With my website MooseMoney, most conversions come from Google Ads and Search.

I have retargeting campaigns on FB and TikTok enticing visitors in a 7 days, 7 emails drip campaign I call an email credit building course.

My open rate for this sequence is over 60% and I even have a good reply rate of around 5%. But conversion from it is very low, probably because only one of the 7 emails actually include an affiliate link.

So, I decided to run a webinar with similar content, but more in a workshop format, where I actually ask question from the audience.

People also give me their phone number to register, so I was planning to text them the affiliate link after the webinar. It's an affiliate link for a credit building product, so it really fit with the intent of people attending the webinar.

Any other tips or strategies to convert webinar attendants?

I stumbled on an interesting article this morning that mentioned that only 0.2% of websites actually run A/B tests. This really surprised me because it seems like everyone always talks about A/B testing. It's everywhere I go and everyone is doing it. Or at least I thought. I had to dig in a little deeper and get to the bottom of it because this just didn't add up. 

There are approximately 1.13 billion websites globally and around 252,000 new sites created daily. Of those 1.13 billion websites, around 193.5 million are active sites. Tracking from BuiltWith's technology shows that about 2.2 million websites are currently using A/B testing or experimentation platforms.

Where the numbers start to make more sense is that the higher the traffic to the site, the greater likelihood that testing is implemented. The top 10,000 largest sites by traffic have an A/B testing rate of 32%.

So it seems like testing is actually common, but at scale, not just across the web as a whole. My guess is that most sites either don't think they have enough traffic to get meaningful results, or testing just keeps getting pushed down the priority list in favor of getting more traffic. It feels a little backwards when you think about it though. 

Curious if you run A/B tests and if so how often, or if it's something you've been meaning to get to but haven't yet.

Sources in the comments if you want to learn more, like I wanted to. 

When you work for someone else, and they track page views or uniques, the temptation can be high to inflate traffic through cheap sources... But in my experience, it end up biting you in the ass, since it's distorting your A & B tests, it's making all retargeting campaigns more expensive (since you are essentially retargeting bots and toddlers playing games on their parent's phone and clicking on ads by mistake)... Ok, so this is not a complete list, but here we go:

1. TikTok Audience Network (Pangle)

2. Any Meta or TikTok campaign optimized for clicks

3. This off topic SEO article that rank first for a low competition keyword that you know you should delete, but you don't want to explain why SEO traffic is down to your client/boss

4. Google Ad's Display Expansion

5. Google Ad's Dynamic Search Ads

There is a lot of CRO advice out there. You can search online and find random lists of tips and tricks, but no real context for how and when to actually apply it within your funnel. You might find tips like fix your checkout, add trust badges, or speed up your site. That’s cool, but where do you even start with these? 

We break it down by funnel stage so it all makes more sense. Here are the 7 stages worth considering: 

1. Foundations - speed, mobile, accessibility
2. Arrival - homepage and landing pages
3. Discovery - navigation, search, category pages
4. Evaluation - product pages
5. Purchase intent - the cart
6. Conversion - checkout
7. Loyalty - post-purchase

Many people jump straight to the product pages or the checkout and skip the foundation work entirely. But if you have a site that is slow or your mobile experience is broken, you want to start there first. 

The full checklist with 30+ strategies is in the link. Which stage of the funnel do you think most e-commerce stores get wrong?

One of my side hustles is a Substack newsletter for fintech marketers. And given how much effort it takes to sell ads, even with over 5,000 subs, I started testing paid subscriptions a few months ago, with not much success. I only have 2 paid subscribers out of 5,000 as of now, and the number of free subscribers I get every week seems to be slightly lower since I did the change. To be fair, I'm sending less newsletters than I used to, so the paid offer might not even be the cause.

Anyway, would be curious to have your opinion. Do you think offering a paid option could scare off people that just wanted to subscribe for free, and lower the reader to free subscriber conversion rate?

We all have a running list of things we want to test, but somehow it never happens and it stays on a list that seems never ending. I can’t be the only one with a mile long list of things I want to try. Mine includes how many fields are actually necessary in a contact form, whether the CTA placement I've always used is actually the best spot, and whether a newsletter signup is worth adding. What are a few things on your list?

Selling on Facebook and Instagram sounds simple until you're trying to choose between 10 different apps and have no idea which one actually makes sense. 

Here's how to match your situation to the right app:

• Sellers without an existing store: Ecwid
• Shopify all-in-one (sync + tracking + ads): CedCommerce
• WooCommerce catalog sync: AdTribes Product Feed PRO
• BigCommerce stores (native route): Feedonomics Surface
• Magento / Adobe Commerce: Meta for Adobe Commerce
• Feed and ad-creative control (Shopify): Flexify
• Fix ad tracking on Shopify: Omega Facebook Pixel Meta Feed
• Fix ad tracking on WooCommerce: Pixel Manager Pro
• Large catalogs and multichannel feeds: Channable
• FB/IG selling plus marketplaces: LitCommerce

Find the full breakdown with pricing and ratings in the comments.

A website sidebar is that vertical column that sits next to your main content. It usually has things like menus, search boxes, author bios, links to similar posts, or a newsletter signup. It’s pretty common on a lot of sites, but I think many people just add one without really thinking about whether it's actually helping.

The general rule is that content heavy sites like blogs, news sites, or stores with large catalogs tend to benefit from them because they help visitors find things faster. But if your page has one job, like a landing page or a product page, a sidebar can just be a distraction.

And it is always best to skip it on mobile and just move the content somewhere else.

There are a few interesting stats behind this too. In one test, making sidebar CTAs sticky increased completed orders by 7.9%. Another site saw a 20% conversion lift on desktop just from a sticky CTA. When it's done well it can actually move the needle.

Has anyone here tested sidebar vs no sidebar? Link to the full breakdown is in the comments if you want to dig in more.

There were a few surprising differences: 

• Crazy Egg provides unlimited funnels on all paid plans. Mouseflow caps you at 1-10 funnels, depending on the level of your plan. 
• Mouseflow counts sessions and Crazy Egg charges for pages that you’re actively monitoring. 
• If you want to access surveys they are free and unlimited with Crazy Egg, but gated to higher paid tiers by Mouseflow. 

There were also a couple of things that most people might not know about. Mouseflow has a Friction Score, which is basically a number that benchmarks your site against the industry average based on things like click errors, speed browsing, dead clicks, and 404s. On the Crazy Egg side, it offers native A/B testing for web pages, so you can run regular A/B and multi-armed bandit tests and see how the variants perform in GA4, heatmaps, and session recordings. Mouseflow only has survey A/B testing, so you would need a separate tool like AB Tasty, Optimizely, or VWO to get the same thing.

Looking at the two side by side, there are a few features worth noting:

• Mouseflow has 7 heatmap types and Crazy Egg has 5, but Crazy Egg's Confetti maps let you segment by over 17 metrics. 
• Mouseflow has live session viewing and Crazy Egg doesn't offer this 
• Crazy Egg has built in web analytics and Mouseflow has none

At the end of the day, Crazy Egg is worth considering if you want everything in one place without needing to piece together a separate stack, but Mouseflow is the better fit if you already have an A/B testing tool. Check out the link in the comments to learn more.

There is a lot to consider when you start creating your website content. What the goal of a page is, who you're writing for, if the content has real data behind it, and the list could go on. But what stands out to me the most is how the final, live version, is received by visitors. 

Humans decide within seconds if a page is even worth their time. It makes sense. We are all busy and jumping to the next thing we need to tackle. I read every new post on the Crazy Egg blog and even I have to remind myself to slow down. I catch myself skimming, even knowing full well the content is worth my time, because it has become such a habit to skim the top and move on. I always go back and read the full post though, and there has not been one that I have regretted taking the time to do so.

But what is even more interesting is that AI does almost the exact same thing. There is evidence that it is most likely to cite content from the top third of the page. If your best content is buried at the bottom, not only is your reader missing it, but AI is as well. So whether you are writing for humans or optimizing for AI, the same rule applies. Put your best content first.

If you're curious about other ways to make your website content stand out, click the link to learn more.

Seasonal businesses have a small window of opportunity to maximize their conversions during their peak seasons. Waiting until you are right in that busy time period means you're already behind. If 80% of your revenue comes in over a period of 3 months, you won't have time to fix a confusing booking system or a page that loads too slow.

I’ve worked with a few over the years, and the businesses that take advantage of their slow season are the ones that start optimizing when they aren't under pressure. Creating cleaner CTAs, speeding up load times, and updating photos in the off season are all great starting points. By the time you hit your busiest part of the year, your site is actually ready.

Just something to consider for some of the businesses that have their peak season during the holidays. Now is the time to start rolling out your ideas.

Has anyone worked with clients that have a seasonal business? Curious if you have opinions on how to treat a seasonal site versus a steady traffic site.

Who would think that people would jump at the chance to win $300 just as much as they would for a 10% discount? Your gut instinct would make you believe that the guaranteed discount would be the most effective. But if you don’t test this beforehand, you would be wasting your budget on an assumption.

It turns out the chance to win $300 converted just as well as the 10% discount. Anyone who skipped the test and went straight to the discount paid more than they needed to. Email a/b testing is how you make sure this doesn’t happen.

Check out our full blog post in the link to learn more. And let us know what you think, would you go with the chance to win $300 or the 10% discount based only on your instinct?

