Boost is a way to temporarily increase the strategy score of selected products in a market. It is useful for highlighting upcoming external campaigns, stock clearances, or to push certain brands or types of products. Boosted products will gain a better position in search results, category pages, and other locations where boosting is supported. Boosting is managed in the Business application area.
Before a boost can be created, the Admin application area must be fully configured. Access to the Boost tab is set in Admin > User management on a per-user basis.
Boost basics
Each boost is identified by a name and has a start and end time, and is active in one or more markets. The time setting enables users to schedule boosts to start or end at out-of-office hours. The maximum length of a boost name is 50 characters.
A boost level is set to determine how the selected products will be boosted. Statistics are collected during the boosting period and can be measured.
Avoid having many active boost or bury tasks at the same time. Too many concurrent tasks are likely to result in unintended outcomes that require significant manual effort to correct.
Boost level
Boosts can have one of three levels: low, medium, or high.
- Low: The strategy score of each boosted product is adjusted to be higher than approximately 90% of the products that currently have a higher strategy score.
- Medium: The strategy score of each boosted product is adjusted to be higher than approximately 99% of the products that currently have a higher strategy score.
- High: The strategy score of each boosted product is adjusted to be higher than all products that are not boosted.
Markets
A boost task can be active in one or more markets at the same time. The selected products of the boost are based on the products present in the current market in the Elevate application areas.
Selecting products
Products used in a boost can be either handpicked or included (or excluded) by rules. For more information, see Product selection.
Restricting boosting to pages
Boosting can be restricted to only be active on selected pages. The available pages are defined in the Category & Landing pages tab of the Experience application area. The Related option shows only pages where the selected products are present, while the All option also shows pages where the selected products are not present.
Selecting a page automatically includes all sub-pages of the selected page. Holding Shift and selecting a page with sub-pages selects only the main page. Sub-pages can be individually selected and deselected in the interface.
Restricting boosting by tag
Boost by tag lets you apply predefined boosts to landing pages and category pages by passing a matching tag value to Elevate.
This can be used to tailor product listings for campaign traffic, audience segments, A/B tests, or other external context. For example, if a visitor lands on a category page from a URL containing utm_campaign=tiktok_summer, your integration can read the campaign value and send tiktok_summer with the request to Elevate. If a boost with the same tag name exists, that boost will be applied to the product listing.
Restricting boosting to audiences
When Voyado Elevate is integrated with Voyado Engage, boosting can be restricted to target predefined audiences from Voyado Engage. Audiences are created in Engage, not in Elevate. For information about audiences and segmentation in Engage, see Getting started with the filtering tool.
Statistics and effects of a boost
During a boost period, aggregated statistics are collected for displays, clicks, sold units, revenue, and profit of all boosted products. Revenue and profit are shown in the currency configured for the current market.
If Track impact of boost is enabled for your boost, you can see the effects of the boost in the Estimated Effect column.
The Boosted Group column shows statistics for boosted products. The Control Group column shows statistics for normal (non-boosted) products. The Estimated Effect column shows the impact of the boost using the difference between the first two columns.
Example: an Estimated Effect of 67% in displays means that the visibility of products in the boosted group has increased 67% compared to products that are not boosted (those in the control group). Read more about the calculation in the Boost FAQ.
Figures in the Estimated Effect column are normally positive, but can be negative when not enough data has been gathered.
To accurately measure the impact and Estimated Effects on Sold units, Revenue, and Profit, at least 500 sold units are needed in the control group (non-boosted products). This threshold ensures that the data is reliable and any observed changes are statistically significant. If there isn't sufficient data to calculate the effect, rows will be highlighted in yellow with an exclamation mark icon.
When restricting boost actions to audiences, the impact is only measured within the selected audiences.
Use cases
The key use cases for boosting include managing stock levels and boosting seasonal products.
Primary lists and recommendation lists
Primary lists and recommendation lists can utilize boosting. Primary lists fully utilize boosting when using the RELEVANCE sort order. Recommendation lists fully utilize boosting when using the TOP_PRODUCTS algorithm, and partially utilize boosting — for example on product backfill — for the other recommendation algorithms.
Best practices
- Do not use multiple include rules with the same attribute and different values within a rule set — instead use one include rule with one attribute and multiple values.
- Include a rule to only show products in stock, unless boosting pre-orders or upcoming releases.
- Use rules for inclusion before rules for exclusion in a rule set.
Duplicate a boost
To repeat a boost similar to a previously created one, use the Duplicate functionality. An editor for a new boost will open with all the settings of the original boost applied, ready to be adjusted if necessary. The statistics for the new copy will be reset and start from a clean slate.
Viewing creator and editor information on boost cards
Boost cards include attribution details to help users understand who created a card, who last edited it, and when those changes occurred. This improves transparency and makes it easier for teams to manage and review campaign configurations.
What you can see
- Creator — The user who originally created the card.
- Most recent editor — The last user who made changes to the card.
- Timestamps — The date and time when the card was created and last updated.
Frequently asked questions
Visit the Boost FAQ for answers to the most common questions.