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Customers who are familiar with your brand are always looking for new ways to interact with your website and product catalog. Your best customers want to keep up with your latest trends, new product releases, and the most relevant and exciting parts of your product catalog. Evergage’s machine-learning algorithms can act as a personal shopper for your customers, leveraging their Unified Customer Profile to recommend a wide variety of different products using varying algorithms. Design a “My Store” page, with a link on your nav bar, to put personalized recommendations in front of them. This is a great way to assist in product discovery, surface new and relevant products, and most importantly delight your customers!
Create segments so you can target different groups like first time and returning visitors as well as logged in and anonymous visitors.
An increase in conversion rate and revenue per user are measurements of success for this play.
Here is a checklist of what you need to do in Evergage to create this play on your own site:
Use the Visual Editor to add a new element to your nav bar -- “My [website name]”
Configure this page on your website, then work with your Evergage Customer Success Manager to map it as an Action titled “My Store”. Have your new nav bar element click through to this action
Determine the number of Recommendation messages (strategies) you want to show. Some suggestions for messaging | algorithms are
“Top Sellers” | Trending
“Recommended for You” | Collaborative Filtering (with Category/Gender Boosters)
“Because You Bought” | Co-Buy or Co-Browse anchored to last purchase
“Recently Viewed” | Recently Viewed
“Complete the Look” | SmartBundle anchored to items in the cart
Create recipes for your desired strategies (work with your Customer Success Manager to fine-tune the ingredients, exclusions, and boosters)
Create a campaign with 2 Experiences
First Time Visitor vs. Returning Visitor
Anonymous Vs. Logged In (be sure to use the dynamic parameter “customer name” to personalize the landing page -- “Hello Rachel, welcome to your personal shopper”)
Use Campaign Rules to target the campaign to the “My Store” action
Insert messages into your experience with your desired titles for each zone. Be sure that the zone title reflects the content of the zone -- for example, don’t use “Because You Bought” or “Recently Viewed” messaging and algorithms for a first-time visitor
Include an Item Block with your desired item template, number of recommendations, and appropriate recipe
Be sure to select the “Omit Recommended Items Already Shown in Other Messages” on in the Promoted Content section of the message for EACH message
Choose Rule-Based in the “Setup” menu under “Experiences”. Then create Target User rules to target the appropriate experience to your desired segments
Test your campaign and recipes thoroughly, then publish both the recipe and campaign when you’re ready to go live
The following articles from the Evergage Knowledge Base will provide process steps to help you execute this play: