Infer Joins New Salesforce Analytics Cloud Ecosystem to Advance Predictive-First Sales and Marketing Intelligence

Press Release: Infer’s predictive intelligence platform harnesses the power of Salesforce Analytics Cloud to give business users accurate, forward-looking sales and marketing insight on any device

Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced it has joined the Salesforce Analytics Cloud ecosystem. Infer helps businesses predict and prioritize the highest potential sales and marketing prospects by using advanced data science and external signals from the web. Many fast-growing companies – including AdRoll, Box, New Relic, Optimizely and Xactly – already use Infer Scores inside of their Salesforce Dashboards to unlock revenue. Salesforce Analytics Cloud now empowers Infer’s customers with a whole new level of insight across the sales and marketing funnel.

Salesforce Analytics Cloud cropped

How LinkedIn Could Take On Salesforce

Originally Posted on TechCrunchlinkedin-salesforce-collide

Today’s B2B sales and marketing folks struggle with the overwhelming number of channels for finding and reaching new leads. The customer “funnel” continues to expand as buyers do more of their own research before raising their hand to connect with a sales rep. But imagine if you could make the funnel wider by identifying leads when they’re just browsing your site and haven’t yet filled out your “contact me” form, or leads who haven’t yet visited but are likely to be a good fit for your product?

That’s hard to do with the primitive tools that are available for sales and marketers today, unless you bring together some very rare assets — which just so happen to all exist at LinkedIn.

LinkedIn is the only company with… Continue Reading on TechCrunch

The Impact of the Mobile Boom on Data-Driven Marketing

Originally posted on Destination CRM by Jamie Grenney

Interent Trend 2Internet forecaster Mary Meeker has produced a report on Internet trends for almost 20 years, and it never fails to uncover valuable insights on the current state of technology. Her latest report includes many observations about the worlds of mobile, data, advertising, and more.

The biggest trend in the just-released report is the massive increase in mobile and sensor-based devices, and in the data produced by them. Meeker found that shipments of sensors for wearables, phones, tablets, etc., have grown by 32 percent year-over-year, up to 8 billion in 2013. And mobile data traffic is increasing at an annual rate of 81 percent, although smartphones still only represent 30 percent of the 5.2 billion mobile phones in use.

Top 20 Sales and Marketing Thought Leaders Who Are Influencing Predictive Scoring

img_top20-color

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.

Announcing Infer Smart Signals™

Infer-Smart-Signals

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.

Infer’s Salesforce AppExchange App

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.

Infer's AppExchange Listing

Does Predictive Scoring Work if I’ve Got Bad Data?

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.

What will CRM look like in 2015?

GigaOmWhen 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.

Continue Reading on GigaOm