4. Using Personalized Recommendations to Surface Like products

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shaownislam
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4. Using Personalized Recommendations to Surface Like products

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These types of campaigns are common - and include ideas such as buy one get one, spending thresholds, and more. Here, Fashion Nova uses a ladder approach, establishing multiple th telegram user database resholds in $25 increments.

3. Creating Dynamic Bundles with Shoppable "Looks"

Bundles are fantastic at eliminating the "Paradox of Choice" and leveraging authority to increase the average order value.



Here, Fashion Nova combines products across categories to create a complete look. Then, with some great content personalization on the product page, they are able to showcase with imagery how the outfit looks together.

Finally, these products are combined into a simple bundle that visitors can add to their cart in one click.


Image



As customers shop, they reveal what types of products they are interested in.



You can use this information to create informed, personalized product recommendations.



Fashion Nova actually inserts three product recommendation widgets on their product pages. The fist dynamically inserts related products based on style and category - in this case, items similar to their canopy jean.



This tactic is not only great for ensuring a sale, but it also presents shoppers with items they are likely to buy in addition to the product they are looking at increasing AOV.

5. Using Personalized Recommendations to Offer Complimentary Products

The second product recommendation widget Fashion Nova creates are "Suggested Add-Ons".
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