

Make Reviews Crawlable

Make sure your review platform shows the review text as real HTML. If you’re collecting reviews through a separate platform, test it with Google Search Console’s URL Inspection tool to see what a crawler sees.

Write Strong, Keyword-Rich Page Titles and Meta Descriptions

Your page title and meta description show AI what the topic of the page is. This is how to make them stronger:

• Include the product name, a key attribute, and a use case in your page title. 
• Write meta descriptions that describe the product in plain language.
• Don’t use fluff in your meta description. “Heavyweight 100% organic cotton t-shirt, pre-washed for softness, available in 12 colors from XS to 3XL” works better than “Premium quality cotton t-shirts.”

Internal Links Help AI Understand Context

AI uses context to understand what a page is about. Internal links to related products, category pages, reviews, even blogs, help AI build a picture of your products. 

For example, if you have a blog that answers product-related questions, link to it on your product pages. If you sell complementary products, link them and describe how they’re related. 

Wrapping Up

AI search is now how shoppers find products. Context builds authority; your product pages, content, and your email strategy should all work to give customers and AI the right context at the right time. 

Schedule a call with us if you want to see where AI might be skipping over you.

Right now, “automation” means setting up a welcome flow, a cart abandonment sequence, and maybe a post-purchase series, then hoping they still made sense six months later.

Something bigger is happening now. A shift from automation to agency. And if you’re running an ecommerce shop, the timing is important.

This post breaks down what agentic marketing means, recent launches of AI tools, and what you should be thinking about right now.

What Does “Agentic Marketing” Actually Mean?

Essentially, the marketer defines the goals of a campaign, along with the limitations, and the agentic AI does the rest. 

Automation handles tasks you’ve predefined. Agentic marketing does it differently by taking the outcome you describe and figures out how to get there.

Think of the difference like this: 

Traditional automation says, “When someone abandons a cart, send email A after one hour, then email B after 24 hours.” 

Agentic marketing says, “Recover as many abandoned carts as possible this month,” and then does it by pulling data, generating copy, testing approaches, and refining, without someone manually managing every step.

Agentic marketing changes things. Instead of responding to what a customer did, it responds to what a customer is doing right now and makes decisions about what happens next based on that context. For ecom emails, this closes the distance between what you know about a customer and what you send them.

The Clear Revenue Case

Marketing automation returns $5.44 for every $1 spent on average. By adding real-time, agentic AI decision-making to that automation, those returns get pushed higher – it’s the same list, managed more intelligently, and producing more targeted outcomes.

This is the type of tool that’s useful for ecom shop owners that are stretched thin, and it’s a fundamentally different relationship with your marketing tools.

Klaviyo and Anthropic Just Made This Real

Klaviyo announced an expanded integration with Anthropic, the company behind Claude. Marketers can now connect their Klaviyo data directly to Claude and use it to produce: 

• campaign briefs
• flow audits
• performance reports
• other campaign-ready assets

As a bonus, Claude doesn’t need to export anything or rebuild dashboards.

The key piece is Klaviyo’s Model Context Protocol (MCP) server, which is now connected across Claude’s products. It gives Claude secure access to your Klaviyo campaign data, flow performance, customer profiles, and lifecycle signals.

Why ChatGPT Shopping Makes This Urgent

Something equally significant is shifting on the consumer side.

ChatGPT implemented a shopping feature with rich visual shopping tools like side-by-side product comparisons. This lets shoppers easily buy directly inside ChatGPT.

The customer journey is compressing. It used to look like this:

• Search
• Browse
• Compare
• Click
• Buy

Now it looks like this: 

• Describe what you want
• Get a recommendation
• Buy

The stages in between, where your retargeting ads and browse abandonment emails typically do their work, are shrinking.

That means that email marketing has to be more targeted than ever. If a customer is already considering buying and they’re going between ChatGPT recommendations and your store, a well-timed, relevant email is the confirmation they need to buy.

