Personalization
Present the right product, at the right time
Frankie offers a range of personalization options to best suit your store, your preferences and your customers, where ever they are in their shopping journey.
Recommendations for every place in your STore
Shoppers need different recommendations depending upon where they are in their shopping journey
Home page
Your Edit. We offer a personalized curated ‘Edit’ for each of your regular shoppers. This level of personalization significantly increases brand loyalty and engagement. You enjoy higher revisit rates and increased sales.
Best Sellers. For less frequent visitors, ‘Best Sellers’ and ‘Trending Now’ work best on the home page. These recommendations quickly evolve as the shopper engages with your store, to reflect what they’re shopping today.
Product page
You might like. You may also know this recommendation as ‘We think you’ll love’, ‘Customers also viewed’ or ‘Best Sellers’. These alternative item recommendations increase time on site and lead to higher conversion rates.
Complete the Look. You may also know this recommendation as ‘Goes well with’ or ‘Customers also bought’. These complementary item recommendations increase basket size and engagement.
Cart and Checkout
Upsell. When your customer gets to checkout, they’re in a buying mood. Use Cross-sell / Upsell recommendations to ensure your customer leaves your site with all the things they need for their wardrobe.
Customers also bought. You may also know this recommendation as ‘Goes well with’ or ‘Complete the Look’. These complementary item recommendations increase basket size and engagement.
Your Edit
Your Edit, is a collection personalized for each individual shopper. Shoppers are presented with items individually chosen to most likely be of interest to them, from the Collection you nominate.
Present Your Edit on the Home page to create a truly personalized shopping experience.
Increase engagement, conversion and results with Your Edit.
Better Alternative
'Better Alternative' recommends other products that the shopper is more likely to buy, than what they are viewing.
Better Alternative utilizes a mixture of identifying products that are similar combined with the shoppers tastes.
The best outcome is when your shopper ends up buying both.
Better Alternative produces great results on the Product page.
Most Popular
This is Popular Personalized. Much more than trending now, or a best sellers list, this recommendation takes into account each shoppers tastes, and recommends items that are most popular with people of similar tastes.
This recommendation aligns with the shoppers view on what their peer group views as being popular, acting like like positive peer group feedback.
Like every Frankie recommendation, Most Popular can be given the name that best suits your store. Trending now is also effective. Most Popular works well on the Home and 404 pages.
You may like
'You May Like' is a personalised handpicked list of recommendations for each shopper, thsat maximises engagement and conversion. It's strength is in it's personalization.
“70% of consumers in the US now expect personalisation from online businesses” – McKinsey Global Fashion Survey
'You May Like' is often very effective on the Home page typically presented as the fifth or sixth piece of content.
Cross-sell
Cross-sell or 'Also Bought' recommends complementary items at checkout, prompting the shopper with items they may not have considered, to ensure they have purchased all they need.
At checkout, the customers mindset has shifted to purchase. Cross-sell recommendations lead to an increase average order value.
Our studies reveal that for Fashion, visual data extracted from images has a higher influence on buying behaviour than traditional non-visual data sources.
Recently viewed
Recently viewed remains an effective tool in maintaining shopper engagement and higher conversion rates. Shoppers are presented selected items from their browsing experience, allowing them to seamlessly purchase when ready.
Recently viewed can be effective in several locations.
