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1 year ago21:19

Complete Cold Email Strategy with Clay: E-commerce Prospecting Breakdown

Claycold emaildata enrichmentpersonalizationB2B saleslead generationoutreachautomation
Hans Dekker
Hans Dekker

AI-Powered GTM Strategist

Creator of Clay MBA · Former Founder (Lyne.ai, acquired) · Helped 200+ B2B teams

Last updated: January 1, 2026

Building a Complete Cold Email Strategy with Clay for E-commerce Prospecting

Cold email success depends on relevance, timing, and data. When targeting e-commerce stores, having specific performance insights can transform your outreach from generic pitches into compelling, data-driven conversations. Here's a complete breakdown of an advanced Clay workflow that combines website performance data, advertising insights, and AI personalization for maximum impact. For sending and sequencing, compare outreach platforms like Smartlead, Lemlist, and Instantly.

The Foundation: Website Performance Data

Google PageSpeed Insights Integration

The core of this strategy revolves around identifying e-commerce stores with performance issues. Using Clay's native Google PageSpeed Insights integration, you can automatically gather:

  • Performance scores (0-100 scale)
  • Speed index (how quickly content loads)
  • Time to interactive (when users can actually use the site)
  • SEO and accessibility scores

Stores with low performance scores become your highest-priority prospects. A performance score below 50 or load times above 3 seconds indicate clear optimization opportunities. For lightweight utilities used during data prep, check our tools page.

Data Cleaning for Accurate Results

Before running performance tests, clean your domain data by removing:

  • HTTPS prefixes
  • WWW subdomains
  • Trailing slashes
  • Query parameters

This ensures the PageSpeed API can properly analyze each website.

Layer 2: Facebook Advertising Intelligence

Identifying Ad Spend Patterns

By checking which prospects are running Facebook ads, you unlock a powerful differentiation strategy:

For stores running ads: "You're spending money driving traffic to a slow website - every second of load time is costing you conversions and ROAS."

For stores not running ads: Focus purely on the performance issues and lost organic conversions.

This advertising data helps segment your outreach and craft more relevant messaging based on their current marketing investments.

Enhanced Email Discovery and Validation

Multi-Step Email Verification Process

  1. Primary verification using MillionVerifier for deliverability checks
  2. Fallback email guessing when primary emails fail
  3. Multiple permutation testing (firstname@domain, first.last@domain, etc.)
  4. Catch-all handling with services like BounceBan

This layered approach significantly improves email match rates while maintaining deliverability standards.

AI-Powered Personalization at Scale

Creating Relevant Analogies

Using company descriptions, generate AI-written analogies for email P.S. sections:

"P.S. The way you design innovative shoes, we design lightning-fast websites that convert."

These analogies provide personalization without requiring deep research, achieving near 100% match rates since most companies have available descriptions.

Email Templates That Convert

Short and Direct Approach

"John, your website takes 4.6 seconds to load, which stops potential customers from buying online. How about a performance upgrade where you only pay if it increases sales?"

Value-First with Context

"You're busy designing rule-breaking shoes, but your website's 5-second load time is breaking sales opportunities. We can upgrade your performance for free - you only pay if it generates more revenue."

For Ad-Running Prospects

Add context about their advertising spend: "You're running Facebook ads to drive traffic, but your slow website is killing your ROAS. Every visitor that bounces due to speed is wasted ad spend."

Implementation Strategy

Prioritization Framework

  1. Tier 1: Running ads + poor performance score
  2. Tier 2: Running ads + moderate performance issues
  3. Tier 3: No ads + significant performance problems

Key Metrics to Track

  • Performance scores below 50
  • Load times above 3 seconds
  • Number of active Facebook ads
  • Email deliverability rates

Scaling Your Clay Workflow

Cost Optimization

While you could filter for poor performance first, then find emails, the low cost of email discovery makes it efficient to gather all data upfront. This approach provides more flexibility in prospect prioritization.

Continuous Improvement

Test different performance thresholds, email variations, and personalization approaches. The combination of hard performance data with contextual advertising insights creates multiple angles for optimization.

Key Takeaways

This Clay workflow demonstrates how combining multiple data sources creates compound personalization effects. Website performance data provides the hook, advertising insights add urgency, and AI personalization creates connection. The result is highly relevant outreach that addresses real business problems with specific, measurable solutions.

The beauty of this approach lies in its scalability - once built, the workflow can process hundreds of prospects while maintaining individual relevance through data-driven personalization.