What Agentic AI Means for Your Email Marketing

The stores that will do well in this environment are ones that treat email as a retention engine, not just a broadcast channel. A few things worth looking at if you haven’t already:

• Flow hygiene matters more now. With AI agents surfacing products based on reviews, descriptions, and signals, your post-purchase experience directly affects repurchases. Check if your post-purchase email flows are really building loyalty.
• Segmentation needs to keep up. Generic campaigns get ignored fast. With Klaviyo’s Claude integration, there’s no longer a good excuse for one-size-fits-all messaging when the data is right there and the tool is the same one drafting your briefs.
• Testing still wins. Agentic tools are only as good as the data they’re working from. Your A/B testing framework is what generates the performance signal that makes optimization meaningful. 
• Behavior based triggers work. Behavior-based triggers account for 41% of email-generated revenue. Customers notice when they get an email that considers their customer journey and relationship to the brand. 

What Good Agentic Email Infrastructure Looks Like

Building email infrastructure that behaves intelligently requires a few things working together:

• Clean, unified customer data
• Trigger logic that responds to intent, not just actions
• Channel coordination (email and SMS need to share context)
• Measurement beyond open rates – think revenue per recipient, conversion rate by segment, and lifetime value changes 

Getting Your Store Ready

None of this requires an enterprise budget or a full-time data team. Klaviyo’s MCP integration is available now in the Claude Connector directory. 

If you’re already using Klaviyo, you can connect it and start asking Claude to:

• generate reports
• surface underperforming flows
• customer profile management
• draft campaign briefs based on your data

The big opportunity is to act on what your data is telling you instead of letting it sit in dashboards.

Wrapping Up

If your current email program is built on a welcome flow, an abandoned cart sequence, and a weekly campaign, you already have a foundation. Agentic marketing builds on top of that foundation.

Agentic marketing tools are already live. The customer behavior is shifting along with it.

There are opportunities waiting in your current setup that you can take advantage of. Schedule a call with us and we’ll show you what’s possible.

If you’re running email, paid ads, SMS, and organic search all at the same time, you’ve seen how every platform claims credit for the same sale.

Your Google Ads dashboard says paid search closed the deal. Your email platform says it was the nurture sequence. Your Meta account is also pretty sure it was responsible. So which channel is right? The answer can be frustrating – it’s probably all of them and none of them. 

This post breaks down why last-click attribution gives a distorted picture of your marketing. We go over what better models look like and how you make smarter decisions about where your budget actually goes

The Last-Click Problem is Big

The default setting for most ad platforms and analytics tools is still last-click attribution. It hands 100% of the credit for conversion to the final touchpoint before a purchase. This includes things like a branded search, a retargeting ad, or a direct visit. Simple, easy to report on but also dangerously misleading.

According to EMARKETER, 78.4% of marketers use last-click attribution to measure media performance — yet only 21.5% believe it’s a reasonably accurate reflection of long-term business impact. That’s a lot of marketers using a tool they don’t trust, and for good reason. 

When a customer discovers your brand through an Instagram ad, reads a few emails, clicks a retargeting ad, and then converts through a Google search, last-click gives Google 100% of the credit. No credit is given to any other channel, and you end up cutting the budget on channels that sparked interest in the first place.

Last-click models misallocate up to 40% of conversion credit to bottom-funnel channels that are simply capturing demand built elsewhere–your email flows, your organic content, or your awareness ads.

What Multi-Touch Attribution Does

Multi-touch attribution (MTA) distributes credit across all the touchpoints in a customer’s journey, not just the last one. MTA recognizes that a customer who saw three ads, received two emails, and clicked on an organic post before buying was influenced by all of those interactions. No winner-takes-all models here! 

It’s now the most widely adopted approach: 52% of marketers use multi-touch attribution, according to a 2024 MMA report. And those who do report higher satisfaction with their ability to track campaign spend and allocate budget effectively.

There are several common MTA models, each suited to different business goals. The main ones are:

• Linear: Equal credit to every touchpoint in the journey. A good baseline for a fair view across all channels.
• Time-decay: More credit to touchpoints closest to conversion. Useful if your sales cycle is short and recent interactions carry more weight.
• Position-based (U-shaped): 40% to the first touchpoint, 40% to the last, with the remaining 20% split among everything in between. This is useful for ecomm stores where discovery and the final nudge are both critical.
• Data-driven: Uses machine learning to assign credit based on actual conversion patterns in your data. The most accurate but requires significant conversion volume to be meaningful.

None of these is universally “correct.” The right model depends on your sales cycle, your channel mix, and what question you’re actually trying to answer. That’s kind of the point.

