Unify consented profiles
Identity, preferences, and behavioural signals are merged under consent and retention rules.
The problem
Customer segments too broad to drive real personalisation
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Segments that are too broad to be useful
Grouping customers into 5 segments means 80% of them see experiences that aren't quite right. Relevance suffers. Conversion suffers.
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Recommendations that miss the moment
Static recommendation rules don't adapt to what a customer is doing right now. They show what's popular, not what's relevant.
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Personalisation limited to email
Most teams personalise email but leave the website, app and support experience generic. The gap between channels destroys consistency.
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Experiences that feel inconsistent
Personalisation in one channel contradicts another. Customers notice the mismatch and trust—and conversion—suffer.
运作方式
Relevance without creepiness—using data you are allowed to use
Score and rank
Offers, content, and journeys are selected with explainable features for marketing and privacy review.
Test and learn
Experiments feed back into models and guardrails so winners scale safely across channels.
Feature stores and batch exports plug into your existing CDP or data warehouse.
每个客户都会获得不同的体验。为他们而建。
包含内容
What you get when you run this with Thinkia
A governed layer across data, workflows, and handoffs—so teams ship safely and scale with metrics.
Real-time behavioural signals
Processes session behaviour, purchase history and contextual signals to personalise in the moment.
Product and content recommendations
Surfaces the right product, article or offer at the right point in the journey.
Cross-channel consistency
Personalisation layer applies across web, app, email and support interactions.
A/B and multivariate testing
Built-in experimentation framework to validate personalisation decisions with data.
Privacy-compliant architecture
Personalisation without relying on third-party cookies or non-consented data.
Segment-of-one targeting
Individual-level personalisation that goes beyond cohort and segment logic.
技术提供 Thinkia Synapse
成果
What changes when this runs in production
Results vary by traffic volume, catalogue size and data maturity.
+15–25%
Improvement with real-time personalised recommendations vs. generic
+12%
Uplift from contextually relevant cross-sell and upsell
+35%
With personalised content vs. segment-average messaging
合作方式
From batch blasts to relevance your customers notice—and you can defend
Identity & consent
Identity & consent
Week 1–2
Customer graph, consent flags, and suppression rules are the non-negotiable foundation.
Feature & policy
Feature & policy
Week 3–5
Ranking logic, fairness checks, and brand guardrails are encoded before any live traffic.
Holdout test
Holdout test
Week 6–9
A/B and uplift measurement prove revenue and engagement without breaking trust.
Omnichannel scale
Omnichannel scale
Week 10+
Web, app, email, and care channels consume the same decisioning service with shared governance.
Data richness and channel count affect build; we prioritise journeys with measurable lift.
延伸阅读
Personalization, trust, and next reads
开始
Ready to scope this for your context?
We start with a focused session—no commitment—to map constraints and a sensible path.