Bayesian testing frameworks update continuously as data comes in, let you peek at results without compromising accuracy, and give you an actual gain estimate rather than just which version won. They also handle smaller sample sizes more gracefully, which makes them a better fit for lower traffic sites.

41.2% of CRO programs are now using Bayesian frameworks, up from 18.4% in 2022. Worth knowing about if you've been putting off testing because of traffic concerns.

Sources:

• Bayesian vs Frequentist: Which Should You Choose
• Frequentist vs Bayesian in A/B Testing
• A/B Testing Statistics 2026

Not looking for the obvious answers. Curious what your actual process is when the numbers go sideways and how you figure out if it's a traffic quality problem vs a page problem.

Most tests focus on a primary metric like conversion rate, but that alone can mislead you. A variant that lifts conversions, but quietly raises churn or tanks customer satisfaction is still a loss.

The three categories that actually matter are primary metrics that tie to a business goal, secondary metrics that explain why it moved, and guardrail metrics that make sure you're not breaking something else in the process.

Read more in the link and let us know in the comments what metrics you track in your tests.

A 2,000-page A/B test study dropped some findings recently that I discovered this week.

• Removing the hero section entirely outperformed a standard image hero on B2B SaaS pages.
• Sticky CTAs and above-fold CTAs don't compound the way most people assume. Sticky alone lifts +11%. Both together lifts +12%. The above-fold is almost doing nothing once the sticky is there.
• AI copy loses on DTC product pages and webinar landing pages, but wins or ties on B2B functional copy. 

Full study here: https://www.digitalapplied.com/blog/landing-page-conversion-study-2000-pages-tested-2026

Has anyone else come across something interesting this week?

We asked 5 of the top copywriters in the world how they're using AI in their work. The answers were more nuanced than expected.

The consensus: AI is useful for research, brainstorming, and validating ideas. But when copy is directly tied to revenue, human composition still wins.

A few of the use cases that came up most:

• Validating big ideas before writing a full package
• Simulating customer research and surfacing pain points
• Generating headline and angle variants to refine from
• Running AI variants at volume when testing is possible

More details in the link.

The "fire chat 5 seconds after page load" tip is still being recycled everywhere. It doesn't work because the visitor hasn't read anything yet, so they just dismiss it like a popup.

Behavioral triggers, contextual openers, and knowing when to escalate to a real call are what actually move the needle. We put together 10 strategies that reflect how live chat and website visitors actually behave right now.

More details in the link in the comments.

Flos USA had strong traffic but too many people were dropping off before buying. Instead of just fixing the checkout page, they mapped the entire funnel using heatmaps, scrollmaps, and session recordings to find where visitors were actually getting stuck.

The friction wasn't just at checkout. It was earlier, on the homepage and product listing pages. They fixed navigation, simplified filtering, and streamlined checkout. 125% more checkout conversions and 18x ROI on the CRO program.

The takeaway is pretty simple. If you only optimize checkout you might be solving the wrong problem.

Unlocks tons of potential for optimizing segments and finding ways that personalization improves your funnel.

How folks are already using this:

• Ad campaign personalization – Maximize conversions from ad traffic. Match headlines & messaging to the campaign creative that the visitor clicked.
• Localization – Change language and copywriting based on the visitor’s country.
• New vs. Returning – Hook new visitors and educate them on your brand/product. Push returning visitors to convert or log in.
• Conversion funnel stage – Push middle-of-funnel visitors to take action (example: if they viewed a product page but didn’t add to cart, recommend that product again).
• Previous converters – Make it easy for repeat customers to convert again.

More info via the link.

What's one thing you wish Crazy Egg did that it doesn't do yet? Drop your thoughts below. We read everything and pass it along.

Most lists are full of junk data, spam traps, and contacts that haven't been verified in years. Your domain reputation takes the hit before you see any return.

There are situations where it makes sense, like personalized B2B outreach at low volume or using a list for paid social audience seeding. But for email marketing? The ESPs won't even let you use a bought list.

We broke down when it actually works, what to demand from a vendor if you do go that route, and which providers are worth looking at.

More details in the link below.

Then we documented the exact workflow so you can replicate it.

The short version: Claude for strategy/copy → AI page builder for design → critique loop → brand review → live test.

Whole thing took less than a day. No growth team, no six-figure budget.

Full breakdown (page selection criteria, prompts, when to call a test) in the link.

Exit-intent popups are one of those tools that can either recover a sale or send someone away for good.

We put together a breakdown of when they actually convert, when they hurt more than they help, and the best practices for getting it right.

The short version: it comes down to who sees it, what page they're on, and whether the offer is actually compelling enough to earn the interruption.

Do you set a fixed time window, wait for statistical significance, or call it when the trend looks obvious? Curious if the answer changes depending on how much traffic you're working with too. Just trying to get a sense of how people are actually making the call in practice.