Why Your Email and SMS Channels Are Probably Undervalued

Email and SMS sit primarily in the middle of the funnel. They warm up leads, nurture hesitant buyers, and keep your brand front of mind over days or weeks. But in a last-click world, they only get credit if someone clicks your email and immediately buys.

Email nurture sequences play a major role in getting the customer ready to buy, but they can be undervalued. Your SMS flows (abandoned cart reminders, back-in-stock alerts, post-purchase follow-ups) also function as a reminder or trust signal that precedes a purchase made through another channel:

• Under last-click, they get nothing.
• Under a position-based or linear model, they get their fair share.

If your reports are consistently undervaluing email and SMS, you’ll be tempted to reallocate that spend to paid search or retargeting — the channels that “win”. That means you’d actually be cutting the channels doing the heavy lifting.

Three Things You Can Do Right Now

You don’t need an enterprise analytics stack to start doing this better. Here’s a realistic starting point:

1. Switch Your GA4 Attribution Model

GA4’s default attribution model is last-click. Google recommends switching to its data-driven attribution (DDA) model, which uses machine learning to distribute credit based on actual conversion patterns. 

If you have the conversion volume to support it (roughly 400+ per month), this is a great, simple upgrade that gives you a more balanced read on channel performance.

2. Run a Multi-Model Comparison

Pull 90 days of conversion path data from GA4 under Advertising > Attribution > Model Comparison. Look at what changes between last-click, first-click, and linear models. 

Channels that show significantly more value under first-click or linear are likely being undervalued. Those are the ones worth protecting.

3. Pair Attribution Work with Systematic Testing

Attribution modeling tells you what’s happening across the journey. But it doesn’t tell you what the driving force is behind incremental revenue. That’s where structured testing comes in. 

A solid A/B testing framework for your email campaigns gives you controlled data to validate what your attribution model suggests. If your model says email is playing a bigger role than last-click reports show, testing proves it with real numbers.

The Multi-Channel Revenue Reality

Businesses selling through three or more channels generate over 140% more revenue than those operating on fewer channels. But that revenue lift only materializes when those channels are coordinated.

The case for better attribution modeling is about getting a clear enough picture of your customer journey to make confident decisions – where to invest, what to test, and which channels to defend when someone asks why that email program is still getting budget.

Wrapping Up

Attribution modeling is one of those topics that’s easy to nod along to and hard to implement. If you’re running multi-channel campaigns and you’re not sure which channels are doing real work, that’s what we work through with store owners every day.

Want a clearer picture of your marketing performance and a strategy for where to spend next? Schedule a call with us and we’ll dig into what your data is telling you.

You’re running a Shopify store and you’re still just blasting out promo codes like it’s nothing. Is it actually working?

The stores get more revenue from SMS marketing aren’t sending more texts – they’ve built a set of triggered sequences that run in the background. They’re on 24/7, firing at exactly the right moment for each customer. 

Here, we cover the exact automated SMS flows that your Shopify store should have, what each one does, and why it’s worth building.

Why Automated Flows Outperform One-Off Blasts

A broadcast campaign will land in someone’s inbox whether they’re in the mood to buy or not. 

An automated SMS flow fires at the exact moment a customer is already thinking about your brand, like right after they abandoned a cart, just placed an order, or haven’t come back in a while.

This is because automated SMS messages generate 5x more revenue per send than broadcast campaigns. To top it off, 64% of SMS revenue comes from automated flows, not broadcast campaigns. 

That means the bulk of what SMS generates for top-performing ecommerce brands comes from the messages that run on autopilot.

The 5 Automated SMS Flows Worth Setting Up

Here are the best automated SMS flows to use.

1. Abandoned Cart Recovery

This one is non-negotiable. Shoppers abandon carts for all kinds of reasons — they got distracted, they wanted to think it over, their dog had other plans. A well-timed text can pull a lot of them back.

Your abandoned cart SMS should follow these guidelines:

• Fire 30–60 minutes after someone leaves without buying
• Keep it short, personal, and direct. For example, “Hey [Name], you left something behind. Grab your [Product Name] before it sells out: [link].”
• Don’t open with a discount on the very first text

When you narrow it down to abandoned cart flows specifically, each message can generate between $3.07 and $10.78 in earnings.

