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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

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%

Marketers get full self-serve access to customer data to power campaigns and personalization

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%

Connect to 250+ tools

Send any data to any tool. Skip building and maintaining pipelines, uploading CSVs, and having data silos across marketing, sales, customer success, finance, and analytics.

PostHog
Facebook Custom Audiences
PostgreSQL
Slack
Redis
Awin
Retention Science
Salesforce
Vitally
Google Drive
AlloyDB
NetSuite (REST)
Planhat
Google Retail
Microsoft Teams
Criteo
Genesys
Monday
Optimizely
Poplar
Sage Intacct
Marigold Engage (Selligent)
WhatsApp
Yahoo
Salesforce Pardot
Google Display & Video 360
Bloomreach
Brevo
Taboola
Twilio
Databricks
Workday Adaptive Planning
Google Sheets - Service Account (Recommended)
Salesloft
Kameleoon
Campaigner
Notion
Braze Cohorts
Adobe Experience Platform
Userflow
Vizio Ads
Branch.io
Appcues
Attio
Microsoft OneDrive
SMTP Email
Gainsight PX
Split
LiveIntent
Insider InOne
Dynamic Yield
Kustomer
Batch
Google Cloud Pub/Sub
X Ads (formerly Twitter Ads)
Pendo
Liftoff
CleverTap
BigQuery
Adform
Apache Kafka
PlanetScale
Close
Rockset
StackAdapt
Kayzen
Chameleon
Outreach
Customer.io
OneSignal
SQL Server
LaunchDarkly
Orbit
Impact.com
LG Ad Solutions
Pinterest Ads
Segment
Roku Advertising
Responsys
Box
Microsoft Ads (Bing Ads)
Upland Waterfall
Samsung Ads
Rokt
Microsoft Sharepoint
Adobe Campaign Classic
Oracle DB
Adobe Target
Stripe
MongoDB
Salesforce Pardot (Sandbox)
HubSpot
Mailchimp
VWO Attribute Lists
MinIO
Hightouch Personalization API
Salesforce Marketing Cloud
Maxio
Freshdesk
Google Ads
Elasticsearch
Calixa
S3
Statsig
Reddit Ads
Airtable
Salesforce Commerce Cloud
Google Campaign Manager 360
Cendyn
Google ADH (BigQuery)
SAP HANA
Talon.One
Nextdoor
Amazon EventBridge
InMobi
Ortto
AWS Lambda
Amplitude
Medallia
Sailthru
Smartsheet
Embedded Destination
Dropbox
Apollo.io
TikTok
Workday
CJ Affiliate
Acoustic
NetSuite (SOAP)
Zapier
Courier
Xero
ServiceNow
Cordial
Algolia
Adikteev
AppsFlyer
BigCommerce
Bluecore
Gong
CitrusAd
Klaviyo
OfferFit
Loops
Google Sheets - User Account
ActiveCampaign
Facebook Conversions
Google Cloud Functions
Pipedrive
Gainsight
Common Room
MoEngage
Zendesk
PAR Retail Stuzo Open Commerce
Campaign Monitor
HubDB
Twilio SendGrid
Asana
Xandr
Reply.io
Google Analytics
Totango
Google Ad Manager 360
Jira
MariaDB
iSpot.tv
Zoomd
NCR Advanced Marketing Solution
Salesforce (Sandbox)
Amazon Ads DSP and AMC
Zoho CRM
Gladly
Webflow
ChurnZero
Facebook Product Catalog
Zuora
Amobee
Azure Functions
DynamoDB
RabbitMQ
The Trade Desk
Auth0
Freshsales
Rockerbox
Mixpanel
Snapchat
Help Scout
CockroachDB
Azure Blob Storage
SugarCRM
Marketo
Shopify
SFTP
Rudderstack
Heap
HTTP Request
EnjoyHQ
MySQL
ClickUp
Mattermost
Delighted
Attentive
Qualtrics
ChartMogul
Amazon SQS
Emarsys
Front
Google Cloud Storage
Digital Turbine
Facebook Offline Conversions
Anaplan
PartnerStack
Beeswax
LinkedIn Ads
FullStory
SAP IBP
OpenSearch
User Interviews
Dynata
Microsoft Excel
Microsoft Dynamics 365
Chargebee
Drift
ClientSuccess
Eloqua
Amazon Kinesis
Marigold Engage+
LINE Ads
Iterable
Braze
Vero Cloud
Firestore
Vistar Media
Intercom
mParticle
Google Search Ads 360
Adjust
Airship
QuickBooks
Singular
PostHog
Facebook Custom Audiences
PostgreSQL
Slack
Redis
Awin
Microsoft Ads (Bing Ads)
Upland Waterfall
Samsung Ads
Rokt
Microsoft Sharepoint
Adobe Campaign Classic
Google Analytics
Totango
Google Ad Manager 360
Jira
MariaDB
iSpot.tv