6 Behavioral signals that can improve your email revenue
Most brands only track purchases and carts. There's much more data available
đ Thursday, 12 Mar 2026
Hey - It's Rhythm. Thrilled to have you back in Ecom Circle, where I spend my time scaling ecom brands & finding best growth strategies to share with you.
Most ecommerce brands are only reading a fraction of the story their customers are telling them. They track purchases. They watch for abandoned carts. They monitor email clicks. And then they stop.
But your customers donât just tap âbuyâ and disappear. They scroll your product pages late at night. They click an ad, leave, then come back through email three days later. They add items to their cart, pause at checkout, and vanish without explanation. Every single one of these moments is a signal - and youâre probably letting them go to waste.
The good news is that the data you need is almost certainly already being generated. The challenge is knowing which signals matter, how to capture them, and - critically - how to connect them across channels so your marketing can respond in real time.
This article breaks down six categories of high-value behavioral signals that can be reliably captured and fed into your marketing automation. Together, they give you a far richer picture of customer intent than purchases and cart abandons alone.
Letâs get into it!
1. Paid Ad Engagement
Your paid ads are often the first point of contact with a potential customer - which makes the behavior that follows the click especially valuable. Most brands track whether an ad led to a purchase. Few track what the user did in between.
Consider the difference in intent between someone who clicked an ad once and bounced, versus someone who clicked the same ad three times across two weeks and eventually browsed the product page. These are not the same customer. They shouldnât receive the same follow-up.
High-value patterns to capture:
Ad click â product view â add to cart: Strong purchase intent from a paid source. Prioritize with a timely, direct follow-up.
Multiple ad clicks across sessions â site visit: Repeated exposure signals genuine interest. This person is warming up and worth nurturing proactively.
Feeding these patterns into your email automation lets you prioritize high-intent users before they forget you exist.
2. Email-Driven On-Site Behavior
An email click is a good signal. What happens after the click is a great one.
When someone opens your email, clicks through, and then spends five minutes browsing a product category - thatâs not passive engagement. Thatâs active consideration. But if your email platform and your website analytics arenât talking to each other, youâre treating it like any other click.
Connecting email engagement with post-click behavior closes this gap and allows your automation to respond to what the customer is actually doing, not just whether they opened your message.
High-value patterns to capture:
Email click â product view â cart addition: The email sparked real purchase momentum. A well-timed follow-up can close the loop.
Email click â category browsing, no cart activity: The customer is exploring but not yet decided. They need education or comparison content, not a hard sell.
If signals like email click â browsing or cart activity arenât being captured correctly, your flows are working with incomplete intent data. In many cases, brands are missing a large portion of these signals â which means follow-ups are triggering too late or not at all.
Our partner Trackbee is offering an exclusive Klaviyo Data Audit for Ecom Circle readers â a hands-on review of how your email interactions connect to on-site behavior in your current setup. Hereâs what you walk away with:
A clear map of where your signal gaps are â specifically which email-triggered behaviors arenât being passed to your flows
Revenue opportunity sizing â an estimate of how much additional flow revenue youâre leaving on the table
A prioritized fix list so you know exactly what to address first for the fastest impact
3. Product Evaluation Behavior
When a customer views the same product three times in a week, or spends time comparing five items in the same category, they are not casually browsing. They are evaluating. This distinction matters enormously for how you respond.
Generic re-engagement emails donât speak to where this customer is in their decision process. Targeted emails with reviews, head-to-head comparisons, or bestseller callouts within the category theyâve been browsing â those do.
High-value patterns to capture:
Multiple views of the same product within a short window: Focused intent. This person wants this item; they just havenât committed yet. Reinforce value and remove friction.
Several products viewed within the same category: Comparison mode. Help them decide with curated content that highlights what makes your top picks stand out.
4. Checkout Friction Points
Cart abandonment emails are table stakes. Checkout step abandonment is where it gets interesting.
Not everyone who drops off at checkout is abandoning for the same reason. Someone who exits at the shipping page likely has a different concern than someone who makes it all the way to payment. Treating them identically â with a generic âyou left something behindâ email â means youâre guessing at the barrier instead of addressing it.
High-value patterns to capture:
Checkout started â drop-off at shipping step: Delivery cost is the most common culprit. A targeted email surfacing free shipping thresholds or delivery timelines can directly address this.
Checkout started â drop-off at payment step: Trust or friction is the issue. Reinforce security, surface alternative payment options, or offer a support prompt.
