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Conversion Rate Optimization & A/B Testing

Conversion rate optimization (CRO) and A/B testing help you get the most out of your website and digital strategies.

Increase your ROI with conversion rate optimization.

Conversion rate optimization is the process of creating the most efficient path for a visitor to take a desired action on your website, like signing up for a free trial, filling out a contact form, or ultimately converting into a customer. 

If you are investing in any kind of strategy to drive visitors to your website, you want to be sure you make the most of that traffic by delivering the best experience possible. Improving conversion rate maximizes those existing efforts and ultimately creates revenue.

Through website analytics and insights into customer behavior, we identify what to optimize and where in order to drive higher performance on your website and improve ROI.

Quantitative Data Analysis

Quantitative data connects the dots between the efforts that are working and identifies where there is room for optimizing. Using analytics tools, we set up reporting for the different conversions on your site. Our strategy team monitors the success of conversions and analyzes additional information like landing page bounce rates, what pages users are converting on, or where they are falling out of the funnel. Quantitative data provides a roadmap for additional testing opportunities. 

Qualitative Data Analysis

Qualitative data is more subjective and comes directly from your users via heat maps or session recordings. This kind of data might tell you why a user engaged or identify points or friction or confusion that are hard to measure simply through tracking engagement goals. Qualitative data provides a better understanding of the "why" behind user behavior.

A/B Testing

A/B testing allows us to put our hypotheses to the test to determine what is working and what is not. An A/B test measures a user’s current experience against a new variation containing different elements like headlines, colors, or calls to action. By continually running these kinds of tests, we learn what users like and dislike and tailor their experience accordingly.

Statistically significant A/B test results prove that changes are working and improving conversion rate. Information from A/B tests can also be used to inform paid ads, social posts, and email marketing, ultimately making sure your other user engagement channels work together more effectively and efficiently.

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