Focus on the right accounts at the right moment, with enough context to start a real conversation.

Most lists tell you who to contact. What reps need is when and why now. This growbook shows how to use GrowthOS to turn product behavior and fit criteria into clear, living queues for outreach. You’ll enrich just the fields you actually use, qualify leads with simple, transparent rules, and act on signals quickly without juggling tools.
We’ll use Otto (a demo SaaS platform) to illustrate the approach.
Result: Fewer cold touches, more timely conversations.
Check or define key Events to confirm the following are tracked: ’added to cart’, ‘clicked on product’, ‘started checkout’ and create new events If any events are not readily available from ‘create event’.

Import users/accounts from your list or connected sources. Use a Research Agent to enrich the few fields that change how you write or route (role, seniority, tech stack, industry). If contact details are missing, fill just what you need for the first touch.

Create a Qualification Agent that scores Sales Readiness using:

Create segments like ‘High Fit + High Activity’, ‘High Fit + Medium Activity’

Launch a Journey for your top segment. Keep it short: two or three steps with natural spacing.
In Journey Analytics and Dashboards, look at: replies, meetings created, cycle time, and opportunities/wins by readiness level. Notice which signals show up most often before a meeting, and adjust your Agent weights or segment rules accordingly.

Unlike traditional CRMs that rely on manual data entry and static records, Intempt uses AI agents to research, segment, qualify, and enrich leads continuously, keeping your pipeline moving without constant human intervention.
The built-in CDP unifies all your customer data across channels into a single profile. It resolves user identities by merging anonymous and known sessions, connects users to their companies, and combines behavioral, firmographic, and journey data. This gives your team a complete, real-time view of every customer.
You can create customer segments simply by describing them in plain language. The AI analyzes lifecycle, qualification, and engagement data to build segments automatically. These segments update in real time as new data comes in, so your campaigns always target the right audience.
Intempt pulls live enrichment data from external sources, including People Data Labs, DropContact, and other public databases. This fills in missing attributes on user and account records automatically, keeping your data complete and current.
Yes. Intempt includes built-in consent management tools for GDPR and CCPA compliance. You can collect and track user permissions, handle right-to-be-forgotten and data portability requests with one click, and offer customers a customizable preference center.
Intempt offers native integrations with popular platforms, including HubSpot, Shopify, Stripe, and more. It provides real-time data sync across your CRM, marketing, and eCommerce tools, with customizable triggers, field mappings, and data flows to fit your specific workflows.
Zero theory or mindset discussions here; just actionable marketing tactics that will grow revenue today.
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