---
title: How to Source Fit Plus Intent Data
description: What are some of the best known sources of fit and intent data to help you identify and prioritize ideal customers?
image: https://www.intentdata.io/hubfs/marius-masalar-CyFBmFEsytU-unsplash.jpg
---

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# How to Source Fit Plus Intent Data

![marius-masalar-CyFBmFEsytU-unsplash](https://www.intentdata.io/hubfs/marius-masalar-CyFBmFEsytU-unsplash.jpg)

Sep 16, 2019 | Author [John McTigue](https://www.intentdata.io/intent-data-blog/author/john-mctigue)

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Originally published in [LinkedIn](https://www.linkedin.com/pulse/how-source-fit-plus-intent-data-john-mctigue/).

With a solid [fit-plus-intent strategy](https://www.intentdata.io/intent-data-blog/fit-plus-intent-the-new-b2b-metric-for-abm-qualification) in place, your next step is to find the right data to create a working model you will use to identify and score high quality leads and accounts. Let's call this your your **customer data stack**. *You will find that one or two sources alone just don't cover enough data points to reliably predict fit and intent*. The options are endless, but your strategy should guide you. Are you aiming for an industry niche audience, or maybe a certain size company? Are there personas within your niche that may be your best fit prospects? Are you deploying an ABM strategy, or a blend of inbound and outbound lead generation? Let's take a look at a typical scenario and explore some of the best known input data options.

### Target Account - Mid-Size North American FinTech

**Account:** Mid-Market SaaS Company, B2B, Financial Sector Focus, U.S. and Canada

**Persona**: C-Suite through Director Level, Revenue, Compliance, P & L, Board Reporting

### Account and Persona *Fit*

**Desired Account Data**: Company Name, Location, Industry, SIC, Type of Firm, Annual Revenues, Employees, Public/Private, Leadership, Investors, Market Share, Market Cap, Year Founded, Technology Used, Technology Sold, Technology Budget, Competitors

**Desired Persona Data**: Name, Job Title, Role, Department, Email, Phone, Location, Years in Business, Years in Position, P & L Responsibility (Y/N), Buying Team Lead (Y/N)

**Firmographic/Demographic Data Sources**: Clearbit, ZoomInfo, DiscoverOrg, LinkedIn, DNB, Hoovers, Alteryx, Aberdeen, InfoUSA, UpLead, Melissa

**Technographic Data Sources:** HG Data, Datanyze, G2 Crowd, UpLead

### Account and Persona *Intent*

**Desired Account/Persona Intent Data**: Ads Clicked/Converted, Emails Opened/Clicked, Visits to Website, Chats Opened, Nature of Chats Opened, Velocity of Visits to Website (Recency + Frequency), Specific Pages Visited, Time on Pages + Bounce Rate, Visits to Competitor Sites, Subscription to Blog/Podcast, Relevant Keyword Searches, Interest Level in Relevant Topic, Velocity of Interest in Relevant Topics, Consumption of relevant content, Publication of Relevant Content, Subscription to Relevant Content Sources, Follows of Relevant Authors, Social Media Likes, Relevant Comments/Questions in Social Media, Changes in Job Status and Responsibility, Events Registered + Attended, Calls/Meetings Scheduled, Calls/Meetings Attended

**First Party Intent Data:** Google Analytics, Google Search Console, Google Adwords, Facebook Ads, Marketing Automation (e.g. HubSpot, Salesforce, Marketo), Drift, LinkedIn (Sales Navigator), Wordpress, Kissmetrics, SEMRush, Intercom, LeadFeeder, PaveAI

**Third Party Intent Data**: [IntentData.io](https://intentdata.io/), Bombora, TechTarget, Leadspace, Aberdeen, Triblio, 6Sense, Demandbase, Everstring, Lattice Engines, Madison Logic

### Making Intelligent Choices

Before you dive into building an optimized data stack for your business, it's smart to investigate these (and other) data sources and choose the right ones in each category for your target audience and sales and marketing processes. You'll find that there are overlaps and choices by deliverables, price and ease of integration with your tech stack. In my next post, we'll take a look at a few more scenarios and data stacks that make sense and dive into more details between the types of data deployed, why they're ideal, and how much they may cost.

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What is Intent Data

- [What is Intent Data](https://www.intentdata.io/what-is-intent-data)

Why Intent Data

- [Intent Data Overview](https://www.intentdata.io/purchase-intent-data)
- [What is Intent Data](https://www.intentdata.io/what-is-intent-data)
- [Contact-Level Intent Data](https://www.intentdata.io/customer-intent)
- [Integrations](https://www.intentdata.io/prospect-data)
- [Differences](https://www.intentdata.io/first-party-intent-data)

Data Strategies

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