How to Connect Intent Data to 2,000 Platforms

Using Intent Data Inside of 2,000 Platforms – Unlocking the Power of Data Automation.

00:00:02 – Welcome to the Future of Data Automation

Welcome to the first workshop of 2025! We knew this was going to be a big one, and we weren’t wrong. We dove deep into the world of data automation, exploring how to connect, structure, and activate data seamlessly. If you’ve ever struggled with getting massive datasets to work for you rather than against you, this session was a game-changer.

We were joined by Titus, the mastermind behind Boost Space—a platform that combines OpenAI, Google Sheets, Airtable, and every CRM on the planet into one seamless system. This isn’t just another automation tool; it’s a way to integrate with over 2,000 different applications while keeping everything clean and structured.

00:01:12 – The Magic of App Flows

One of the most exciting parts of this session was the introduction of App Flows. These are pre-built workflows designed by Boost Space to help users get started with automation in just a few clicks. No more wrestling with APIs or worrying about complex integrations—App Flows allow businesses to connect data sources instantly and efficiently.

But why does this matter? Well, if you’ve ever had to manually move data between platforms, you know how time-consuming and error-prone the process can be. With Boost Space, we’re talking about structured, automated workflows that ensure data is not only moved but enriched, filtered, and optimized before it even reaches its final destination.

00:03:31 – Where Does the Data Come From?

We tackled a question that always comes up: Where does all this data originate?

Boost Space taps into over 70 billion data points using a mix of bid stream data, transactional history, search data, and partnerships. We’re talking about real-time, verified data flowing into a structured pipeline.

The process is rigorous, too. Data goes through six milestones before it’s even available for use. These include:

1. Context Analysis – Ensuring the data aligns with relevant industries and topics.

1. Activity Monitoring – Tracking engagement levels over time.

1. Intent Verification – Identifying individuals who are actively searching for a solution.

1. B2B and B2C Matching – Connecting business data with personal profiles.

1. Skip Tracing – Cross-referencing multiple data sources to validate accuracy.

1. Real-time Validation – Scraping and verifying contact details to ensure reliability.

This means that when you receive a dataset, you’re not just getting a list of names and emails—you’re getting contextually rich, highly targeted information that’s primed for action.

00:09:39 – The Key to Activation: Connecting Data to Workflows

Here’s the million-dollar insight from this workshop: Data sitting in a spreadsheet is useless. The real power comes from activating it.

Boost Space allows you to push structured data into automation platforms like Instantly, SmartLead, and CRMs, ensuring that every lead, contact, and opportunity is actually put to work. The goal? To move from static data to dynamic action.

One of the simplest ways to get started is by syncing data from Audience Lab into Boost Space contacts. From there, you can integrate it into over 2,000 different applications, including:

- Email marketing platforms (Instantly, SmartLead, Klaviyo)

- CRM systems (HubSpot, Salesforce, Pipedrive)

- Outreach tools (LinkedIn automation, cold call integrations)

- Ad platforms (Facebook Custom Audiences, Google Ads Retargeting)

With App Flows, these connections are pre-built and ready to deploy. This means less time configuring settings and more time actually running campaigns.

00:20:19 – The Blueprint for Scalable Automation

One of the most requested features we discussed was scalability. How do you manage data for multiple clients, run large-scale outreach campaigns, and keep everything organized?

Boost Space solves this by allowing you to set up custom spaces for different verticals or clients. Think of it like a CRM, but one that’s optimized for automation.

Example use case: A recruiter wants to reach out to businesses actively hiring. The workflow would look like this:

1. Audience Lab pulls fresh hiring signals from the web.

1. Data is automatically pushed into Boost Space contacts via an API connection.

1. The recruiter’s outreach campaign is triggered, pushing validated leads into Instantly or SmartLead.

1. Follow-ups are automated, using pre-built workflows that activate cold emails, LinkedIn messages, or even cold calls.

Instead of manually downloading spreadsheets and uploading them to different platforms, this process runs on autopilot—every single day.

00:47:30 – Handling Large Data Sets Without Breaking APIs

A common issue in data automation is API limits. If you’ve ever tried to push 80,000 contacts into an email platform, you’ve probably run into rate limits and frustrating timeouts.

Boost Space fixes this by bundling data into optimized segments. Instead of sending one contact at a time (which burns through API calls), it intelligently groups data, allowing for bulk processing. This is particularly useful for:

- Large email campaigns (batching contacts to prevent overload)

- CRM integrations (syncing structured datasets instead of raw exports)

- Ad targeting (ensuring the freshest data is used without API errors)