Working with Promotions¶
Promotions is a method to temporarily boost the strategy score of selected products and variants in a market. It is useful for use cases such as promotions of upcoming external campaigns, stock clearance of specific products, or promoting certain brands or type of products. Boosted products and variants will gain positions in search results, category pages, and other locations where promotions are supported. All promotions are managed in the Business app.
App design and features are subject to change without notice. Screenshots, including simulated data visible, are for illustrative purposes only.
Each promotion is identified by a name and has start and end time. The time setting enables a user for example to schedule promotions to start or end at out-of-office hours.
A boost level is set to determine how the selected products and variants will be boosted. Statistics are collected during the promotion and can be measured. Products and variants can be part of several promotions and demotions at the same time.
A promotion can have three different boost levels: high, medium, or low. The high boost level is recommended in most use cases. The priority of the promotion boost levels are high to low. The boost level from a demotion has a higher priority than the promotion boost levels. All variants of a product will get individual rankings based on the variant performance and boost level.
- High - During the promotion, the strategy score of each boosted product or variant is adjusted to be higher than all products which are not boosted.
- Medium - During the promotion, the strategy score of each boosted product or variant is adjusted to be higher than ~99% of the products that currently have a higher strategy score.
- Low - During the promotion, the strategy score of each boosted product or variant is adjusted to be higher than ~90% of the products that currently have a higher strategy score.
Promoting demoted products and variants
If a product or variant is part of both a promotion and a demotion at the same time, the strategy score from the demotion has the highest priority and will be used.
During a promotion period, aggregated statistics for all boosted products/variants are collected for displays, clicks, sold units, revenue, and profit. Revenue and profit are shown in the currency configured for the current market.
Statistics can be measured to show the impact of the promotion. When activating measurements, 80% of the sessions will show the promotion and 20% will not. The impact is measured by comparing the statistics from sessions with promotions to sessions without promotions. The aggregated statistics of a promotion are based on all sessions, i.e. both sessions with and without promotions.
Notification set-up and implementation affects the statistics collected. Incorrectly set-up notifications will result in incorrect statistics. It is recommended to always measure promotions.
Selecting products and variants¶
Products used in a promotion can be either handpicked or included (or excluded) by rules. Variants can only be included (or excluded) by rules.
Products can be handpicked for a promotion. The Search box can be used to search for products using the search attributes configured for the products, including
product_key. Handpicked products can be removed from a promotion directly from the main Edit promotion dialogue window. A promotion of a hand picked product promotes all the variants of the product.
Products and variants can be included in, and excluded from, a promotion using one or more rule sets. A rule set can include several rules where each rule can either
exclude products/variants where a configured attribute, such as a brand name or a product category, has one or more values found in eSales.
Products will be boosted if only product attributes are used. If at least one variant attribute is used in the rule, the boost will be set to the variants matching the rule. If an attribute is a product attribute or a variant attribute depends on the data model setup and how attributes are used in the product import. If a product does not have variants the product itself is seen as a variant.
If more than one value is selected for an attribute in a rule, the values are to be considered as using the logical
OR operator. I.e. if a rule with the attribute
brand has both
Nike as values, products with
brand configured as
Nike will be selected.
Each additional rule in a rule set is based on the data returned by the previous rule (logical
AND operator). The final product and variant selection within the rule set is based on the data returned by the last rule. This is useful when narrowing down a set of products and variants. For example, a rule set has two
include rules where first rule has the attribute
brand and the value
Adidas, and the second rule has the attribute
colour and the value
Black. The final selection within the rule set are products or variants with the
colour set to
Black from the the data set where the
It is not recommended to use different rules using
include with the same attribute within a rule set as they most likely not return a result. I.e. if a rule set has two
include rules where first rule has the attribute
brand and the value
Adidas, and the second rule also has the attribute
brand but the value
Nike, it will not return any products or variants at all. This is because no products or variants with
brand are present in the data returned where
Several rule sets can be used simultaneously. The rule sets operate independently of each other (logical
Individual products included by a rule set can be excluded if they are are deemed unfit for the promotion. The products can either be excluded using a rule to
exclude products and variants by their id's or by selecting them individually in the promotion details view. Selected products are dimmed with a text denoting that they are blocked.
The key use cases for promotions includes managing stock level and promotions of seasonal wear. Read more about use cases and best sales practices on the Promotions page on Apptus.com.
- Do no use multiple
includerules with the same attribute and different values within a rule set, instead use one
includerule with one attribute and multiple values.
- Always measure statistics of a promotion
- Include a rule to only show products in stock, unless promoting pre-orders or upcoming releases
- Use rules for inclusion before rules for exclusion in a rule set
Panels supporting promotions¶
Depending on what panel is used, promotions are utilised either fully or partially. Panels that partially utilise promotions, such as the Autocomplete panel, use product promotions on product backfill. Multi-level sorting will affect promotions.
Promotions are fully utilised in:
- Product list panel, when using relevance or sales as sort order
- Product list with count zone, when using relevance or sales as sort order
- Search hits panel, when using relevance or sales as sort order
- Search hits with count zone, when using relevance or sales as sort order
- Search zone, when using relevance or sales as sort order
- Recommend based on product panel
Promotions are partially utilised in:
- Product list panel, when using personal as sort order
- Product list with count zone, when using personal as sort order
- Autocomplete panel
- Did-you-mean panel
- Product suggestions panel
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