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View Full Transcript

Hey everyone, Hans here. Another quick Clay tutorial. You know me by now. Today we're looking at e -commerce data, which is always really exciting to some people. To me it is, we're looking at the loading speed of e -commerce stores, Shopify stores, et cetera, just to see how fast or how slow they're loading. Then we're going to layer some Facebook ad data on top of that. And we're going to use some AI written analogies for PS sections. And a few other pretty exciting things that they're pretty standard. think by now I just want to show you how I do it and hopefully provide you with some inspiration. So as always, really excited to get started. Let's dive in. So to give you some context here, are potentially working with a client who does conversion rate optimization, website speed optimization specifically for e -commerce stores, mostly for Shopify stores. So what we want to do is we want to have a list of shop owners or Shopify stores. They don't want to see if they're having any issues, like any performance issues, accessibility issues, et cetera. So that's what we're checking here. I will go into that in a second. Then we're going to have an analogy that we can use in actual email. Then for this, we have to get the description. And then we're checking how many ads they're running. So here this company is running a bunch of Facebook ads. These ones aren't. And then this one, this company, they are running a bunch of Facebook ads. So then that is something that we can use in our email, right? Where we could say, if they're not running Facebook ads, we could just send a general email. I'll show you a few graphs in a second. But if they are running Facebook ads, then obviously that's something like an additional thing that we definitely want to point out saying, you're running all these ads to your website and you're spending a lot of money there, but you're... your ROAS, your return on ad spend could be a lot better if your site would only load a little bit fast, like you're basically throwing money away. So that's another angle that we can take if they're running more than ex -Facebook ads, because then Facebook ads are always really important to them. Then here the analogy. So, know, a good way to think, so this company, they design shoes and they talk about architecture. So, you know, a good way to think about us is just like, You know what you do, you have architectural designs, we transform e -commerce performance to innovative optimization. Not bad. So the way you help create cloning lines, we help create profitable online sources to succeed. These don't have to be 10 out of 10, they're just PS sections. If you have a solid email that doesn't even have to be personalized, you can say, your website is loading pretty slow. You're running a bunch of ads to your website. Chances are you're wasting lot of money. Can we redo, like can we help you optimize your website? And if we cannot help you make more money, then you don't pay. That's pretty much what we're gonna be sending. PSA way to think about us is the way that you're designing awesome clothes. We design awesome, really fast websites. So it's just a really small sort of personalization that's really, you you're gonna get like almost 100 % match rate because you'll have a description of pretty much every company and it just, I don't know, it's, it performs really well. So. is something that I pretty much always like to add. So that's the table that I built. It's fairly straightforward. We get the data. We use the page speed and all that to score and see which companies we want to prioritize reaching out to. We find the emails. If you want to do it even better than how I did it, you could say, first get me the performance score. only find the email of stores that have a really crappy performance score, but finding emails is so cheap these days that I just switch those around, not a problem. Then adding some personalization based on what the store does, and then seeing whether or not they're running Facebook ads, then they're an even better fit, and I wanna make sure that I'm sending them a different email. Going into the drafts, so quick disclaimer, these are just emails that I read you really quickly through together just writing down some of my thoughts, just getting them out on paper. That's how someone asked that the other day, like how do you write emails? How do you go from, know, clay table and then strategy or strategy clay table emails? Just really quick overview. Yeah, I decide on the strategy first. Like that's obviously something for a separate video. Then. You know, you get the based on that you have different data sets and play tables that you're building and those pretty much write the email and then when it comes to email writing I try not to think too much I just write a bunch of stuff, right? Like 10, 20 different variations and then I start editing and tweaking and just for me to have get the thoughts that I have any different angles that I have in my head just get them out there. So that's what you will be looking at. Just really rough stuff. just for me to get that out. So these are some things that I'm potentially thinking about sending. John your website takes about 4 .66 seconds to load which is talking potential clients from buying from you online What do you think about a perform website performance upgrade where you're paying me only if it leads to increased sales? Little bit. I don't know like not a huge fan of that line right there So we probably want to rewrite that and see if we want to test the super short version Same intro John your website takes X seconds to load stopping people from buying from you online. How about letting me upgrade performance of your website? Pay me only if the updates boost sales. Couple of options there. Just me throwing some thoughts out there. I haven't written anything yet around Facebook ads, then that would just, you know, add an additional sentence probably saying, you know, so you're running a bunch of ads, your website's really slow. You know, you're wasting money there. It could have helped you optimize your website and you only pay me if, you know. if you get more sales out of it. That's the idea. And that's the clay table that I built around it. And that is just to show you that you need something super, super complicated to start sending, you know, pretty personalized or at least relevant campaigns, because I know they're running a lot of Facebook ads and know that, you know, their website isn't performing well. So those two are enough for me to say, you know, what my offer or my client. their offer is relevant to what you're doing. It could help you and hopefully the offer is good enough saying, hey, we'll redo your website or we'll optimize your website and only pay if you get more sales out of it. That's the idea. That's a pretty straightforward standard claim table, but I just really wanted to share it with you. Hopefully we'll you some inspiration. If you have questions about any of the APIs that I use, data sources or anything else, let me know. And then as always, thanks for watching and hopefully see you in the next video. Bye -bye.

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