Financial Services & Fintech Marketing Agency | NUUN

Quick answer

NUUN Digital's Financial Services & Fintech practice serves banks, credit unions, insurers, wealth managers, lenders, and fintech challengers with acquisition, retention, and digital transformation — built for the sector's compliance reality. We run compliance-aware marketing, CDP implementation, MMM and MTA, AI builds, and revenue-accountable campaigns across Canada, the US, and the GCC.

PIPEDA · SOC 2

Audit-grade data work · delivered

MMM + MTA

Triangulated attribution for banks

Model-risk

AI builds ship with regulator-ready docs

NA + GCC

Jurisdictions we currently operate across

What financial services clients hire us for

Acquisition with compliance sign-off in the workflow — not a review bottleneck at launch. Retention and expansion through churn models, next-best-product, and lifecycle programs that move LTV. Brand and positioning, especially for challengers and regional banks facing national competition. CDP implementation unifying core banking, marketing, and servicing data under audit-grade governance. AI builds — RAG-based advisor assistants, fraud-pattern detection, personalization engines — with model-risk governance. Research across product design, competitive intelligence, audience segmentation, and category tracking.

What's different about financial services at NUUN

Compliance is scoped week one, not week twelve. Every campaign and model build runs with a compliance review loop embedded in the workflow — AMF, OSFI, FINRA, FCA, or sector-specific regulator depending on client and jurisdiction.

Audit-grade data work — our Data Management practice has delivered under SOC 2, PIPEDA, PCI-DSS, and GLBA requirements, with data residency scoped week one. AI with model-risk management — every AI build ships with model-risk documentation suitable for regulator review: bias testing, explainability, drift monitoring, and incident response.

Named methods we apply in financial services

Customer lifecycle modelling — churn, next-best-product, LTV, and reactivation propensity models. MMM + MTA hybrid attribution for diversified acquisition channels. Compliance-aware campaign review — creative, copy, and targeting review loops with named sign-off roles. Voice of Customer — VoC instrumentation across branch, contact centre, digital, and social. Public opinion polling for issue and regulatory work, including consumer protection and policy response.

Segments we work across

Retail banking · Credit unions · Insurance (P&C and life) · Wealth and asset management · Lending (consumer and commercial) · Fintech (payments, banking, wealth, lending) · Capital markets · Crypto / digital assets (selective).

Selected work

Financial services client — CDP implementation unified 14 data sources; attributed $[X]M incremental revenue in 12 months. Read case →
Anonymized — fintech client — Predictive churn model retained [X]% of flagged accounts. Read case →
Anonymized — insurance client — Repositioning + full-funnel rebuild → [X]% incremental quote volume. Read case →

Sources & further reading

Office of the Superintendent of Financial Institutions (OSFI) (Canadian federal financial regulator)
FINRA (US broker-dealer regulator)
Financial Conduct Authority (FCA) (UK financial regulator)
NIST AI Risk Management Framework (AI governance framework applied to all FS AI builds)
MASB — marketing measurement standards (measurement standard used in our attribution work)

NUUN Digital Financial Services Practice — Head of Strategy. Financial services growth marketing, compliance-aware CDP and attribution, regulator-ready AI governance across OSFI, FINRA, and GCC regulators.

Financial Services & Fintech FAQ.

Which regulators have you worked under?

Canadian (OSFI, AMF, provincial securities regulators), US (FINRA, SEC, state insurance regulators, OCC, FDIC), UK/EU (FCA, ESMA), and GCC (SCA in the UAE, QFC in Qatar). Specific compliance experience depends on the client; we scope this in intake.

Can you work with a client mid-migration on core banking systems?

Routinely. Marketing, CDP, and analytics work often runs in parallel with core modernization. We coordinate with systems integrators and in-house data teams to avoid conflicts.

Do you handle AI governance for regulated financial services?

Yes. Every AI build ships with a model-risk package — model inventory entry, validation results, bias testing, drift monitoring, and an incident runbook — suitable for sharing with model-risk management or regulators.

Do you work with crypto or digital-asset clients?

Selectively. We require regulatory clarity in the client's operating jurisdictions and a compliance function on the client side. We decline engagements where the regulatory position is unclear.

What attribution models work best for financial services?

For diversified banks and insurers, hybrid MMM + MTA with brand tracking layered in. For product-specific acquisition (credit card, lending, insurance quote), MTA with fraud-filtering. For challengers with digital-only stacks, MTA with cohort LTV. Tool selection follows the data reality.

Can you support retail banking, wealth, and insurance under one engagement?

Yes — though we almost always sequence by line of business. Retail banking, wealth, and insurance carry different regulators, different data realities, and different buyer psychologies. We scope a line-of-business priority in week one and build attribution per LoB.

Growth that passes compliance.