Pitch Deck Builder

Slide 1 - Fusion360 for [Client name] - Turn fragmented customer data into revenue-generating customer intelligence. - Focus industry: Retail & E-commerce - Built around 3 priority customer-data problems Slide 2 - The context - 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 (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) Slide 3 - What we heard - Customer data is scattered across systems - "Every team has its own list and none of them agree." - Campaigns run on broad, generic segments - "We blast the whole base and hope." - Customers stop buying and nobody notices - "We only see the drop in the quarterly numbers." Slide 4 - Customer data is scattered across systems - In their words: "Every team has its own list and none of them agree." - Why it happens: POS, e-commerce, CRM, loyalty and campaign tools each hold a partial record with no shared key. - Fusion360 answer: Data connectors plus identity resolution into one profile per customer - Outcome: One trusted customer view every team reads from, without replacing existing systems. - Measure: Duplicate rate and matched-profile coverage - Owner: IT / Data Slide 5 - Campaigns run on broad, generic segments - In their words: "We blast the whole base and hope." - Why it happens: Segment building depends on IT extracts, so teams reuse whatever list exists. - Fusion360 answer: Self-serve audience builder with size estimates and consent filtering - Outcome: Relevant audiences built by business teams in minutes instead of weeks. - Measure: Campaign conversion rate and unsubscribe rate - Owner: Marketing Slide 6 - Customers stop buying and nobody notices - In their words: "We only see the drop in the quarterly numbers." - Why it happens: No recency and frequency monitoring at profile level. - Fusion360 answer: Dormancy detection and churn-risk scoring with triggered win-back - Outcome: At-risk customers are contacted before they lapse. - Measure: Reactivation rate and churn reduction versus control - Owner: CRM Slide 7 - Capabilities this needs - Connect customer data - Bring online and offline sources together without replacing existing systems. - Resolve customer identities - Match records that belong to the same person across channels. - Create unified customer profiles - One profile per customer, kept current. - Generate customer intelligence - Turn profiles into decisions teams can use. - Build audiences - Self-serve audience building for business teams. - Predict next actions - Anticipate what a customer is likely to do next. - Activate journeys and campaigns - Push audiences to the channels already in use. Slide 8 - Before and after - 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 Slide 9 - Proof points - 9% Sales uplift - 13% Increase in wallet share - 23% Saved on marketing costs - 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. Slide 10 - Case study: Global sportswear brand - CRM operations were limited to batch email and SMS with customer data fragmented across retail, e-commerce, membership and behavioural systems. Fusion360 rebuilt the foundation and scaled it into a four-channel, behaviour-led engagement engine. - Challenge - Limited channel execution: CRM confined to email and SMS with only foundational reporting. - Challenge - Fragmented data: Customer records split across retail, e-commerce, membership and behavioural systems. - Fusion360 - Foundation: unified profile framework: CRM integration, a single customer view, an initial RFM model and BI dashboards for campaign visibility. - Fusion360 - Analytical depth: RFM expanded with online and offline parameters, plus 10+ real-time revenue and engagement dashboards. - $1.06M Revenue recovered - 28.3% Open rate - 52% Click-rate increase - 5.13% Cost saving - $11.9K Incremental demand Slide 11 - Four weeks to live - Ingest: Use built-in connectors to bring online and offline data in. - Transform: Apply advanced AI-driven transformation rules to clean and enrich it. - Create segments: Profiles build in minutes, enabling AI-based and NLP segmentation. - Run campaigns: Activate personalised campaigns against those segments and measure revenue. Slide 12 - Suggested next steps - Confirm the priority problems and the teams who own them. - Run a discovery session on data sources, identifiers and channels. - Agree success metrics and shape a focused proof of concept. - Start quickly, prove value through focused use cases, and scale without beginning with a large transformation project.