We believe that the best product rankings come from real customer behavior. When Elevate has enough behavioral data, it automatically ranks products in a way that has proven to drive the most sales for a specific context. However, there are situations where Elevate doesn’t yet have enough behavioral data — for example, with new products, niche categories, or specific campaigns. That’s where boosting comes in. Boosting allows you to guide the system by giving additional input, helping Elevate understand which products deserve extra visibility based on your strategic goals.
Key use cases:
- Boost upcoming external campaigns
- Boost specific products to improve stock clearance
- Boost certain products to increase exposure when closing deals with suppliers
How does boosting products affect my site?
Within most algorithms, the sales figures of a product is taken into consideration when determining its rank. The Voyado Elevate driven functions on your site that supports the boost functionality will, during the lifespan of being boosted, temporarily increase the sales figures of every boosted product.
This allows for a smooth push in different contexts, compatible with other ranking aspects of algorithms such as trend sensitivity and matching conditions. Products being boosted will gain positions in search results, category pages and other locations where boosting is supported. Original sales figures for the product, phrase matching in search and different trends will however still affect the ranking.
Furthermore, in the recommendation functions that support the bost functionality, the relations between the input product and the products being boosted will be amplified.
Which features support boosted products?
Boosted products are fully utilized in:
- Product lists, normally used on category pages, when using relevance or sales as sort order
- Search hits, when using relevance or sales as sort order
- Recommend based on product
Boosted products is partially utilized in:
- Product lists, normally used on category pages, when using personal as sort order
- Autocomplete
- Did-you-mean
- Product suggestions
Functions that partially utilize boosting use product boosting on product backfill.
What happens if you boost a product twice?
Products will be boosted using the highest available boost level for that product.
Why does boosting products not have a visible effect?
- If the products being boosted is allowed to measure its impact, one possibility is that your current session has been selected as one of the sessions where the boost will be inactive. Try turning off measure impact temporarily for verification.
- Boosted products is only impacted in the search and product list functions.
- Boosted products only have effect with the sort orders relevance, sales and personal. Products that is actively being boosted will for example not have effect within an alphabetically sorted category page or a page sorted by price. Ensure that the correct sort order is used.
- The boost level might be too low to yield any visible effect due to a great difference in sales figures between the products being boosted and other products. Try increasing the boost level.
- Too many boosted products might be in effect. If e.g. all boosted products on a category page are in effect with an equal boost level, there will be no visible effect since their relative positioning will remain within each boost level.
- The boosted products are at the same time being effected by a bury. If a product or variant is part of both a boost and a bury at the same time, the boost level from the bury has the highest priority and will be used.
Why can't I boost even more products?
There is a limit of 100 active boost actions per market at any given time. This limit refers to the number of boost entries, not the number of products included in each boost. You can include many products in a single boost, and there’s no technical limit on the total number of products being boosted — only on the number of active boost actions running simultaneously.
If you've reached the limit, review your scheduled boosts and check if any of them can be removed or rescheduled.
If the same product is included in multiple active boost actions, Elevate will only apply the highest boost value for that product. All other overlapping boosts for that product will be ignored.
What do the statistics for boosted products show? (Elevate 3)
The top row of statistics shows the aggregated number of interactions on any product being actively boosted. For example, boosted products P1, P2, and P3, would increase the number of displays with 3 on a page load where all three products are displayed. If the page was loaded once more in the session, the number of displays would be increased by three yet again. The same principle applies to clicks and sold units.
If Voyado Elevate is allowed to measure impact, the second row will show the impact of the boosted products. This means that it will show how much more interaction for each metric the boost has contributed to. Normally these figures are positive, they can however be negative in cases where not much data have been gathered. For example, a Estimated Effect of 67% in displays means that the visibility of products being boosted has increased 67%.
What do the statistics for boosted products show? (Elevate 4)
If Elevate is allowed to track impact, the BOOSTED column shows the statistics for boosted products. The CONTROL GROUP column shows the statistics for non boosted products. The ESTIMATED EFFECT column shows the impact of the boost using the difference between the first two columns.
For example, if the Estimated Effect for Displays is +67%, it means that the visibility of boosted products has increased with 67%, compared to non boosted products.
Normally the figures in the ESTIMATED EFFECT column are positive, but they can be negative in cases where not enough data has been gathered.
How is the Estimated Effect calculated? (Elevate 4)
The formula used to calculate Estimated Effect
Example
What does the yellow highlight mean? (Elevate 4)
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