Use a two-step sequence. The first message is a friendly nudge. If they still haven’t bought after 24 hours, a second text with a small incentive, like free shipping, can seal the deal. 

2. Welcome Series

The moment someone opts into your SMS list is your highest-engagement window. They just told you they want to hear from you. Don’t waste it on a flat “Thanks for signing up!”

A 2–3 message welcome flow spread over a few days introduces your brand story, shares what makes you different, and delivers a first-purchase incentive. It sets the tone for everything that follows and creates early conversions when purchase intent is still fresh.

62% of people are more likely to opt into SMS after they’ve already made a purchase, which is why pairing a post-purchase opt-in prompt with your welcome series is such an effective combination. You’re catching people when they’re already happy with you.

3. Post-Purchase Flow

Selling to someone once is good. Getting them to come back is where the real value is.

Your post-purchase SMS flow should start with an order confirmation and move into a shipping update. A few days after delivery, send a check-in message, something like “Hey, how are you liking your product? 

This is a great spot to ask for a review, introduce a complementary product, or remind them about a loyalty program if you have one.

This flow works because it keeps your brand top-of-mind at the moment a customer is happiest. They just got something they ordered. That’s a high-trust moment, and smart brands use it to make that relationship strong. 

4. Win-Back Flow

When customers leave, they go quietly. It happens across every Shopify store at every price point. A win-back SMS flow targets people who haven’t purchased in 60–90 days and gives them a specific reason to come back.

Keep these texts punchy. Reference what they bought before or simply acknowledge the gap. “It’s been a while. Here’s 10% off, just because.” 

5. Back-in-Stock Alerts

If a customer browsed a sold-out product and signed up for a restock notification, they have already done most of the sales work for you. 

You know exactly what they want, and they’ve told you they want it. A single text the moment something is back in stock (HINT – mention limited inventory) can drive an immediate purchase spike without any persuasion required. 

Getting the Timing Right

These flows are only as good as when they fire. SMS is more personal than email but if poorly timed texts can be unread AND get you unsubscribed.

We’ve put together a full guide on SMS sending schedules for ecommerce stores if you want to get into the specifics. 

The short version:

• aim for business hours
• always respect time zones
• avoid sending after 8pm

On the plus side, 72% of consumers are willing to receive at least one text from a brand per week. Nearly half of those are open to hearing from you more often than that. The bar isn’t as strict as many store owners assume. 

A Few Things to Keep in Mind

SMS is a channel built entirely on trust. In 2025, 84% of consumers opted in to receive texts from businesses — a meaningful jump from the year before. That’s a huge audience actively choosing to hear from brands.

But subscribers can opt out just as easily. When you set up your flows, keep your texts:

• short
• useful
• relevant
• specific
• personalized

Wrapping Up

The stores getting the most out of SMS right now are sending the right messages at the right moments. 

These five flows give your store a system that generates revenue without constant attention. Set them up properly once, review the data regularly, and let it bring the sales to you.

Schedule a call with us and let’s figure out where the biggest automated SMS opportunities are for your store.

How can you show the right products to the right customers at the right time? Should AI handle recommendations, or is using manual segmentation to craft personalized offers for your audience better?

 The strategy you use impacts your conversion rates, AOV, and, of course, your overall revenue. And which approach drives more revenue?

We break down the strategies and show data on what works for both strategies.

How the Two Approaches Differ

This is how AI product recommendations and manual segmentation differ.

AI Product Recommendations

Machine learning algorithms analyze customer behavior, purchase history, and browsing patterns. They automatically suggest products to customers based on what similar shoppers bought or viewed.

You’ve probably already seen this in action in “Customers who bought this also bought…” or “Recommended for you” sections.

Manual Segmentation

Manual segmentation divides customers into specific groups based on specific criteria.

For example, you can create segments for high spenders, recent purchasers, cart abandoners, or customers who bought in specific product categories. Use the segments to send targeted campaigns and product suggestions.

Both methods show customers products they’re likely to buy. The difference lies in who’s making the decisions, the algorithms or the humans.

Why Use AI Product Recommendations

AI recommendations are incredibly sophisticated. Systems analyze thousands of data points across your customer base to spot patterns humans would never catch.

Studies show that AI-powered product recommendations can increase conversion rates by 915%. When shoppers see products tailored to their interests, they’re more likely to add items to their cart.

