Infer tells you: Which accounts are ready to buy. Who your reps should call. What they should sell them.

Put Your Data To Work

Turn your ABM playbooks into actionable pipeline with predictive account selection

Traditional account selection brings together sales’ and marketing’s best guesses about who your buyer is and how to map out their journey. Infer uses machine learning to answer those questions with uncanny accuracy.

Account selection is the most foundational part of your ABM strategy. If you’re off by one degree when you start, you’ll end up miles away from where you want to go. Get it right with Infer.

With advanced data modeling of your
buyer and their journey you can:

Accurately identify your best targets

Use machine learning to automatically build your target account list of companies that are not only a perfect fit for your business but will produce the higher recurring revenue.

Prioritize Deals You Can Win

Increase sales and marketing productivity by running your plays on accounts that are statistically most likely to convert.

Personalize your outreach

Gain key insight into account buyer profiles to plan better sales conversations and improve the customer experience.

Increase your win rate

Give your sales team the power to know who to call and when. With predictive behavior modeling, you can know which prospects at your target companies are giving off buying signals.

Are you ready for Account-Based
Marketing to work?

  1. Fit Scoring

    Infer fit models automatically research every prospect and identify those that are a good fit to buy your product.

  2. Behavior Scoring

    Infer’s behavioral models mine the full spectrum of activity data inside your marketing automation platform to help you identify which prospects are in-market and ready to buy.

  3. Account-Based Marketing

    Infer’s predictive platform is the fastest, most effective way to define high-value profiles for sales and marketing to focus on.

  4. Predictive Lead Generation

    Fuel account-based marketing and outbound efforts by feeding high-potential lists of accounts and contacts into the top of your funnel.


Plug in your databases

Connect Infer to your CRM and marketing automation platform.

Append thousands of data points to each record

Infer instantly enriches your database with thousands of demographic, firmographic and technographic data points. We’ll also instantly match individual records to their account.

Use machine learning to model the ideal target for everything you sell

Infer pairs you with a data scientist to create machine learning models of your unique ideal account profile and the behavior triggers that can tell you they’re ready to buy.

Automatically generate a list of target accounts

Infer generates a list of accounts that fit the profiles where you’ve had the best success.

Why not get a demo?

(We’re really nice. We promise you’ll like us)


A 360° view of your customer and their buying journey

Fit Model:

A perfect understanding of your target buyer

Behavior Model:

Uncover the hidden buying signals in your prospects’ behavior

Predictive Matrix:

A map of who is likely to buy and when


In days, not months

9.6 x
Conversion Improvement
51 %
Won Business from “A” Lead
30 %
Higher Deal Size

Frequently Asked Questions

  • 1. How is Infer different than traditional lead scoring?

    Many marketing automation systems support lead scoring. So how is Infer different?

    • Infer adds thousands of signals mined from across the web and your website
    • Infer applies machine learning to weigh each signal appropriately
    • Infer is able to automatically adjust to new signal and market dynamics
    • Infer can accurately determine “fit” on the first touch

    For more information on what sets Infer apart, click here.

  • 2. What external signals does Infer track?

    Our system pulls in several thousands of external signals, going well beyond what most organizations track in Salesforce.com or other CRM and marketing automation tools.

    Broadly speaking, Infer gets these signals from three sources: crawling the web, purchasing data and inferring signals from raw data sources.

    For more specific examples of the external data we use In Infer’s models, click here.

  • 3. Does predictive scoring work if I’ve got bad data?

    Our platform was designed to handle bad data. All that we really need to build the model is historical outcomes (which prospects converted and which prospects went on to become customers). We don’t require super clean customer profile data.

    To learn more about what data we need, click here.

  • 4. Does predictive scoring work if I’m trying to enter a new market?

    The short answer is yes. Predictive scoring can be extremely helpful in breaking into new markets.

    To find out more about the value predictive lead scoring can offer to someone pushing into a new market, click here.

  • 5. Which is more important when scoring leads, fit or behavior?

    While both ingredients provide valuable data points, the first question to ask about any lead is fit — does it look like your existing customers? If the prospect is not a fit for your product, it doesn’t matter how engaged they are; they’re not likely to buy.

    To learn more on how a fit-first approach increases the quality of your pipeline, click here.


Infer tells you: Which accounts are ready to buy. Who your reps should call. What they should sell them.