As we’ve been building Infer’s predictive lead scoring engine over the past three years, we’ve also been following many brilliant thought leaders who are contributing to a range of discussions near and dear to our hearts. So in the spirit of Valentine’s Day, we thought it’d be fun to survey our team on their favorite influencers in the space, and send some love their way. We’ve compiled part of that list below — spanning experts in the realms of CRM, marketing technology and general marketing and sales best practices. Our list of top data science and predictive analytics experts is published here.
Since we launched Infer, we’ve often been asked whether we’d reveal the awesome signals that go into our predictive lead scoring engine. Over these last three years, we’ve honed our core models and been relentless about finding new sources of data – striking partnerships, crawling the web, and amassing a library with thousands of unique signals. We’ve done all of this primarily to further improve the accuracy of our scoring. However, we recognize that these signals can be applied to lots of other sales and marketing use cases, so today we’re happy to announce the availability of our Infer Smart Signals™ service.
Infer Smart Signals give you a richer, fuller view of your prospects with details from our huge library of signals. You can add more insight into your leads, contacts, or accounts by pulling information that we’ve discovered to be highly predictive – like company size, technology vendors, web traffic, business model, industry, spam detection, etc. – right into your CRM or marketing automation systems.
We’re excited to share our AppExchange App just in time for Dreamforce! It includes custom fields, pre-built dashboards, and a configuration tab to define your lead buckets. You are welcome to install the package and check it out, but we’ll need to build you a model to light up the scores. The process is fully automated so it requires no work on your part. We have pre-built connectors for Salesforce, Eloqua, and Marketo. If you’re interested in learning more, contact us and we’ll get you started.
People often ask us: “If I don’t have confidence in my data quality, how could predictive scoring possibly work?” Many businesses delay lead scoring initiatives while they wade through cumbersome data clean-up projects – leaving major revenue-driving opportunities on the table in the meantime.
But at Infer, our platform was designed to handle bad data, so we could ensure quick implementations and provide immediate value.
When I joined Salesforce.com in 2002, the question was, why isn’t enterprise software as easy to use as Amazon.com? That simple idea transformed an industry and gave rise to a $24 billion dollar business. With enterprise cloud computing, the technical barriers to CRM adoption were overcome, providing a clear path to CRM success.
A little more than ten years later, I believe we are on the precipice of another disruptive shift. The question we are asking today is, why aren’t companies able to operate with the same data-driven intelligence as an Amazon? As I see it, there are at least two major obstacles holding us back.