The world’s best archive of content on conversion optimization and online experimentation (A/B, MVT, bandit, AI etc).
ChatGPT is able to answer lots of difficult questions. It’s (mostly) available 24/7. It’s disruptive and could potentially become your best employee.
This raises some other difficult questions. Will the skills you’re learning today be obsolete by tomorrow if AI can do it better? Are chatbots going to steal marketers, writers, and developers’ jobs?
A/B testing is no longer a new field. Finding a proper A/B testing tool isn’t the problem anymore. Now, the problem is choosing the right one.
Google has announced that it will shut down Google Optimize in September 2023, putting an end to one of the most used A/B testing tools ever.
Your brand’s value proposition is a promise of value to be delivered. It’s the primary reason a prospect should buy from you.
It’s also the #1 thing that determines whether people will bother reading more about your product or hit the back button. On your site, your value proposition is the main thing you need to test—if you get it right, it will be a huge boost.
We are always striving to boost conversion rates and encourage users to engage more.
Forward-looking businesses are using social login, also known as social sign-on, to do just that.
For the uninitiated, social login allows users to access websites using their existing social account IDs, such as Facebook, Twitter, and LinkedIn.
A/B testing splits traffic 50/50 between a control and a variation. A/B split testing is a new term for an old technique—controlled experimentation.
Yet for all the content out there about it, people still test the wrong things and run A/B tests incorrectly.
More than 60% of marketers use 20+ marketing tools on a regular basis according to Airtable. For email marketing alone, more than half of small businesses use two or more tools according to Litmus.
On top of this, the number of sales and marketing tools each company uses is forecasted to continue to increase rapidly as the number of available tools and the amount of customer data grows.
At the same time, according to Mulesoft, only 28% of tools a company uses are integrated with other tools. More tools, more data, but limited integration—can you spot the issue here?
CXL Live 2022 was a blast. Over 300 old and new faces flew to Austin to spend two days full of networking and talks on growth and experimentation. Add to that breakfast tacos, a lot of beer, and three parties.
Even though the Austin weather had some surprises in store for us, the tremendous effort to organize CXL Live pulled off the event through a (literal) storm and frenzy.
This conference focused on relationship building, and a lot of work was put into creating curated groups to have fruitful round table discussions with like-minded peers. However, that’s not to say content doesn’t matter.
It does, and we brought world-class marketers to deliver keynotes full of value on growth and experimentation. These are the highlights of each one.
You’ve acquired a ton of customers lately for your company. On the surface, this is awesome. More customers, more money. So you throw your energy into your customer funnel.
However, soon after sign-up, they seem to fly right out the back door.
Why is this happening? Why do customers leave—or use the service less—often without saying anything? What you’re experiencing is customer churn.
When should you use bandit tests, and when is A/B/n testing best?
Though there are some strong proponents (and opponents) of bandit testing, there are certain use cases where bandit testing may be optimal. Question is, when?
At a certain point, the results from your A/B testing will likely slow down. Even after dozens of small iterations, the needle just won’t move.
Reaching diminishing returns, is never fun. But what exactly does that mean? In most cases, you’re probably hit a local maximum.
So the question is, what do you do now?