AI excels at finding unexpected connections. For example, customers who buy yoga mats might often purchase candles three weeks later. AI spots patterns without having to hypothesis-test every possibility.

The technology also adapts in real-time. AI adjusts its recommendations automatically as customer behaviors change.

Basically, you won’t get stuck with outdated segments that don’t really reflect how people shop.

Why Use Manual Segmentation

In specific cases, manual segmentation often outperforms automated recommendations.

If you manually segment your email list, campaigns see 14.31% higher open rates compared to non-segmented sends. That’s because you understand your customers in ways AI can’t.

You know your “wine enthusiast” segment responds better to educational content about pairing suggestions, for example. These nuanced approaches need a human eye that knows about your specific products and customers.

Manual segmentation gives complete control over the customer experience. Launching a new product line? You can strategically target the segment most likely to buy. AI might not recognize this because it lacks historical data on the new products.

AI might recommend a luxury item to a budget-conscious customer. With manual control, you ensure every recommendation matches your brand voice and customer expectations.

When AI Recommendations Work Best

AI product recommendations shine in specific scenarios.

• Large Product Catalogs (hundreds to thousands of products)
• Frequent Purchases
• High Traffic Volume
• Cross-Selling Opportunities

When Manual Segmentation Works Best

Manual segmentation gives you an edge in different situations.

• Small Product Lines (20-50 products)
• Specific Customer Journeys
• New Products or Collections
• Brand-Specific Strategies

Using the Hybrid Approach

Use AI for on-site product recommendations and checkout cross-selling. Let it do the heavy lifting of analyzing browsing behavior and patterns.

Use manual segmentation for email marketing and promo campaigns. Create specific segments for abandoned cart recovery, win-back campaigns, and seasonal promos.

This is how to leverage AI’s pattern-recognition while keeping the strategic control over customer relationships.

Measure These Metrics

Track these metrics to understand which approach drives more revenue for your specific store:

• Conversion Rate by Source
• Average Order Value
• Customer Lifetime Value
• Revenue Attribution

Wrapping Up

AI recommendations work brilliantly for real-time personalization on your website. They can boost your conversion rates, increase AOV, and it needs minimal maintenance.

Manual segmentation gives you strategic control over customer relationships. It lets you build effective email campaigns, launch new products, and maintain brand voice throughout the customer journey.

Be a trailblazer and let AI handle on-site recommendations while manually segmenting your email list for campaigns.

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Ready to build a revenue-driving strategy that combines the best of AI and manual segmentation? Schedule a consultation with us to create a personalized plan for your store.

You sent out your latest email campaign. It gets a few decent opens. A few clicks. Some sales. But you’re wondering if you could have done better.

A/B testing is a clear way to improve your campaigns by testing what was actually proven to work. not relying on assumptions.

We’ll guide you through what to test, how long to run it, and how to turn results into consistent revenue growth.

A/B Testing Your Emails Matters. Here’s Why

Studies show that email generates $36 for every $1 spent. This means email is one of the highest-ROI channels. This average includes brands that constantly test and optimize their emails.

The difference between a 2% and a 4% conversion rate can be one well-executed A/B test away.

When to Start Testing

• You have at least 1,000 active email subscribers (FYI – testing smaller lists smaller than this won’t give you statistically significant results).
  
• You’re sending regular campaigns (at least one per week).
  
• You have set goals for each email. Are you trying to increase open rates? Drive clicks? Boost sales? Be clear about what you want to happen.

What to Test: Subject Lines

Subject lines are the best way to start testing because they’re the first thing subscribers see. Research even shows that 47% of people open an email because of the subject line.

What to test:

• Test length first. Try a short subject line (under 40 characters). Test it against a longer, more descriptive one (50-60 characters).
  
• Personalization. Adding a name can boost opens, but it doesn’t work for every audience or every type of email.
  
• Urgency and curiosity. Urgency drives immediate action. Curiosity can intrigue people who resist pushy messaging.

What to Test: Email Content and Copy

Test short copy versus detailed copy. Some audiences want quick, scannable emails. Others prefer detailed product descriptions and storytelling. [Your welcome email series can be a great place to test this since new subscribers are highly engaged].

