Market intelligence. Markets, competitors and scenarios analysed by AI before you commit a budget.
01Turn marketing data into decisions
PixelBridge consolidates CRM, channel and external data into one intelligence layer, then forecasts what your customers do next.
CRM CRM
Ads Ad platforms
Web & app Web & app analytics
Email Email & messaging
Market Market data
Intelligence layer
Audiences Audience segments
Forecast Revenue forecast
Decision Next decision
- AI-Powered Market Intelligence
- Competitive Intelligence & Opportunity Mapping
- Marketing Scenario Modeling & Forecasting
- Business Intelligence & Performance Analytics
- Advanced Marketing Analytics & Data Intelligence
- Multi-Source Data Integration & Analytics
- Marketing Attribution & Revenue Intelligence
- Customer Journey Analytics & Optimization
- Predictive Consumer Behavior Analytics
- Intelligent Audience Discovery & Profiling
- Synthetic Audience Simulation
- Predictive Lead Intelligence & Scoring
- Autonomous Marketing Decision Engines
- Dynamic Personalization & Behavioral Intelligence
- Conversational AI & Intent Analytics
What we do
Four pillars, fifteen services
Each pillar groups the services PixelBridge delivers. Most engagements combine two or more, run by one team from the first workshop to daily operations.
Marketing analytics. Every marketing data source joined into one model, from attribution to the customer journey.
02Audience intelligence. Predictive models of who your customers are, what they will do next and which leads will convert.
03AI automation. Decision engines, personalization and conversational AI that act on the insight.
04
Decision applied
One model across every source.
Every channel.
CRM, ad accounts, web and app analytics and customer databases joined into one model, so attribution, journeys and the weekly dashboard read from the same numbers.
See the analytics services-
Multi-source integration
Twelve connectors, one customer model, consent flags enforced on every row.
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Attribution and revenue intelligence
Every dollar of spend linked to the acquisitions and revenue it produced.
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Customer journey analytics
Cross-channel paths, the steps where buyers drop off and what to fix first.
The decision layer
Insight that acts on itself
Decision engines, personalization and conversational AI act on the same model that scores markets, audiences and leads. Market and competitor signals arrive as they happen, and only the exceptions reach a person.
Marketing Scenario Modeling & Forecasting. Forecast the outcome of a budget before you spend it.
Competitive Intelligence & Opportunity Mapping. Competitor moves and open gaps, mapped as they appear.
Predictive Lead Intelligence & Scoring. Every lead scored on conversion probability and expected value.
Conversational AI & Intent Analytics. Buying intent read from every conversation, then routed.
Intelligent Audience Discovery & Profiling. Segments found in the data, not guessed from a persona.
Autonomous Marketing Decision Engines. Routine decisions handled within the limits you set. Exceptions go to a person.
Dynamic Personalization & Behavioral Intelligence. Each visitor sees the message their behaviour predicts.
Case studies
Work delivered under NDA
Clients keep their names private. Each study sets out the challenge, the services delivered and what changed.
Travel and hospitality Asia Pacific
Every member received the same offers, whatever they had searched or booked.
10 to 15%
higher booking conversion from campaigns
Financial technology Southeast Asia
Sales called every sign-up in order of arrival, and most never became customers.
20 to 30%
more funded loans per sales hour
Consumer retail Greater China
Every channel claimed the same sales, so nobody knew what marketing spend returned.
15 to 25%
better return on paid media spend
