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Feature highlight: Advanced Testing & Optimization

Feature highlight: Advanced Testing & Optimization Headshot

By Lucy Russell, Head of Product Management

Feature highlight: Advanced Testing & Optimization - featured image

Effective personalization isn’t a case of set and forget. It requires ongoing monitoring and fine-tuning to make sure you’re delivering content that resonates with your audience, converts shoppers into customers and continues to do so amidst fluctuating digital trends and consumer tastes. 

However, this can often be a time consuming process that requires a certain level of expertise, making it harder for time-pressed marketers. 

That’s where Fresh Relevance can help.

Taking advantage of the latest innovations in machine learning, our Advanced Testing and Optimization module allows you to intelligently optimize strategies for maximum ROI and to analyze the effectiveness of campaigns in Google Analytics.

Read on to learn more about the features included in our Testing & Optimization module and how they could benefit your business. 
 

Automatic optimization

Our automatic optimization feature has been developed in collaboration with the University of Portsmouth. The feature uses machine learning algorithms to automatically deploy the best-performing content, triggers or experiences towards the goals you set. You can optimize for many goals, including increasing AOV, conversion, identification rate, site visits, average time on site and reducing web bounce rate. This helps online businesses to get the maximum ROI from their content or triggers within the Fresh Relevance system.

With automatic optimization, you can:

1) Produce faster results

Automatic optimization produces faster results than A/B tests by capitalizing on user behavior and removing any delay in deploying the best content for maximum ROI. This is particularly useful for time-bound events, such as Black Friday.

2) Ensure relevancy

Automatic optimization ensures a highly relevant experience by identifying changes in content performance, for example based on weather, season or external events. It continues to recheck the performance of the initially less successful variations and - if it detects a noticeable increase in an item's performance - responds by serving this variation more frequently.

3) Resonate with each shopper

Automatic optimization provides you with peace of mind that the assets displayed to shoppers are the ones most likely to resonate with them and reward your business. 
 

Automatic A/B test ending

As part of our Testing & Optimization module, you can automatically end A/B tests based on a date or number of impressions and display the variant that generated the most revenue to everyone. This helps ease the burden from time-poor marketers and removes the risk of human error from the process of analyzing your campaigns and picking a winner. 
 

Enhanced reporting, with a Google Analytics option

This feature allows you to analyze test results with our enhanced reporting, including data for non clickable items, and/or send data directly to Google Analytics to enhance your dashboards and see the next steps taken by customers after interacting with Fresh Relevance content.
 

Learn more about this topic with our complete guide to testing and optimization and book a demo to find out how Fresh Relevance could help your business.

Feature highlight: Advanced Testing & Optimization Headshot

By Lucy Russell

Head of Product Management

As Head of Product Management at Fresh Relevance, Lucy works closely with our customers and the wider team to shape the product roadmap and oversees the roll-out of all new features.