How Nikivibes used personalization to add a recommended product to every fourth order

Nikivibes partnered with Aqurate Personalize and agencylife.at to deliver personalized recommendations across the online store. The co-implementation drove clear uplifts in engagement, conversions, and basket value for users who interacted with recommendations. The project focused on practical touchpoints such as product detail pages, category lists, cart prompts, and homepage placements to capture cross-sell opportunities.

In partnership with agencylife

agencylife is a digital marketing and eCommerce agency based in Vienna, Austria that helps online stores grow through performance marketing, CRO, and data-driven optimization, working closely with brands to turn traffic into revenue.

About Nikivibes

Nikivibes is an Austrian online retailer focused on lifestyle products and customer experience. They work with agencylife for digital marketing and eCommerce strategy. The team wanted a scalable personalization layer that integrates with existing marketing activities, improves relevance on product pages, and increases cross-sell without adding major engineering overhead.

The Challenge

Nikivibes needed to turn browsing intent into larger, more valuable purchases. Their goals were to increase the number of orders that include recommended items, raise average basket size, and improve conversion for visitors exposed to suggestions. They also wanted clear, actionable reporting to separate performance by touchpoint so marketing and the agency could optimize content and placement. Time and resource constraints made a lightweight, fast integration with measurable results the priority.

The Solution

Aqurate Personalize was deployed across key touchpoints in close collaboration with agencylife. The setup prioritized Alternative Products on product detail pages, Popular in Category listings, and Frequently Bought Together recommendations on cart and pop-ups. The shared dashboard within the tool was used to view monthly trends and touchpoint performance, enabling the agency and merchant to iterate quickly. Recommendations were tuned for context and merchandising rules so the team could align personalization with ongoing campaigns.

Results

• Sessions with recommendation clicks represented a 8% share of total sessions, showing strong user engagement.
• Orders containing recommended products made up roughly a quarter of all orders.
• Revenue influenced by recommendations accounted for 14% of total revenue.
• Average basket size for users who interacted with recommendations 55% higher than for other users.
• Conversion rate for users interacting with recommendations increased by almost 3x compared with baseline.

Conclusion

The implementation delivered fast, measurable uplift in engagement, order composition, and revenue share without heavy engineering. The shared dashboard and joint operations with agencylife enabled continuous optimization by touchpoint. Next steps are to expand high-performing recommendation types, run merchandising tests on category pages, and scale placements into email and on-site campaigns to capture more of the conversion funnel. Aqurate’s partnership model ensures both agencies and merchants see tangible results quickly.

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