Client Benefits

Start from the pain the client describes, show the Fusion360 capability that answers it, then close with the business benefit.

Filter by team most affected:

Customer data is scattered across systems

"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 response: Data connectors plus identity resolution into one profile per customer

Connect customer data

Resolve customer identities

Create unified customer profiles

Business outcome: One trusted customer view every team reads from, without replacing existing systems.

Proof: Duplicate rate and matched-profile coverage

Owner: IT / Data

The same customer appears many times

"We mail the same person three times with three different offers."

Why it happens: No deterministic matching on email, phone, loyalty ID or customer code.

Fusion360 response: Configurable matching rules with household grouping and survivorship

Resolve customer identities

Create unified customer profiles

Business outcome: Fewer duplicate contacts, cleaner reporting and less customer irritation.

Proof: Contactable unique customers vs raw records

Owner: CRM

Store and online behaviour cannot be linked

"We do not know if an online browser bought in store."

Why it happens: Offline identifiers are captured inconsistently at the till.

Fusion360 response: Store-to-online recognition and unified transaction history

Connect customer data

Resolve customer identities

Generate customer intelligence

Business outcome: Cross-channel journeys become visible, so credit and targeting are accurate.

Proof: Share of offline transactions tied to a known profile

Owner: Business leadership

Campaigns run on broad, generic segments

"We blast the whole base and hope."

Why it happens: Segment building depends on IT extracts, so teams reuse whatever list exists.

Fusion360 response: Self-serve audience builder with size estimates and consent filtering

Build audiences

Activate journeys and campaigns

Business outcome: Relevant audiences built by business teams in minutes instead of weeks.

Proof: Campaign conversion rate and unsubscribe rate

Owner: Marketing

Customers stop buying and nobody notices

"We only see the drop in the quarterly numbers."

Why it happens: No recency and frequency monitoring at profile level.

Fusion360 response: Dormancy detection and churn-risk scoring with triggered win-back

Generate customer intelligence

Predict next actions

Activate journeys and campaigns

Business outcome: At-risk customers are contacted before they lapse.

Proof: Reactivation rate and churn reduction versus control

Owner: CRM

Cross-sell and upsell opportunities are missed

"We know they bought once, not what to offer next."

Why it happens: Category affinity and product sequence are not modelled.

Fusion360 response: Next-best-product scoring and category affinity on the client's own history

Predict next actions

Build audiences

Measure business outcomes

Business outcome: Higher basket value from offers that match real intent.

Proof: Cross-sell conversion and revenue per customer

Owner: Sales

Marketing spend cannot be justified

"We report opens, the CFO asks about revenue."

Why it happens: Activation and outcome data live in different tools.

Fusion360 response: Outcome measurement per use case, with control groups

Measure business outcomes

Activate journeys and campaigns

Business outcome: Revenue and retention attributed to each audience and journey.

Proof: Incremental revenue versus holdout group

Owner: Business leadership

Every data request waits in an IT queue

"A list takes two weeks, the moment has passed."

Why it happens: Manual extracts and bespoke SQL for each request.

Fusion360 response: Business-led workspace with governed, reusable audiences

Build audiences

Create unified customer profiles

Business outcome: Marketing moves at campaign speed while IT keeps governance.

Proof: Time from request to activated audience

Owner: IT / Data

Consent and privacy handling is uncertain

"We are not fully sure who we are allowed to contact."

Why it happens: Consent flags sit in the source systems that captured them.

Fusion360 response: Consent held on the profile and applied automatically at audience build

Create unified customer profiles

Build audiences

Business outcome: Only contactable customers are targeted, with an auditable trail.

Proof: Consent coverage and suppression accuracy

Owner: IT / Data

Past data programmes stalled before delivering value

"We tried a big platform project and it never landed."

Why it happens: Scope started with full transformation instead of one measurable outcome.

Fusion360 response: Incremental delivery: two sources, identity resolution, up to three use cases

Connect customer data

Measure business outcomes

Business outcome: Evidence in weeks, then scale on proven results.

Proof: Time to first activated use case

Owner: Business leadership

Pain point brief

Select pain points above to tailor this brief. Showing the four most common by default.

Fusion360 - pain points and how the platform addresses them Challenge: Customer data is scattered across systems What we usually hear: "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 response: Data connectors plus identity resolution into one profile per customer Business outcome: One trusted customer view every team reads from, without replacing existing systems. How we prove it: Duplicate rate and matched-profile coverage Challenge: The same customer appears many times What we usually hear: "We mail the same person three times with three different offers." Why it happens: No deterministic matching on email, phone, loyalty ID or customer code. Fusion360 response: Configurable matching rules with household grouping and survivorship Business outcome: Fewer duplicate contacts, cleaner reporting and less customer irritation. How we prove it: Contactable unique customers vs raw records Challenge: Store and online behaviour cannot be linked What we usually hear: "We do not know if an online browser bought in store." Why it happens: Offline identifiers are captured inconsistently at the till. Fusion360 response: Store-to-online recognition and unified transaction history Business outcome: Cross-channel journeys become visible, so credit and targeting are accurate. How we prove it: Share of offline transactions tied to a known profile Challenge: Campaigns run on broad, generic segments What we usually hear: "We blast the whole base and hope." Why it happens: Segment building depends on IT extracts, so teams reuse whatever list exists. Fusion360 response: Self-serve audience builder with size estimates and consent filtering Business outcome: Relevant audiences built by business teams in minutes instead of weeks. How we prove it: Campaign conversion rate and unsubscribe rate Next step: a short discovery session to confirm which of these matter most, followed by a focused proof of concept on two data sources.