Customers understood. Moments acted on.
Customer
Intelligence Engine
Meet your customers precisely when and where it matters most.
Single Customer View
LIVECustomer #4827193 Scored & recommended in 40ms
Next Best Action
Send Promotional Proposal Sequence
Because
- Predicted LTV
- £256
- Top 8% of base
- Intent
- 87 / 100
- Rising this session
- Churn risk
- 12%
- Low, worth protecting
- Opens on
- SMS
- Ahead of email or push
Signals In
- First-party data
- Customer engagement data
- Media investment
- Behavioural and transactional
- Product, margin and basket
- Call centre and in-store
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Unified Data
Every source connected into a single customer view, built in your own environment.
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Prediction Engine
Predicted value, intent, churn risk and next best action, scored in real time.
One Customer, One View
Customer #5273834 Scored & recommended in 40ms
Next Best Action
Loyalty Offer - SMS - Now
Because
- Predicted LTV
- £256
- Top 8% of base
- Intent
- 87 / 100
- Rising this session
- Churn risk
- 12%
- Low, worth protecting
- Opens on
- SMS
- Ahead of email or push
Activate for Growth
Scores pushed directly into the platforms your teams already run on.
Activations Out
- Paid media
- Owned communications
- E-commerce
- Online and offline
- CRO, web and app
- Agentic customer experience
Value Across the Organisation.
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Commercial Lead
Revenue
& Growth- +270% conversions
- -34% missed high-value visitors
- 6.33x return on media spend
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Operations
Speed
& Efficiency- -75% reporting time
- Less manual data cleansing
- Permanent organisational memory
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IT Leadership
Architecture
& Control- Native to Google Cloud
- A single source of truth
- Tier 1 pilot in 4 to 6 weeks
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Legal & Security
Governance
& Risk- First-party data stays in your VPC
- Not used to train public models
- UK GDPR / CCPA · human-in-the-loop
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Media & Growth
Activation
& Performance- Real-time Quality Score
- DV360 / SA360 / Meta / YouTube
- CFO priorities → activation
Where It Works
One Engine, Every Channel.
The same intelligence layer, applied to the specific decisions each channel makes every day. One 0 to 100 Quality Score per customer drives the bid, the on-site experience and the briefing the call centre agent sees, so every surface is working from the same number.
Paid Media
Every impression is a bid on future value. Without a value signal, every prospect is priced much the same.
- Bid on predicted value, not volume Conversions are weighted by the profit they are likely to carry, so budget moves from low-value, high-volume activity toward customers worth acquiring.
- Resilience to signal loss Modelling runs on first-party intelligence, so targeting holds up as third-party signal continues to degrade.
- Retention intelligence applied upstream Churn and value-at-risk are predicted early, and media responds before the value has already gone.
- Spend reallocated toward incremental reach Investment shifts toward audiences the brand would not otherwise have reached, rather than paying again for demand it already had.
Owned Communications
Every send either earns or erodes the right to send again. Relevance, restraint and timing now determine the return.
- Real-time, intent-driven personalisation Email and SMS trigger from live behavioural signals, with content matched to each customer’s real-time intent score rather than to fixed segment rules.
- Next Best Action logic For every customer touch the engine selects the most profitable response in real time, weighed against lifetime value and what the customer will actually welcome.
- Predictive engagement Interventions fire when churn or engagement-decline signals appear, ahead of high-value customers going quiet.
- Channel preference prediction Email, SMS or push is selected per individual on predicted responsiveness, removing duplicate-channel waste.
E-Commerce
Every recommendation is a judgement about what someone actually needs. What you surface, when, and to whom decides whether e-commerce builds a relationship or spends one.
- Merchandising weighted by lasting value Every ranking, recommendation and bid decision is weighted by the value the sale creates on both sides, rather than by conversion likelihood alone.
- Next Best Action on every recommendation The engine synthesises lifetime value, behaviour and inventory signals to select the most profitable next step, including no step at all.
- Product affinity intelligence Market basket analysis surfaces non-obvious affinities, then prompts cross-sell at the moment it is useful.
- Real-time suppression Inventory signals reach the activation layer instantly, suppressing spend on products that cannot be fulfilled.
