Conversion Sciences

Conversion Rate Optimization (CRO) and?Search Engine Optimization?(SEO) are often seen as separate entities. But there’s a surprising amount of overlap between the two: Both aim to improve user experience (UX) and deliver great content, ultimately leading to higher engagement and conversions. Brian Massey and Joel Harvey had a conversation about this. You should evesdrop. #conversionsciences

Customer Research and Optimization (CRO) is not synonymous with A/B testing. There are many ways to optimize your website to increase conversion rates. How many? This many... #conversionsciences #cro #websitedesign

What are your visitors understanding from the copy on your landing page? It's hard to get feedback if you're selling something that requires knowledge of your product or industry. Until now. See how we literally heard what our landing pages are saying to our visitors. #conversionsciences #conversionscientist

Marketing Metrics Explained… IMPRESSIONS = People who probably didn't see your ad ?? You can lead them to water, but you can’t make them drink. CLICKS = People whose left mouse button works ?? They can click, but can they give you their attention? VISITS = Everyone! ?? Hooray! They found us! BOUNCES = The wrong people ?? The digital trampoline of disappointment. ABANDONS = The wrong user experience ?? A clear sign something is off. CONVERSIONS = The right people and the right user experience ?? Everyone wins! This may sound skeptical, but this is what we are up against. You need BOTH the right traffic and the right landing experience. #MarketingMetrics #conversionsciences

Expectation: Visitors will read every word on our beautifully crafted landing page. Reality: Visitors only read what's relevant or interesting! They scan your page like a picture book. Focus messaging on what is unique, and use design to make it stand out. #cro #conversionsciences

If you are going to be a successful digital marketer, you are going to be an experimenter. Your ability to use the tools and data of the trade will determine your future in a data-driven marketing economy. What’s your comfort level with experimenting? A: None. I like to know the outcome before I implement a change. B: Some. I do the odd experiment, but I know I could do better. C: Very comfortable. I love testing new ideas, and I see failure as an opportunity. #conversionsciences #digitalmarketing

The things that fundamentally improve your SEO are also the things that fundamentally help you to improve your conversion rate. SEO drives traffic. CRO helps you do something with that traffic. Together, they can make a huge impact on your website’s performance. What are you doing to optimize the traffic you’re driving to your website? #conversionsciences #cro

Contrary to popular belief, A/B testing isn’t just for website elements. It can be applied across various channels: - Email campaigns: Test subject lines, content, and CTAs. - Ad campaigns: Experiment with visuals and copy. - Products: Test new features, positioning, and pricing. - Offers: Can you use bundles, discounts, free shipping, or payment plans to increase sales? Almost any question you might ask a prospect in person can be presented on your website as an experiment. #CRO #ABTesting #conversionsciences

You don’t need to be a mathematician to run effective AB tests, but you do need a solid understanding of the statistics behind split testing. An AB test is an example of statistical hypothesis testing: 1. A hypothesis is made about the relationship between two data sets. 2. Those data sets are then compared against each other to determine if there is a statistically significant relationship or not. To put this in more practical terms, a prediction is made that Page Variation B will perform better than Page Variation A. Then we try to prove our prediction wrong. The data sets from both pages are observed and compared to determine if Page Variation B is a statistically significant improvement over Page Variation A. The statistics answer the question, If we performed this test again, would we expect Page Variation B to win again? That seems fairly straightforward, so where does it get complicated? The complexities arrive in all the ways a given “sample” can inaccurately represent the overall “population.” That’s why you need to ensure the sample can accurately represent the population. BTW, this is why you need a Conversion Scientist? running your AB tests. We live for data. #conversionsciences #abtesting #revenuegrowth