Why use product recommendations?
Splio allows you to easily integrate personalized and dynamic product recommendations into your email designs to:
Improve the customer experience,
Increase the visibility of your product catalog,
Boost your performance: campaign KPIs, repeat purchases, average order value, loyalty…
Save time and improve your productivity.
Data and prerequisites
1️⃣ Create your recommendation
Access the product recommendations configuration page in Splio settings .
To create a recommendation, enter its name , add a description if needed, then choose your strategy type:
Personalized: A personalized product selection based on your customers' purchases, profile, and browsing data (if available). We recommend using this strategy by default.
Profile-based trends: a selection of the most popular products based on the age and gender of your customers.
Best sellers: the most popular products.
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Select a subset of products for your product recommendation
❓ You can limit the products selected in the recommendation to specific subsets of your catalog . To do this, first create a product filter (follow the guide below).
You will be able to select existing product filters when creating the product recommendation.
👉🏼 Next, select the number of products you want to present to your customers in the design.
Check the status of a product recommendation
Access the product recommendation management page
Locate the desired recommendation in the list.
See the Status column
The possible statuses are:
In progress : the recommendation is being calculated
Ready : the recommendation is calculated and can be used
Failure : the recommendation could not be calculated, for example due to an overly restrictive filter.
2️⃣ Add a product recommendation block to an email design
Open your email design in the Splio designer, then add a product block
Next, select the product recommendation as your data source.
Choose the number of products to display and the product information to show in the block, such as the product name, image, price, link to the product page, or any other available custom field.
You can also add display conditions to show the block only in certain cases, for example when the necessary data is available for the contact.
Once the configuration is validated, customize the block's appearance directly in the designer: layout, colors, buttons, text, links, and spacing.
3️⃣ See the recommendations for contact
To check what recommendations are made to a given contact, two solutions are possible:
1️⃣ Using rendering simulation on a design containing a product recommendation line, with the contact whose recommendations you want to see.
2️⃣ Go to the contact page for which you want to see today's recommendations and check the custom fields related to the product recommendation.
Product Recommendations FAQ
Q: Can I filter for products with low stock? How do I do that?
A: Yes. It is possible to filter for products that are out of stock or have limited stock. We recommend adding a stock condition to the product filter used as a sub-catalog.
Q: If a newsletter with product recommendations is sent today and another is sent in a month, will the recommended products be different?
A: Yes. Product recommendations are recalculated daily and may change from day to day. Therefore, the recommended products may be the same or different depending on the data available at the time of calculation.
Q: Is it possible to filter product recommendations based on a product field?
A: Yes. Each condition available in the product filter can be used to refine a product recommendation. For example, for a Black Friday campaign, you can display only products where the promo_id_1 = BLACKFRIDAY .
Q: Is it possible to place a product recommendation block within a conditional block in a design?
A: Yes. You can add conditions around a product recommendation block to display it only to certain recipients.
Q: Can product recommendations use web tracking? Is this information mandatory?
A: Yes. The personalized product recommendation strategy can leverage web tracking data. However, this data is not required for the recommendation to work.
Q: How often are product recommendations calculated?
A: Product recommendations are recalculated once a day.