What keeps a two-way sync from writing something we didn't approve?

You declare what each connection may read and write, and the Data Engineer agent stays inside that. It publishes only to declared destinations, checks consent before a send, and fails loudly rather than creating anything on your account. If a synced property changes shape, it flags which segments depend on it before the write breaks them, so the handoff comes before the damage. You keep the strategy layer: which tools connect, which fields move, and which consent applies.

What platforms does Intempt integrate with?

Intempt integrates with CRM tools (Salesforce, HubSpot, Pipedrive), e-commerce platforms (Shopify, WooCommerce, BigCommerce), marketing tools (Mailchimp, Klaviyo), analytics platforms (Segment, Mixpanel, Amplitude), communication tools (Slack, Intercom, Twilio), and advertising platforms (Google Ads, Facebook Ads, LinkedIn Ads). Warehouses and streaming are in there too. We write Parquet into a bucket you own for Snowflake, BigQuery or Databricks to read, and publish to Kafka topics you declare.

How does real-time data sync work?

Intempt maintains bi-directional sync with connected platforms. Changes in your CRM, e-commerce store, or other tools are reflected in Intempt within seconds. Similarly, actions taken in Intempt (segment updates, journey triggers) can push data back to connected systems in real time - no handoff, no export step, no nightly reconciliation.

Can I set up custom integrations with webhooks?

Yes. Intempt supports both incoming and outgoing webhooks. You can receive real-time event notifications from external systems and trigger actions in external tools based on Intempt events. Full REST and GraphQL APIs are also available for custom data pipelines.

How do I connect a new data source?

Most integrations use one-click OAuth authentication: you authorize access and Intempt configures the connection automatically. For custom sources, you can use the REST API, JavaScript SDK, or server-side SDKs. Data warehouse connections use secure credential-based authentication.

Are integrations secure?

All integrations use encrypted connections (TLS/SSL) with granular permission controls. You can limit what data each integration can read or write, set up IP allowlists, and audit integration activity. Credentials are stored encrypted and never exposed in logs or the UI.

A clam holding a glowing pearl as streams of bubbles flow into it.

Customer data integration in one place.

Sync Shopify, Slack, Salesforce, and 60+ more both ways, with every product reading the same profile.

Part of the Data Hub. Connectors feed the unified profile layer that powers every downstream activation.

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Sources, platforms and destinations connecting to Intempt

Integration capabilities

Flexible options for any technical requirement

One-Click Connect

Connect popular tools in seconds with OAuth-based authentication and pre-configured settings.

Real-Time Sync

Bi-directional sync keeps your data fresh across all platforms with sub-second latency.

Webhooks

Receive real-time notifications for events and trigger actions in external systems.

REST & GraphQL APIs

Full API access for custom integrations, data pipelines, and advanced use cases.

Data Warehouse Sync

Connect your data warehouse for unified analytics.

Secure by Default

Encrypted connections and granular read and write permissions, so the guardrails on each connection stay yours to set.

Connect data sources and destinations

Bring in data from the tools you still use, and push activation signals where they're needed

CRM & Sales

Salesforce

HubSpot

Pipedrive

Copper

E-commerce

Shopify

WooCommerce

BigCommerce

Magento

Stripe

Marketing Automation

Mailchimp

Klaviyo

ActiveCampaign

Braze

Iterable

Analytics & Data

Segment

Mixpanel

Amplitude

Google Analytics

Data Warehouse & Streaming

Snowflake

BigQuery

Databricks

Amazon S3

Apache Kafka

Communication

Slack

Intercom

Zendesk

Twilio

SendGrid

Advertising

Google Ads

Facebook Ads

LinkedIn Ads

TikTok Ads

Twitter Ads

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Teams love it

They stopped stitching tools andhired one system.

Acquisition and retention are one connected motion. Personalizing the path before signup only pays off when the same system carries the user through onboarding afterward.

Anonymous traffic was not turning into registered users, and acquisition and retention were run as two separate problems. We ran Experiences on the anonymous visitor flow to put the right content and CTAs in front of each visitor, then handed new signups to automated Journeys for onboarding and deeper engagement.

455,396

users instrumented

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Judge experiments on revenue per visitor instead of conversion rate. A variant can win on conversions and still lose on revenue, and repeat buying only shows up when the whole journey is in one view.

High-intent shoppers browsed a large, specialized outdoor catalog, and browsing, product interest and purchase history sat in different places. We unified them into one customer view, then ran real-time personalization, intent-based segmentation and timely follow-ups on top of it, judging experiments on revenue per visitor.

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Build the pipeline on observed signals. When follow-ups trigger on intent, the team spends its time on the users who are genuinely engaging.

Static lead lists and timeline-based follow-ups were hiding who was actually engaging. We ran a signal-led outbound pipeline where follow-ups fire on real behavior: outbound replies, onboarding progress and product usage.

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Questions?Answered.

Everything you need to know about integrations in Intempt

01 / 07

We're stitching HubSpot free plus Mailchimp plus Calendly plus GA4 with duct tape. Is this just another connector to add?

No, it is the thing that ends the stitching. Four tools with three seams, and no single view of ad click to signup to trial to paid, because a connector moves fields and drops the identity on the way. Here every source writes into one resolved profile on one taxonomy, and every downstream product reads that same profile - segments, journeys, analytics and pipeline included - so nothing gets exported to a second tool to be usable. There is no integration engineer or consultant to staff in front of it either: most connections are one-click OAuth, keeping them healthy is a standing skill the Data Engineer agent runs, and they are live in the same session you add them.

Intempt Data

One system, fewer tools to manage

Replace the tools whose only job was joining the other tools, and connect what is left to one resolved profile. Free to start.

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