Personalized journeys, global gains: Electrolux's 21-market success story

See how the world’s second-largest home appliance retailer used personalization to scale localized experiences across 63 domains and 21 markets for its 3 core brands: Electrolux, AEG, and Zanussi.

16% uplift in D2C revenue

generated by Dynamic Yield campaigns

The Challenge

Maintaining authentic customer connections

With the size of Electrolux’s business, staying relevant to customers without losing efficiency and communication across worldwide teams and brands is challenging. Until the adoption of its personalization program, Electrolux’s ability to deploy meaningful personalized and localized experiences online was limited to the basics, manually managing product recommendations and their differences in language, currency, and local inventory. 

But to truly speak to the customer, a business needs more than the basics. Price sensitivity, tendencies with behavior that relate back to cultural factors, and even the level of service a user expects on a page can all be traced back to regional differences — differences that are critical yet difficult to address at scale. 

Electrolux leveraged Experience OS to deliver different experiences to 63 domains, 21 markets, and 3 brands with a single campaign, creating a scalable system that can be maintained by a central personalization team of only two people. This frees up regional teams to get more granular and address local customer pain points, all with the same tool. Below are some examples of how Electrolux has realized successful localization via its personalization program. 

Achieving localized experiences from a single global campaign

Electrolux’s central personalization team uses global KPIs to identify which web experiences are valuable to deploy across all their brands. These include homepage recommendations, limited-time offer pop-ups, loyalty program nudges, and more. To deploy these key web experiences across all regions and brands, the team starts with a single campaign in Experience OS, then builds multi-language variations to hit the different locales, adjusting each variation for regionally-specific currency and targeting conditions.

The result is dozens of unique experiences, on multiple domains and brands, that run from a single, overarching campaign. This is both easy to maintain and allows the team to optimize for centrally-defined KPIs, without sacrificing awareness of the nuances of each brand and region. 

These campaigns are possible because Electrolux ingested an enormous multi-language, multi-property product feed into Experience OS, a feed that contains thousands of items with over a hundred data attributes for each product. Dynamic Yield’s capability to ingest product feeds of this scale and complexity allows Electrolux to drive consistent and orchestrated experiences throughout all locales, taking into account product availability, prices, promotional offers, and more for 21 different markets.

Limited-time promotions with regional personalization

Electrolux has a “Product of the Month” promotion unique in every region. While this was a challenge to promote before personalization, now the team swaps out the promotions every month with a single, easily managed campaign. Here is an example of what the “Product of the Month” promotion looked like in Italy versus Norway:

Although these pop-ups were built from the same campaign, the result is two entirely different experiences based on the region, featuring variations in the product, copy,  language, currency, and size of the discount. 

Almost every element in the pop-up is adjusted for the region, including the product featured, the copy, language, currency, and size of the discount. This single campaign represents a sustainable way for the central personalization team to address different market needs, pushing key products at the right time, in the right region, for less work. 

 Loyalty program pop-ups by region

Another KPI for the central team was to encourage loyalty program sign-ups across all brands and regions. Historically, this was challenging because the website prompts involved different terms and language localization, and took frequent, manual updates to manage. 

Now, the personalization team optimizes loyalty program sign-ups from a single call-to-action campaign. Here is what the end result looked like for non-members on the Electrolux site in Italy versus non-members on the AEG site in Poland: 

This loyalty program sign-up CTA was built from a single central campaign and deployed across multiple brands and regions. The result is automatic differences in language, terms, and branding.

Even though it was built from the same campaign with the same campaign structure, the CTA appeared with a different discount based on the local policies, different languages based on the region, and different styling depending on the brand. 

Homepage recommendations for visitors with no product views 

In this example, the team built a single campaign with the same algorithm (Most Popular) to show homepage recommendations that varied by region. Here is what the end result looked like for a first-time visitor in France versus a first-time visitor in Sweden: 

These homepage recommendations for first-time visitors were built from the same campaign, deployed with the same algorithm (Most Popular) and deployed on the same date and time. Yet, the end result reflects different local promotional policies, language, pricing, currency, and products.

The experiences account for regional differences, showing an AC in France (where it was more relevant for the time of year) versus an air fryer in Sweden. Additionally, different currencies, languages, and price points apply. Overall, this recommendation campaign delivered personalized suggestions, tailored to 63 different regions accounting for local preferences, on 63 site domains — automatically. 

While the above example demonstrates Electrolux’s ability to scale a single recommendation campaign across 21 markets, it’s worth noting that the personalization team runs dozens of recommendation campaigns across all 63 of its domains. Recommendations are deployed on cart pages, product pages, and category pages, and can be scaled across markets or contained locally as the team desires. The team also uses different OOTB strategies, including deep learning recommendations and some customized logic unique to their business. For instance, Electrolux uses Dynamic Yield’s Bring Your Own Logic capability to recommend accessories for items in a user’s cart, scaled across most markets. 

Electrolux applied custom logic to Dynamic Yield’s algorithms to recommend accessories based on items in a user’s cart. In the first image, a washing machine in the cart yields recommendations for washer pads and a microplastics filter. When a vacuum is added to the cart (2nd image), recommendations for vacuum bags appear.

Electrolux added their logic to Dynamic Yield’s existing algorithms to display only accessories related to the items in the user’s cart. This was possible because of Electrolux’s intricate product feed, which contains over a hundred data points per item and enables the team to match accessories to products. By leveraging this feed in Experience OS with unique logic applied to Dynamic Yield’s cutting-edge algorithms, Electrolux can deliver accurate accessory recommendations at scale. 

With the right tool and team structure, scalability knows no bounds

While the adoption of Dynamic Yield has empowered Electrolux with the right tool to execute localization at scale, it wouldn’t be successful without the ingenuity of the brand’s team structure. Electrolux splits the work between a two-person central personalization team, which oversees global KPIs and campaigns, and small regional teams, which brainstorm, pitch, and optimize for granular regional nuances.

Electrolux has a small central personalization team, which runs campaigns to optimize for global KPIs across the brands, and regional teams, which monitor unique customer pain points by region and deploy personalization campaigns on certain domains to address them.

The original experience (left) was a pain point in the UK because it lacked clarity on delivery times. The personalized campaign (right) displayed a delivery estimate based on the individual’s location, date, and time of purchase, yielding an +8% revenue uplift against the original.

The personalized delivery estimate solved for this pain point and created an improved customer experience, something that was highly valued in the UK market. This campaign yielded an +8% revenue uplift when compared to the original experience.

In another example, the regional team in Italy observed that live customer support was important in the Italian market, especially for appliances with a high price point. So, they built a campaign promoting Electrolux’s order-by-phone service to appear on the PDPs of high-ticket items. 

This campaign promoted Electrolux’s order-by-phone service on the PDPs of high-ticket items, specifically for the Italian market, where the team observed live support was critical to close an expensive purchase. The result was a +70% increase in sales via phone compared to no promotion of the service.

This campaign was particularly effective for paid traffic and supplemented advertising campaigns with increased support coverage for products with a high price point. As a result, the Italian region saw a +70% increase in sales via phone compared to prior months when the campaign was not live on PDPs. 

Pushing the boundaries of personalization

Aside from Electrolux’s sophisticated localization program, the team continues to push the boundaries of personalization by introducing new channels. Electrolux recently leveraged triggered emails to re-engage visitors who had abandoned their cart, easily scaling this across brands, regions, and languages.

Electrolux uses triggered emails to re-engage with visitors who have abandoned their carts, scaled across brands, regions, and languages with one tool.

With Experience OS, Electrolux is able to seamlessly deliver personalized emails at key times, improving re-engagement and reducing churn.

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