The SEO game is changing. Long gone are the days when all it took to rank on Page 1 was a good keyword choice and a few backlinks.
Google’s search results are becoming so much more than 10 blue links, in part because those links are now richer and more interactive—and sending fewer clicks to sites.
A new concept is replacing the traditional SEO approach. Instead of monitoring and improving organic rankings alone, you need to embrace a more integrated strategy: on-SERP SEO.
Every marketing team needs fresh content ideas.
Maybe you’ve been producing content on the same subject for so long that your idea well has run dry.
For a long time, I considered standard Google Analytics reports to be the best way to get useful insights. From time to time, I struggled with sampling, limitations, and weird results, but I didn’t see a way around it—until I discovered Google Analytics 360 and raw data exports into Google BigQuery.
After a few hours playing around with SQL, I was already able to deliver insights I never could have with aggregated Google Analytics reports. Since that day, I’ve been exploring how raw data can be a web analyst’s best friend.
Raise your hand if you’ve ever struggled with a decision between disciplined testing procedures and expedient decision-making.
For example, think of a time when you’ve had to decide between sticking to your A/B test design—namely, the prescribed sample size—and making a decision using what appears to be obvious, or at least very telling, test data. If your arm is waving vigorously in the air right now, this post is for you. Also, put it down and stop being weird.
AMP for email is, at this point, a trend. Will it become a standard practice?
Sites that don’t work, don’t convert.
That’s why optimizers conduct quality assurance on sites, landing pages, test treatments, email campaigns, you name it—to make sure they work the way they’re supposed to.
While it’s common knowledge that quality assurance is something you should do, not enough optimizers complete it properly. If they did, there wouldn’t be so many sites that just plain don’t work.
At some point, personalization may seem like a good next step to level up CRO efforts. But companies—if and when personalization does make sense—often try to use algorithms immediately, relying on AI and machine learning to create personalized experiences.
Many also get started with marketing tools that have data collection and AI built-in, resulting in a fragmented experience for the customer and suboptimal results for the company.
You know that feeling in the pit of your stomach when you get a calendar invite for an all-hands meeting—with no warning or context? I got one of those in 2018, mere months after I started at data.world as their first growth marketing and demand generation hire.
What happens when a marketing generalist asks a team of CRO experts for ideas on “low-hanging fruit” or “quick wins”?
Digital advertising relies on serving the right ad to the right audience in real time. The better we get at that, the better we do—that’s the industry mantra, and for a reason.
We’ve witnessed vast improvements in the volume and accuracy of customer data, and worked in increasingly sophisticated ad platforms.
Machine learning and AI improve the ability to recognize patterns and pull the right responses from a database. Anyone who doesn’t learn to use the AI features of ad platforms now will be left behind. Many already have been.