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Digital Experience Personalisation

Every customer sees the right thing, in the right place, at the right moment.

One AI engine personalising every digital experience, from search to content to conversation.

We personalise search, browse, recommendations, content, and conversation on one decisioning engine and one customer profile, so every experience is consistent, on-brand, and built to convert, across web, app, and every digital property you run.

0 %
conversion rate uplift
0 %
increase in revenue per visit
0 %
increase in engagement

See How we Can Transform Your Growth with Customer Data Platform Solutions

How ADA Digital Experience Personalisation transforms your customer experience

Recommend

Personalised product recommendations, content, and offers for every user.

Recommendations, hero banners, guided selling, and offers across the full journey, decided by user intent, product, and real-time context, with 150+ no-code strategies aware of margin, brand, and stock.

15- 0 %
attributable sales

Content Production

The content that personalisation runs on.

Our AI Content Supply Chain produces the creative and content the engine serves, at the velocity personalised campaigns demand.

Find & Discover

Search and category pages personalised to every shopper.

Semantic, multi-modal search that reads intent, handles typos and multiple languages, and personalises after a single interaction, with category pages re-ranked for each shopper as they browse.

Social Proof

Real-time urgency that lifts conversion in weeks.

Personalised trust and urgency messaging, trending, low stock, viewer counts, and purchase counts, personalised per visitor, live in four to five weeks with no historical data. Strongest in fashion, beauty, and considered-purchase categories.

4- 0 weeks
to live, no historical data required

Shopping Assistant

Conversational commerce grounded in your live catalogue.

An AI shopping assistant that answers from your real-time catalogue with zero hallucination, carrying the shopper from discovery through comparison, cart, checkout, and reorder in one conversation.

Built for your industry. Personal for every customer.

Personalisation is not only for retail. The same decisioning engine powers experiences across retail, financial services, telecom, travel, and complex B2B, with vertical-specific logic designed for how you sell.

Fashion

Complete-the-look styling and outfit attach.

Ensemble AI builds complete-the-look and shop-the-look outfits, Shopping Assistant answers styling and fit questions in conversation, and Recommend drives intent-aware product and content personalisation across the journey.

Key Use Cases

  • Complete-the-look bundles and outfit attach
  • Seasonal styling campaigns
  • On-model ensemble generation
  • Personalised search and browse

Beauty

Routine completion and guided selling.

Guided selling by skin type and concern, complementary product sets, and replenishment prompts that bring shoppers back before they run out.

Key Use Cases

  • Guided selling by skin type and concern
  • Routine and regimen completion
  • Replenishment reminders
  • Personalised recommendations

Financial Services

Product and offer discovery on your digital properties.

Personalised product recommendations, offer discovery, and search across banking and insurance digital channels, with transparent, auditable models built for regulated environments.

Key Use Cases

  • Personalised product and offer discovery
  • Search and content personalisation on digital properties
  • Next-best-product recommendations
  • Auditable models for compliance

B2B Commerce

Account-aware discovery for complex buying.

Personalised search, content, and recommendations for B2B buyers, with account-level intelligence, contract pricing logic, and buyer-role filtering, proven with complex B2B operations at scale.

Key Use Cases

  • Account-aware search and product lists
  • Contract and role-based pricing logic
  • Reorder and lapsed-account recovery
  • Specification-led guided selling

Stats 400% — revenue per visit uplift on a B2B recommendation deployment

How it works

Connect Your Data and Behaviour

Integrate your content, product, and behavioural data so the engine learns from live activity and grounds every decision in real context.

Build the Customer Profile

Identity stitching across devices, browsers, and profiles turns anonymous visits into mapped behaviour, unifying search, browse, recommendation, content, and conversation into one profile. No personally identifiable information is captured or stored.

Personalise Every Surface

The decisioning engine personalises search, listing pages, recommendations, content, and conversation, all respecting your business rules.

Launch and Test

Configure placements and campaigns with no code, and test strategies with the Experience Optimizer that shows why every decision fired. On Shopify, Recommend, Find, and Discover can go live in four weeks, including the listening period.

Optimise Continuously

Ongoing strategy testing and placement expansion, run with your team so control stays with you.

Connect Your Data and Behaviour

Integrate your content, product, and behavioural data so the engine learns from live activity and grounds every decision in real context.

Build the Customer Profile

Identity stitching across devices, browsers, and profiles turns anonymous visits into mapped behaviour, unifying search, browse, recommendation, content, and conversation into one profile. No personally identifiable information is captured or stored.

Personalise Every Surface

The decisioning engine personalises search, listing pages, recommendations, content, and conversation, all respecting your business rules.

Launch and Test

Configure placements and campaigns with no code, and test strategies with the Experience Optimizer that shows why every decision fired. On Shopify, Recommend, Find, and Discover can go live in four weeks, including the listening period.

Optimise Continuously

Ongoing strategy testing and placement expansion, run with your team so control stays with you.

Customer Stories

See all customer stories
Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations
Beauty Denmark

Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations

See full story
0 %
Digital Account Growth
0 X
Increase in Mobile App Usage
Stadium Drives +17% RPV with AI-Optimized Messaging
Sporting Goods Finland

Stadium Drives +17% RPV with AI-Optimized Messaging

See full story
0 %
Reduction in out-of-stock across stores
0 %
increase in revenue
See all customer stories

See how ADA’s Digital Experience Personalisation can transform your business