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The ultimate guide to CDPs for financial services

Learn everything there is to know about CDPs in financial services, including global trends, key insights, use cases, how leading financial services companies are leveraging personalization, and a framework for evaluating CDP vendors.

A photograph of a person using a tablet with a list of example data tables overlayed. The data tables included are for Loan Applications, Payment Records, Customers, Accounts, and Risk Profiles.
Leverage all your financial services data, including customers, accounts, transactions, risk profiles, loan applications, and payment records.

Trusted by leading financial services companies

RenoFi.
M1 Finance.
Wealthsimple.
Chime.
Ramp.
Betterment.
SoFi.
Plaid.
RenoFi.
M1 Finance.
Wealthsimple.
Chime.
Ramp.
Betterment.
SoFi.
Plaid.
Read case studies

Why are financial services companies adopting CDPs?

In financial services, trust is everything. Customers have more options than ever for banking, insurance, and investments. With 80% of revenue coming from just 20% of customers,1 customer loyalty is everything. Data is your only advantage to stand out in a sea of virtually endless options.

Build loyalty
Grown LTV
Reduce churn

Leveraging your customer data in financial services is more important than ever before

$44T2Estimated market
cap for financial services by 2028

56%3of customers expect
personalized experiences

$3.86M4average cost
of a data breach

Industry leaders in financial services differentiate themselves with personalization

Wells Fargo analyzes billions of digital interactions to power personalized conversations for 70 million customers

Learn more

Chime uses Hightouch to optimize acquisition costs and audience targeting across paid media

M1 Finance’s marketing team builds audience segments using over 750 attributes

financial services use cases

Acquisition campaigns

Drive new customer acquisition using demographic and transaction data to target potential customers and untapped lookalike audiences with promotions like no-fee accounts or higher APY savings, increasing new account sign-ups.

Suppression campaigns

Reduce wasted ad spend by using CRM data to suppress active account holders from acquisition campaigns and reallocate budget toward new prospects, improving ROAS and campaign efficiency.

Retargeting campaigns

Re-engage users who started but did not complete an application by retargeting them with incentives like fee waivers or account-opening bonuses to recover lost prospects and drive incremental account openings.

Cross-sell campaigns

Promote complementary financial products to existing customers by using credit card spend data to serve personalized loan offers, increasing wallet share and fulfilling unmet financial needs.

Referral campaigns

Leverage existing customers to attract new users by offering referral promotions that provide incentives for both the referrer and the new customer, driving cost-effective acquisition and advocacy.

Prequalification campaigns

Highlight prequalified financial offers by serving personalized ads featuring credit card or mortgage rates to eligible customers, increasing application conversion rates.

Education campaigns

Build trust by offering free educational resources such as financial literacy webinars to attract high-value leads, strengthening brand loyalty and acquiring informed customers.

Conversion APIs

Share online and offline conversion data with ad platforms, enabling algorithms to better identify and target users with a higher likelihood of converting to improve campaign performance.

Finance media networks

Monetize customer insights and first-party data by offering anonymized audience segments to financial brand partners for targeted advertising, generating incremental revenue through premium audience data sales.

What financial services companies should consider when evaluating a CDP

90%5 of marketers say their traditional CDP does not do what they need, so why do they keep buying them?

CategoryTraditional CDPComposable CDP
Architecture
Operates as a separate entity, removed from your company’s data
Integrates directly within your company’s data infrastructure
Security & data storage
Data is stored and maintained in the CDP’s data infrastructure
Data is stored and maintained in your existing data infrastructure
Data access
Supports user and event data
Supports both online and offline data
Data modeling
Uses predefined models that may not fully capture complex account hierarchies or transactional categories
Supports tailored models for account hierarchies, transaction histories, and credit product relationships
Audience management
Supports Supports broad segmentation but struggles with categories like customer tiers, account types, or credit scores
Enables granular segmentation using financial attributes like transaction behaviors risk scores or account balances
Customer journey customization
Provides standard templates for campaigns like onboarding or email promotions
Powers fully adaptable journeys for financial events like loan approvals, credit upgrades, and savings goal milestones
Identity resolution
Relies on out-of-the-box algorithms that may not unify profiles across credit services and banking platforms
Supports custom algorithms to unify customer profiles across accounts, credit services, and digital banking
Pricing
Bundled pricing: dependent on monthly tracked users (MTUs) & feature add-ons
Unbundled: individually priced features with no MTU billing
Average implementation time
6-12 months
1-4 months
  • Architecture
    Integrates directly within your company’s data infrastructure
  • Security & data storage
    Data is stored and maintained in your existing data infrastructure
  • Data access
    Supports both online and offline data
  • Data modeling
    Supports tailored models for account hierarchies, transaction histories, and credit product relationships
  • Audience management
    Enables granular segmentation using financial attributes like transaction behaviors risk scores or account balances
  • Customer journey customization
    Powers fully adaptable journeys for financial events like loan approvals, credit upgrades, and savings goal milestones
  • Identity resolution
    Supports custom algorithms to unify customer profiles across accounts, credit services, and digital banking
  • Pricing
    Unbundled: individually priced features with no MTU billing
  • Average implementation time
    1-4 months

Why Hightouch for financial services?

Your CDP vendor should mold to your data — not the other way around. Hightouch is purpose-built to handle the complexity of financial services.

Leverage any data point in your warehouse – not just users, accounts, and events.

Build and activate audiences directly from your warehouse.

Integrate with your existing data infrastructure on your warehouse.

Abstract illustration of data getting sent from a data warehouse.

Leverage any data point in your warehouse – not just users, accounts, and events.

A complete CDP for financial services

Members

Overlap

Prospective borrowers with incomplete applications

2,988 members

1,974 members

Abandoned loan applications 2,988

Pre-approved credit card recipients 1,974

Member overlap 378 or 12.65%

Customer Data Platform resources

Explore Customer Data Platforms by industry

Discover why leaders across all industries and adopting CDPs and how they are taking action on their customer data to drive engagement and revenue.

An illustration listing names of different industries: Automotive, Consumer Subscriptions, D2C, Education, Financial Services, Healthcare, Insurance, Media & Entertainment, QSR (Food & Beverage), Retail, Technology & B2B SaaS, Telecommunications, Travel & Hospitality, and Utilities & Energy.
How a composable CDP works.

What is a Composable CDP?

Learn why Composable CDPs are seeing such rapid adoption, how they work, and why they're replacing traditional CDPs.

Free CDP RFP Template.

Free CDP RFP template: streamline your vendor evaluation

Building a tailored CDP RFP is key to choosing the right platform for your business. Use our free template and evaluation framework to focus on the most important features and values for your goals.

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