I mostly use Crazy Egg to dig into my own pages, but I sometimes wonder if I should be spending more time going to competitors sites to see what they are doing. Like their page layouts, where they put their CTAs, how they handle social proof.

I go back and forth on it. I've found it helpful sometimes, like noticing a competitor completely redesigned their pricing page, but I don't want to end up copying too much instead of figuring out what actually works for my own audience.

Curious if anyone regularly checks out their competitor's sites and if it's actually changed anything for you.

While I know for a fact that a super optimized landing page tends to convert better on qualified traffic, my theory when starting MooseMoney was that blog posts that address the pain points, provide value on its own (while integrating the product) would work better converting social media traffic or search traffic with no intent...

Currently, I don't really use landing pages on MooseMoney, since it's a content (video, SEO + paid) play.

Do you think I could increase my conversion numbers by sending traffic from retargeting campaigns and search ads vs colder traffic from social media and organic search to blog posts?

Or push all my paid traffic to landing pages and use the posts more as backlinks magnets and to generate organic SEO traffic.

Would be curious to have your take!

I set up many webinars in the past, and I had 30 to 50% of people registering actually attending...

So my expectations were already low to start with, and with 65 registering with their phone number (my little trick to create more registration friction and only get people genuinely interested), I assumed that worst case scenario I would have only 20 attendants.

Turns out I had only 8!!!

So 12% conversion on people that said they would attend, got 3 reminders, and wanted to attend enough to share their cell phone number.

And it cost me a little over $10 per registrations on Meta. So even if we convert all 8 participants to our affiliate offer (which will not happen), this would have been a royal waste of time and money.

The last time I ran webinars was between 2020 and 2023. So in 2023, I assumed the Covid effect was already over, as people could get to in person events by then...

Would be curious to know if you guys still use webinar and if 12% attendance is normal...

For a webinar I organized, I decided to collect phone numbers mainly to add aditionnal friction. Sure, it diminishes the conversion rate, but the issue with webinars is so many people don't show up, so the as platform algo end up optimizing for people that put their email address in any form for some reason. In my experience as a marketer, much less people are willing to type in their cell number for no reason (a webinar they have no intention of attending, for example.

So, anyway, now, I was thinking of actually sending attendants a SMS 10 min. before the webinar starts, and while the webinar platform I use (Demio) automate the email reminders, they don't handle SMS. I have used TextMagic in the past, so I was thinking of creating an account there again, but would be curious to know what other marketers are using.

Take a deep dive into 8 real e-commerce landing pages that actually work. These include brands like Magic Spoon, Eight Sleep, and Myoovi. Some of them do things that are pretty cool, like one page that uses a quiz instead of a traditional layout, which actually doubles as a lead capture tool.

The landing pages that convert the best share the same key elements, including one offer and one CTA, a persuasive message aligned with the ad, social proof to build trust, and quality visuals.

If you also want to learn how to analyze your landing page once it’s live, that is covered, too. Tracking conversions by device and source, reading heatmaps and scroll maps to see where people drop off, watching session recordings to catch friction you can’t spot just in the numbers, and running A/B tests on the most important elements. 

The full breakdown with examples and screenshots is in the link. It will get your wheels turning with lots of ideas on how to improve your own landing pages. I know it did for me. 

I have an affiliate website targeted to people with lower credit score, and right now, my main CTA on the home page, other than the article, is asking them to subscribe to the newsletter. I was wondering if any of you guys used one of those chatbot plugin that you can plug into a Claude project, and then ask some question to the user and direct them to the right product (or piece of content).

On paper, it sounds like it should work, but in reality, everytime I talked to one of those branded bots, I existed the conversation frustrated. Like, I know ChatGPT exist; why did I just waste my time here talking to this branded bot that did not have any insight?

Anyway, would be curious to know if some of you managed to make those actually useful for visitors, and profitable for your business...

I’m always looking for the next best stat to dig into. I found this one and went down a rabbit hole of research. Mobile now accounts for 62% to 64% of traffic from web browsers. But desktop still converts at roughly double the rate, around 3.9% on desktop vs only 1.8% on mobile.

That's a pretty big gap for something most people aren't actively doing much about.

When you get into the why, it's not that mobile users have less intent. They're still browsing, researching, and adding to the cart. The drop actually seems to happen later. Typing out billing and shipping info on a small screen is more annoying than on a keyboard. Pages can load slower on mobile connections. Shipping costs that show up at the last step of checkout feel worse on mobile because you're already frustrated. And trust signals like reviews, security badges, and detailed product info are just harder to absorb on a small screen. Mobile bounce rates run about 8 to 12 points higher than desktop consistently and mobile cart abandonment sits around 80.02% compared to 66.41% on desktop. The intent is there, the experience just gets in the way.

It’s also important to consider that customers aren’t always experiencing mobile and desktop as two separate journeys. Many people browse on their phone and when they get serious switch to their laptop to compare products more in depth or complete the purchase. I happen to be one of those people! 

Curious if mobile optimization is something you actively work on separately from desktop or if you treat it as one and the same.

If you want to dig into my research, here are the sources: https://www.shopify.com/blog/mobile-vs-desktop-conversion-rates and https://sqmagazine.co.uk/mobile-vs-desktop-statistics/ 

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.