Fusion360 Overview

Turn fragmented customer data into revenue-generating customer intelligence. Start quickly, prove value through focused use cases, and scale without beginning with a large transformation project.

Market context
The context every partner conversation should start with: data chaos is costing the client revenue today.

Most businesses are not short of customer data; they are short of context. The same customer appears in POS, e-commerce, CRM, loyalty and campaign tools with no shared identity, so marketers guess instead of acting. Fusion360 restores that context - one profile per customer, enriched with behaviour and predictions - and turns it into hyper-personalised engagement, real-time segmentation and measurable ROI, live in four weeks.

43%

report poor data quality as the major blocker to omni-channel goals

Source: HBR

70%

struggle with disconnected data silos across online and offline channels

Source: Forrester

67%

say customer identity and a single customer view are not aligned to marketer needs

Source: Industry research

75%

struggle to meet ROI from a data-driven approach at reduced operating cost

Source: Industry research

Reported results

9%

Sales uplift

13%

Increase in wallet share

23%

Saved on marketing costs

Why clients choose Fusion360

  • Built for all industries, with 300+ KPIs and customisable RFM segments.
  • AI-powered insights, advanced transformation rules and NLP-based segmentation.
  • Quick, marketer-friendly setup with a four-week implementation.
  • Incubated at adidas and built by marketers for marketers.

Live in four weeks

  1. 1Ingest. Use built-in connectors to bring online and offline data in.
  2. 2Transform. Apply advanced AI-driven transformation rules to clean and enrich it.
  3. 3Create segments. Profiles build in minutes, enabling AI-based and NLP segmentation.
  4. 4Run campaigns. Activate personalised campaigns against those segments and measure revenue.

Before and after Fusion360

AspectBeforeAfter
Data unificationMonthsHours
Segment creationDaysMinutes
Audience engagementLow interactionHigh interaction
PersonalisationGenericHyper-personalised
Marketing attributionMonthsHours
Revenue impactBelow averageAbove average

Context talk track

Market context - [Company name] Most businesses are not short of customer data; they are short of context. The same customer appears in POS, e-commerce, CRM, loyalty and campaign tools with no shared identity, so marketers guess instead of acting. Fusion360 restores that context - one profile per customer, enriched with behaviour and predictions - and turns it into hyper-personalised engagement, real-time segmentation and measurable ROI, live in four weeks. Why this matters now - 43% report poor data quality as the major blocker to omni-channel goals (HBR). - 70% struggle with disconnected data silos across online and offline channels (Forrester). - 67% say customer identity and a single customer view are not aligned to marketer needs (Industry research). - 75% struggle to meet ROI from a data-driven approach at reduced operating cost (Industry research). What organisations using Fusion360 report - 9% sales uplift. - 13% increase in wallet share. - 23% saved on marketing costs. Live in four weeks 1. Ingest: Use built-in connectors to bring online and offline data in. 2. Transform: Apply advanced AI-driven transformation rules to clean and enrich it. 3. Create segments: Profiles build in minutes, enabling AI-based and NLP segmentation. 4. Run campaigns: Activate personalised campaigns against those segments and measure revenue. Before and after Fusion360 - Data unification: Months -> Hours. - Segment creation: Days -> Minutes. - Audience engagement: Low interaction -> High interaction. - Personalisation: Generic -> Hyper-personalised. - Marketing attribution: Months -> Hours. - Revenue impact: Below average -> Above average.
The problem it solves
  • Customer data sits in separate systems: POS, e-commerce, CRM, loyalty, service desk, campaign tools and offline registers.
  • The same customer appears several times under different identifiers, so no team can answer basic questions reliably.
  • Marketing falls back on broad segments, and revenue opportunities such as cross-sell, repeat purchase and churn prevention are missed.
How it works
  • Connect existing online and offline data sources without replacing current systems.
  • Resolve identities so one customer becomes one profile across channels.
  • Enrich each profile with transactions, engagement, preferences and predicted behaviour.
  • Build audiences and push them to the channels the client already uses.
  • Measure the business outcome of each activation and repeat what works.
Who it is for
  • Businesses with a large base of identifiable customers and repeat-purchase potential.
  • Teams whose customer data is spread across three or more systems.
  • Marketing, CRM and business teams that need to act on data, not just report on it.
Typical business outcomes
  • More repeat purchases from existing customers.
  • Higher cross-sell and upsell conversion from relevant offers.
  • Lower churn through earlier detection of at-risk customers.
  • Better campaign relevance and less wasted spend.
  • A single, trusted view of the customer for every team.
Implementation approach
  • Start with one measurable use case and two data sources.
  • Prove identity resolution and profile quality on real client data.
  • Deliver one activation output per agreed use case.
  • Review results, then extend sources, use cases and automation.

Key capabilities

Customer database vs actionable CDP
Useful when a client says they already have a customer database.
AspectCustomer databaseActionable CDP
PurposeStores customer recordsDrives customer action
IdentityDuplicates across systemsResolved into one profile
DataMostly static attributesAttributes, behaviour and predictions
OutputReports and extractsAudiences, journeys and activations
OwnershipIT-ledBusiness-led with IT support
MeasurementData quality metricsRevenue, retention and campaign outcomes
Prewritten descriptions
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Fusion360 is a customer context platform. It unifies online and offline customer data into reliable profiles, resolves duplicate identities, and turns that view into audiences, predictions and activations. Business teams can act on customer intelligence directly, starting with one focused, measurable use case.