Online and Offline
Customers experience one brand. Every gap between online and offline becomes friction, lost revenue, or broken measurement.
- One orchestrated journey Signals move between digital and physical surfaces in real time, so digital intent shapes the in-store experience and offline behaviour feeds back into digital activation.
- Value scores reaching human-facing systems The same 0 to 100 Quality Score that drives paid bidding reaches the call centre and the shop floor, before a word is exchanged.
- Closing the attribution loop In-store transactions and POS data flow into BigQuery through Google Data Manager, then back into bidding through Enhanced Conversions.
- AI chat routed by intent and value Chat appears at the moment of intent or friction, and hands to a human agent based on customer value and query complexity.
Conversion Rate Optimisation
The site is no longer a static asset. It is a real-time decision engine that adapts to each visitor’s intent, or quietly loses them to friction.
- Beyond static A/B testing Rather than waiting weeks for cohort tests to converge on one variant, the site adapts UX, content and pace per visitor.
- Real-time session scoring Each visitor is scored 0 to 100 on conversion intent, updating as the session progresses.
- Anticipating drop-off The engine reads hesitation signals such as long pauses and repeated field edits before they become exits.
- Layout that self-tunes The engine identifies which elements each visitor responds to, then reorders layout and prominence per individual.
Proof In Practice
Work That Activates Growth.
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+270%
Conversions
Custom bidding rebuilt around predicted customer value for a travel brand.
-
750
Reusable master attributes
Thousands of fragmented traits unified into a single source of truth for a UK telecoms brand.
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+183%
YouTube media ROI
Ensuring optimal quality of delivery during peak competitive periods for global toy retailer.
- View All Case Studies
FAQs
Your Questions, Answered.
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Enterprise intelligence breaks down when customer data is trapped inside static environments that only explain what has already happened. We solve this by combining real-time multi-channel data ingestion with autonomous intelligence agents that continuously model behaviour, predict intent, and trigger commercial actions. Rather than waiting for manual reporting cycles, your teams get real-time prescriptive insights that directly guide growth decisions.
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Standard CDPs and CRMs function as passive storage repositories that require data analysts to construct complex queries before anyone can act. Our engine operates as an active intelligence layer above your existing data architecture. Autonomous agents synthesise behavioural patterns across touchpoints, identify hidden friction or churn risks instantly, and push actionable instructions into your downstream activation channels without manual query building.
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Legacy migration failures occur when platforms demand costly rip-and-replace deployments that interrupt business operations. We prevent this by deploying the Customer Intelligence Engine as an agile overlay that plugs directly into your existing data warehouses, CRMs, and marketing platforms via secure APIs. Your historical architectures stay intact while your teams gain immediate agentic intelligence.
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Enterprise compliance concerns arise when customer data is processed through insecure third-party tools with ambiguous governance policies. We eliminate this risk by running our models within enterprise-grade security boundaries that comply fully with GDPR and international data standards. Your proprietary customer records are encrypted at rest and in transit, never leaving your controlled perimeter or being used to train public models.
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Fragmented analytics occur when teams only examine digital web sessions while ignoring offline, transactional, or conversational signals. Our engine resolves this by unifying structured and unstructured data across first-party analytics, CRM pipelines, purchase histories, customer service logs, and social engagement touchpoints into a coherent, real-time customer graph.
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Human analysis bottlenecks emerge when analysts must manually comb through millions of customer events to detect trends. We solve this by utilising specialised analytical agents that monitor data streams around the clock. These agents isolate behavioural anomalies, calculate customer lifetime value shifts, model propensity scores, and generate clear operational recommendations in seconds.
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Campaign performance stalls when creative teams design assets in isolation from audience behavioural data. Because the engine integrates seamlessly with GenMedia Studio, real-time customer intelligence feeds directly into creative generation workflows. Audience signals dynamically dictate video messaging, tailored visual hooks, and campaign variations that match current customer intent.
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Traditional enterprise business intelligence initiatives often demand six-month implementation cycles before showing business value. Our modular deployment architecture establishes core data connections and activates initial intelligence agents within weeks. Teams can identify high-impact customer drop-off points and deploy predictive audience segments almost immediately.