Test social proof placement. Try putting customer reviews near the top of your email versus near the bottom. Photos of real customers using your products can also boost credibility differently depending on where they appear.

Test value propositions. Maybe “Free shipping on orders over $50” perform better than “Get your order delivered free?. The same offer, framed differently, can produce very different results.

What to Test: Call-to-Action (CTA) Buttons

Your CTA makes the conversions happen. Even small changes here can create big swings in click-through rates.

Here’s what to test:

Button copy. “Shop Now” is generic but clear. “Get Yours” creates ownership. “See What’s New” works for curiosity-driven audiences. Test first-person language like “Show Me” against traditional third-person commands.

Button color and size. A button that stands out from the rest of your email design typically performs better. Test a contrasting color against your brand colors to see if visibility trumps brand consistency.

Button placement. CTAs can be beneficial both early and late in the message. Here’s a simple CTA A/B test: test a single CTA at the bottom against multiple CTAs throughout the email. Your audience will naturally show you what they prefer.

What to Test: Send Times and Days

Timing your email frequency correctly significantly impacts a campaign’s performance. Not everyone checks their email at the same time!

Test according to these send times and days:

Weekday versus weekend sends. Conventional wisdom says weekdays perform better, but tons of brands ecommerce brands see their audience browse and shop Saturday mornings or Sunday evenings.

Morning versus evening sends. Are your customers checking email over breakfast or after dinner? Test 8 AM against 7 PM to find out. 

Test consistency. Some brands see better engagement from regular Thursday sends. Others find variety keeps subscribers interested. Test a consistent send day for a month, then switch to varied days and compare engagement over time.

What to Test: Design Elements

Test single-column versus multi-column layouts. Many people read emails on phones, so mobile optimization is key, so you might find the single-column design wins out. 

Test images versus text-heavy designs. Product images sell, but too many images can be overwhelming.

Test GIFs and videos. A static image against an animated version to see if movement increases clicks.

How Long to Run Your A/B Tests

Running tests too short gives you incomplete data. Running them too long wastes opportunities to implement winning variations. The right testing duration balances statistical significance with practical needs.

Run your A/B test for 24-48 hours MINIMUM so you can measure performance across different times and devices. For smaller segments, let it run for a full week to get enough data.

When should you stop testing? Once you reach statistical significance. All this means is that you want to aim for at least a 95% confidence level before declaring a winner.

Common A/B Testing Mistakes to Avoid

• Testing too many variables at once. If you change the subject line, CTA, and images all together, you’ll never know what made the difference.
  
• Stopping tests too early. Version A is winning after 4 hours, but it doesn’t mean it will be the winner after 24 hours.
  
• Ignoring segment differences. What works for new subscribers might bomb with your VIP customers. Segment your list and test separately for different groups.
  
• Not documenting results. Write down what you tested and what won.

Building Your Testing Calendar

Create a testing schedule so you’re consistently learning and improving.

Here’s a simple framework:

Week 1: Test subject lines on your main promotional email. 

Week 2: Test CTA copy on your weekly newsletter. 

Week 3: Test send times for your abandoned cart series. 

Week 4: Test email design for a product launch campaign.

By rotating what you test each month, you’ll build a clear picture of what resonates most with your audience.

Wrapping Up

The goal of A/B testing isn’t to find a“perfect email” that works forever. Everything changes – your audience, your products, inbox behavior. Consistent A/B testing is a simple system to help you improve, based on what’s working today.

Test and track those small improvements – they compound into serious revenue over time.

Your next winning email campaign is one test away.

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Ready to build an email strategy that converts? Schedule a consultation and let’s discuss how we can help create a testing framework that drives real results for your ecommerce business.

Running multiple marketing channels for your ecommerce store can feel overwhelming. You’ve got email campaigns going out on Tuesday, SMS messages firing on Friday, and paid ads running 24/7. But when these channels work together, they REALLY work together. 

In this guide, we’ll talk about how to integrate email, SMS, and paid ads into a coordinated marketing strategy that drives better results than any single channel could achieve alone.

Why Cross-Channel Marketing Works So Well

Research shows that campaigns using three or more channels earn a 287% higher purchase rate than single-channel campaigns. That’s not a typo – nearly three times the results. Why? Because people need multiple touchpoints before they buy, and meeting them on different channels increases your chances of being there at the right moment.

