Exposure strategies enable merchandisers to select for which business goals Voyado Elevate should optimise its product exposure algorithms.
DISCLAIMER
The design and features of each application area is subject to change without notice. Screenshots, including the simulated data shown, are for illustrative purposes only.
There are three different exposure strategies available and can be set per market in the Business application area.
- Expose higher priced products (Revenue focus)
- Expose high margin products (Profit focus)
- Expose products that sell more (Conversion focus)
Product ranking
Each product in a given context has a momentary popularity value, a strategy score, based on the selected exposure strategy. Each individual product score is continuously re-evaluated based on sales data, and will affect the listing position of the product in every context.
A/B testing
Before selecting an exposure strategy it is recommended to perform a built in A/B test between the strategies. An A/B test will establish the effect of switching exposure strategy on a site.
Metrics for conversions, revenue, and profit can be monitored throughout the test period. Predictions of the impact of a strategy switch are made and visualised. The longer a test is ongoing and the more sessions that are affected, the more exact the predictions will be. The results and predictions will provide a merchandiser with information on how the different strategies affect goal metrics and inform of potential trade-offs.
This form of testing of competing strategies is built into Elevate and allows for merchandisers to make an informed decision based on actual performance.
| Prediction | Description |
| Range of impact | The range of impact is a value that represents the predicted change per metric in percent for the queries affected by exposure strategies when switching from strategy A to B. The expected impact is given as a 95% confidence interval with an upper and lower bound. |
| Total impact | The total impact is a value that represents the predicted change per metric in percent for all queries when switching from strategy A to B. |
Use cases
The key use cases for exposure strategies includes payday optimization and discount period optimization.
Primary lists and recommendation lists
Primary lists and recommendation lists can utilize exposure strategies. Primary lists fully utilize exposure strategies when using the "RELEVANCE" sort order. Recommendation lists fully utilize exposure strategies when using the "TOP_PRODUCTS" algorithm, and partially utilize exposure strategies, i.e. on product backfill, for the other recommendation algorithms.
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