When you know where in the funnel someone stopped, your recovery email can speak directly to that moment â and dramatically improve conversion rates versus a generic reminder.
Checkout drop-offs often reveal exactly where customers are hesitating, but only if those signals are actually being captured. However, most brands only capture âcheckout started,â which hides the real friction points.
This Checkout Signal Review looks at how your current setup tracks checkout stages and abandonment behavior.Youâll come away with:
A stage-by-stage breakdown of where your tracking cuts out or goes dark
Specific recovery email recommendations tied to each drop-off point, not generic cart abandon copy
A conversion uplift estimate showing how addressing these gaps could reduce lost revenue at checkout
5. Cart Intent Depth
Not all abandoned carts signal the same thing. A single low-value item added and forgotten is very different from a cart full of high-consideration products that sat untouched for 48 hours.
Understanding the depth of intent behind cart behavior allows you to calibrate your response. High-value carts with delayed action deserve more urgency and reassurance. Casual additions may just need a gentle nudge.
High-value patterns to capture:
Add to cart â cart revisit without checkout: High intent with clear hesitation. Address it. This customer is close but stuck on something specific.
High cart value â abandonment: The stakes are higher, so the friction is likely higher too. Social proof, guarantees, and reassurance messaging perform well here.
6. Post-Purchase Engagement
The sale is not the end of the signal stream â itâs often the start of the most valuable part.
Customers who have just purchased and then immediately start browsing complementary products are telling you something obvious: theyâre still in a buying mindset. Yet most brands wait days or weeks before attempting any cross-sell, by which time the window has often closed.
High-value patterns to capture:
Purchase â views of complementary products: Upsell or cross-sell intent is live. Act on it quickly with relevant recommendations.
Purchase â ad click â product view: The customer came back through paid and went straight to a product. This is strong re-engagement intent. Follow up while theyâre warm.
Post-purchase behavior is one of the most underused signals in email marketing. Customers often continue interacting with products after buying â but most brands consider the battle over after customers convert. Little do they know, the fight has just begun.
This exclusive Post-Purchase Data Review
by our data partner Trackbee for our readers provides a free analysis of how your setup tracks customer behavior after an order is placed. Youâll leave with:
A list of post-purchase signals youâre currently missing, from complementary product views to return ad clicks
Cross-sell and repeat purchase flow recommendations based on what your customers are actually doing after they buy
A projected repeat revenue lift from closing those tracking gaps with smarter, better-timed follow-ups
Even small improvements here meaningfully increase repeat revenue.
Why Connecting the Signals Changes Everything
Individually, each of these signals is useful. Together, they become something far more powerful.
The problem most ecommerce brands face isnât a lack of data â itâs a lack of connection. When behavioral signals sit in separate silos across your ad platform, email tool, and website analytics, your marketing can only ever see fragments. It canât understand the full arc of how a customer moves from awareness to purchase, or whatâs actually stopping them along the way.
A unified data infrastructure changes that. When signals from every channel feed into the same system, your marketing stops broadcasting and starts responding â to real intent, in real time, rather than static rules and generic sequences.
The six signal categories in this article are a practical starting point. Each one is capturable today, and each one represents an opportunity to make your marketing more relevant, more timely, and more effective across every channel.
By now it should be clear that customer intent signals exist everywhere â across ads, emails, website sessions, and repeat visits.
The real challenge isnât strategy. Itâs capturing and connecting all that data in one place.
Most ecommerce brands are working with only a fraction of the signals their customers are already generating â and the gaps are almost never obvious until someone maps the full picture.
Thatâs why Trackbee â our trusted data partner â is offering Ecom Circle readers an exclusive Data Infrastructure Audit: a comprehensive review of your tracking setup across ads, email, and your website. Hereâs exactly what you get:
A full signal audit showing which behavioral data points are incomplete, missing, or siloed across channels
A unified data gap report so you can see precisely where your ad platform, email tool, and site analytics arenât talking to each other
Actionable segmentation and flow recommendations based on what a connected infrastructure would unlock for your specific setup
A revenue impact estimate showing the upside from fixing your highest-priority gaps
If youâre curious what signals your current setup might be missing, Trackbee is happy to take a look â exclusively for Ecom Circle readers.
The post-purchase signal point is the most underused. Most brands celebrate the conversion and go quiet, which is exactly when intent is still live and cross-sell timing matters most. We see this constantly across client accounts at Propel AI.