Skip to main content
Log inGet a demo

The ultimate guide to CDPs for technology & B2B SaaS

Learn everything there is to know about CDPs in technology & B2B SaaS, including global trends, key insights, use cases, how leading technology & B2B SaaS companies are leveraging personalization, and a framework for evaluating CDP vendors.

A photograph of four people sitting at a table with a list of example data tables overlayed. The data tables included are for Accounts, Product Usage Logs, Subscriptions, Users, and Churn Metrics.
Leverage all your technology & B2B SaaS data, including accounts, users, subscriptions, transactions, product usage logs, and churn metrics.

Trusted by leading technology & B2B SaaS companies

Plaid.
GitLab.
Ramp.
Iterable.
Calendly.
Mixpanel.
Grammarly.
Malwarebytes.
Retool.
Greenhouse.
Acxiom.
Miro.

Why are technology & B2B SaaS companies adopting CDPs?

AI has leveled the playing field in the world of technology, and great products are no longer enough. 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.

Grow LTV & ARR
Reduce churn
Build loyalty

Leveraging your customer data in technology & B2B SaaS is more important than ever before

$11T2Estimated global
tech spending by 2026

56%3of customers expect
personalized experiences

$3.86M4average cost
of a data breach

Industry leaders in technology & B2B SaaS differentiate themselves with personalization

Hightouch creates a year-in-review campaign for all customers every year

Learn more

Docusign is powering customer 360 for the entire sales organization

Ramp has a fully automated outbound sales team which drives 25% of all sales pipeline via personalized emails

technology & B2B SaaS use cases

Acquisition campaigns

Drive lead generation and new user acquisition by targeting decision-makers and lookalike audiences with firmographic and behavioral data, offering free trials or personalized demos.

Suppression campaigns

Reduce wasted ad spend by suppressing active customers from acquisition campaigns using CRM data, reallocating budget toward net-new accounts to improve ROAS.

Retargeting campaigns

Re-engage users who visited the site or started a demo but didn’t convert by serving tailored ads emphasizing pain-point solutions, recovering lost leads and nurturing prospects.

Cross-sell campaigns

Promote complementary SaaS tools or add-ons by using product usage data to target accounts with relevant upgrades, increasing account expansion and customer retention.

Referral campaigns

Leverage existing users to generate new leads by offering referral incentives like free months or premium features, driving cost-effective signups through user advocacy.

Account-based marketing campaigns

Focus on specific high-value accounts or industries using a combination of personalized content, multi-channel outreach, and intent data to increase engagement and conversion rates among key decision-makers.

Free trial promotions

Acquire new users by advertising free trials to qualified prospects through personalized ads, increasing trial sign-ups and overall lead generation.

Conversion APIs

Improve campaign optimization by sharing online and offline conversion data with ad platforms, enabling algorithms to better identify high-likelihood converters and optimize campaign performance.

Technology & B2B SaaS media networks

Monetize software usage data by analyzing engagement patterns and creating high-value B2B audience segments, selling insights to SaaS providers targeting scaling businesses.

What technology & B2B SaaS 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 user behaviors or SaaS account hierarchies
Supports tailored models to handle SaaS-specific data like account usage metrics, customer hierarchies, and churn risk
Audience management
Supports broad segmentation but struggles with categories like product usage cohorts or account roles
Enables granular segmentation using engagement data, account types, and purchasing intent
Customer journey customization
Provides standard templates for campaigns like onboarding or feature announcements
Powers fully adaptable journeys for SaaS events like product adoption, upgrades, renewals, or account expansion
Identity resolution
Relies on out-of-the-box algorithms that may not unify profiles across CRM product logs and trial systems
Supports custom algorithms to unify customer profiles across CRMs, usage data, and customer support tools
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 to handle SaaS-specific data like account usage metrics, customer hierarchies, and churn risk
  • Audience management
    Enables granular segmentation using engagement data, account types, and purchasing intent
  • Customer journey customization
    Powers fully adaptable journeys for SaaS events like product adoption, upgrades, renewals, or account expansion
  • Identity resolution
    Supports custom algorithms to unify customer profiles across CRMs, usage data, and customer support tools
  • Pricing
    Unbundled: individually priced features with no MTU billing
  • Average implementation time
    1-4 months

Why Hightouch for technology & B2B SaaS?

Your CDP vendor should mold to your data — not the other way around. Hightouch is purpose-built to handle the complexity of technology & B2B SaaS.

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 technology & B2B SaaS

Members

Overlap

Product evaluators who didn’t convert

2,988 members

1,974 members

Free trial users who didn’t upgrade 2,988

Webinar attendees 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.

An animated image of an AI chess game.

Checkmate: the power of AI Decisioning in marketing

A new wave of AI is mastering marketing’s infinite game

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
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