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Databook Salesforce Integration

An introduction to Databook’s Salesforce integration and the value it offers.

Alex avatar
Written by Alex
Updated over a month ago


Overview

Databook’s Salesforce integration is a secure, configurable way to sync selected CRM data between your Salesforce instance and the Databook application. Sharing specific objects and fields enables AI insights and agentic workflows tailored to the accounts and opportunities your team is working on—helping generate more pipeline, close bigger deals, and boost GTM productivity.

Note: Please see the separate installation guide for set-up steps. Our team can guide you through the process.


What the Integration Does

The integration securely shares CRM data with Databook while giving you full control over what is included. Key capabilities:

  • Secure set up: Authorize access without sharing sensitive credentials.

  • Easy configuration: Choose which CRM objects and fields to share and start syncing with a click.

  • Full control: Include or exclude specific data points at any time via a secure, read-only connection.

By default, the integration syncs selected standard fields for Account and Opportunity to enable popular agentic workflows (see list below). Some workflows may require additional objects or custom fields.


How the Integration Offers Value

Syncing CRM data allows Databook to understand the context of your accounts and in-flight opportunities and customize data-driven, customer-centric GTM intelligence accordingly. Example agentic workflows include:

  • Whitespace recommendations: Identify untapped revenue opportunities based on the customer’s priorities and what’s already been sold at the account—driving more, higher-quality pipeline.

  • Automated account plans: Use opportunity and contact context to automate more of your account plan, which stays up to date whenever data changes—boosting productivity.

  • Deal acceleration insights & coaching: Get alerts on risks and coaching to unblock stalled deals, grounded in both customer priorities/urgency and the deal’s history—improving close rates and forecast accuracy.


How Databook Uses Customer Data

Databook uses customer data (e.g., CRM data) only for the purposes agreed in your Master Subscription Agreement, and has organizational, contractual, and technical controls in place to enforce this. Databook is SOC 2 Type 2 certified. See more in the Trust Center and Security & Privacy FAQs.

Key design principles of the Salesforce integration:

  • Tenant isolation with dedicated compute resources

  • Identity segregation with tenant-specific service principals and least-privilege access

  • Data lineage tracking from source to destination

  • Security-first, zero-trust architecture requiring explicit permissions

  • Built on a multi-tenant architecture with strong data isolation and row-level security

Useful links


Default Synced Objects & Example Fields

These examples reflect commonly synced standard fields that enable popular agentic workflows. Your configuration may differ based on your needs.

Object: Account (examples)

  • Account ID

  • Annual Revenue

  • Description

  • Industry

  • Name

  • Number of Employees

  • Owner ID

  • Parent ID

  • Ticker Symbol

  • Website

Object: Opportunity (examples)

  • Account ID

  • Amount

  • Close Date

  • Description

  • Forecast Category

  • Is Won / Is Closed

  • Last Activity Date

  • Last Stage Change Date

  • Name

  • Next Step

  • Opportunity ID

  • Owner ID

  • Probability

  • Stage Name

  • Type

Additional objects/fields: Some workflows may require syncing additional objects such as Opportunity Contact Role, Contact, and specific custom fields to align with your sales methodology and GTM operations.

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