Predictive lead scoring is the breakthrough you have been missing.

Optimize campaigns, accelerate your pipeline, and improve close rates with AI-powered predictive marketing.

Ditch Traditional Lead Scoring

Imagine what you could do if your lead scoring actually worked

Traditional lead scoring strings together a series of best guesses about who your buyer is and how to know when they’re in-market. Infer uses machine learning to answer those questions with uncanny accuracy.

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

Get your sales reps focused on the deals they can close

See immediate improvements in MQL-to-SQL efficiency by automatically prioritizing the best leads for your sales team and filtering out the dead weight.

Throw your investments behind campaigns generating great leads

Stop waiting for long sales cycles to play out. Predictive lead scoring gives you instant feedback on which campaigns and programs are producing high-quality prospects so you can double down on what’s working.

Uncover in-market buyers trapped in nurture campaigns

You know there are prospects in your database who are just about ready to buy but haven’t raised their hand. We can tell you exactly who they are.

Get a clear view of your true target buyer profile

Automatically generate buyer profiles based on data science.

Grow your pipeline with lead scoring that
actually works

  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.

HOW IT WORKS

Plug in your databases

Connect Infer to your CRM and marketing automation platform.

Append thousands of data points to each record

Automatically enrich your database with thousands of demographic, firmographic and technographic data points.

Use machine learning to model your customer

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

Automatically score each new record

Infer automatically scores each new record in your database and feeds it back to your CRM and marketing automation platform.

Why not get a demo?

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

WHAT DOES PREDICTIVE MODELING LOOK LIKE?

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

REAL RESULTS

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.

Manual lead scoring doesn’t work. Predictive lead scoring based on machine learning is the breakthrough you have been missing.

Optimize campaigns, accelerate your pipeline, and improve close rates with AI-powered predictive marketing.