Email + SMS: The Dynamic Duo

Use SMS for High-Priority Messages

Reserve text messages for your most important communications:
– Abandoned cart reminders
– Order confirmations
– Shipping updates
– Flash sale announcements

Email can handle everything else:
– Newsletters
– Product education
– Longer promotional campaigns
– Follow-up sequences

Following SMS compliance best practices to build that customer trust. Your customers look to you for reliability, and, on top of that, you stay on the right side of regulations.

Segment Based on Preferences

Some customers love getting text alerts to show them new deals or product drops. Other customers would prefer to check their email on their own time, without being interrupted. Let customers choose their preferred communication method when they sign up. Make sure those preferences are respected too. 

Time Your Messages Strategically

Coordinate the timing between when your email campaign and your SMS campaigns go out. This makes for an easier flow for the customer to follow.

According to recent studies, text messages get opened within minutes, with 98% open rates. Email averages around 20-30% open rates. Use this difference to your advantage by letting each channel play to its strengths.

Finding the right email frequency is just as important – you want to stay top-of-mind without becoming annoying.

Email + Paid Ads: Building Awareness & Nurturing Leads

Retarget Email Subscribers with Paid Ads

Show targeted ads to people who are already familiar with your brand. They wanted to get something during BFCM but didn’t? Remind them of what they missed. 

Use Paid Ads to Grow Your Email List

Run lead generation campaigns that offer a compelling reason to sign up for your email list, could be:
– discount code
– free shipping
– exclusive guide
– early access to new products

The key is making the offer valuable enough that people willingly trade their email address for it.

Once they’re on your list, your email marketing can take over the relationship-building process without continuing to pay for advertising to reach them.

Coordinate Campaign Messaging

Your ads and emails should be designed the same way. Same colors, same look, same spacing.

That goes double for the messaging. Matching ads and emails make recall easier for customers to actually make that purchase..

SMS + Paid Ads: Reaching Customers Everywhere

Two simple ways to use them:

• Use SMS to Rescue Abandoned Carts After Ad Clicks
• Create Exclusive SMS-Only Offers to Complement Paid Campaigns

Bringing All Three Together

The real power happens when email, SMS, and paid ads work as one system.

The Product Launch Campaign

• First week: Send your email list exclusive, behind-the-scenes content all about the product.
• Second week: Send another email with more details and a waitlist signup. Show retargeting ads to people who visited the landing page but didn’t sign up yet.
• Launch Day: Send SMS subscribers a text announcing that the product is live. Send an email to your full list an hour later. Run heavy paid ads all day targeting your custom audiences.
• Send reminder emails 2-3 days later to people who haven’t purchased yet. Show retargeting ads to cart abandoners. Send a text reminder to SMS subscribers to let them know that stock is limited.

The Flash Sale Campaign

2 days before: Email announcement with sale details and early shopping access for subscribers.

1 day before: Retargeting ads to email openers who didn’t purchase during early access.

Sale day morning: SMS at 8 AM to all subscribers. Email reminder at 9 AM. Heavy ad spend all day.

Sale day evening: “Last chance” text to SMS subscribers. Final email push to the full list. Continue running retargeting ads.

Best Practices for Cross-Channel Marketing

• Keep Your Messaging Consistent: Use similar language, visuals, and offers.
• Track Everything: with tools like Google Analytics

Set Reasonable Frequency Caps: Prevent customers from getting the same message multiple times in one day from different channels by capping the number of messages per day.

How You Can Measure Cross-Channel Success

Focus on these metrics:

• Track customer journey touchpoints.
• Monitor your overall revenue. Compare a month of coordinated cross-channel campaigns to a month where channels operated without any campaigns.
• Pay attention to customer feedback and ESPECIALLY unsubscribe rates.

Wrapping Up

Cross-channel marketing isabout being in the right places at the right times, with messages that actually fit together. Your customers aren’t sitting around waiting for your emails, texts, and ads – they’re living their lives, and you’re just trying to reach them when it makes sense.

Start with one connection. Add SMS to your abandoned cart email flow, or retarget your engaged email subscribers with ads. Test it for a month and look at the numbers – they might surprise you!

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Ready to build a coordinated marketing strategy? Schedule a consultation and let’s discuss how we can help integrate your marketing channels for better results.