Infer Extends Profile Management to the Oracle Marketing Cloud

Customers can now use engagement data from Eloqua to build lead, contact and account-based profiles in Infer Profile Management

We’re excited to announce that Infer Profile Management now supports Eloqua engagement data, allowing customers to take their segmentation and profiling one step further and ensure that they’re sending the right message to the right person at the right time. While customers like Tableau and Avalara have been using Infer Predictive Scoring with Eloqua for a while, we’re happy to now extend that seamless connection to users of the Infer Profile Management platform as well.

For those who aren’t yet familiar with Infer Profile Management, it’s a self-service solution that gives marketers and sales reps unprecedented control in targeting their ideal customer profiles for more personalized outreach. The platform joins your company’s internal records with signals from Infer’s data cloud, which contains hundreds of individual attributes and useful data points for use in segmenting your database. With this full spectrum of information, Infer Profile Management lets you easily build profiles over lead, contact, account and opportunity data directly from your CRM system. To bring this to life, here’s a real-world use case of Infer Profile Management from our customer Looker:

In addition to engagement data from sources like Google Analytics and Marketo, Eloqua data can now be pulled directly into the Profile Management interface so you can build dynamic segments at the lead, contact and account levels. Once you decide to publish these profiles, Infer will index your entire CRM system to identify any leads, contact and/or accounts that meet your specific definitions of engagement (such as “Infer A-Accounts, that attended a webinar in the last month and use Amazon Web Services”), and then tag those records across your systems for follow up.

Infer Profile Management’s addition of Eloqua engagement data allows you to:

  • Enhance your account-based sales and marketing tactics by immediately tagging engaged accounts in your CRM for more aggressive follow up at the right times
  • Gain visibility into your most highly-engaged accounts and contacts
  • Easily hyper-target your database in order to deliver personalized follow up based on specific behaviors and engagement
  • Bridge the sales and marketing divide by making Eloqua’s marketing engagement data more useful and accessible for sales

Contact us today for a demo of how Profile Management can help you connect, define and engage your prospect database.

 

The Front Lines of Predictive Intelligence

This article was originally published on the Hubspot Blog by Infer customer, Nicholas Heim, Director of Inbound Marketing at Hotjar.

HotJar HubSpot

Hypergrowth SaaS businesses like my company, Hotjar, are often faced with the happy problem of too many free trial leads flooding into HubSpot. Thanks to lots of word of mouth buzz around our mission to democratize user analytics, and some clever advertising, we took off fast a couple years ago.

I wasn’t around for the early “fresh-out-of-beta days,” but as a newer team member, it’s quite nice to stand on the shoulders of an amazing product and founders who are true visionaries. When I joined around nine months ago, it had become challenging for our team to vet which leads (out of around 600+ new users each day) to target for premium business and agency plans.

While we get tons of value from using HubSpot for both our CRM and marketing automation needs, we couldn’t properly segment and personalize messages for our highest potential users out of the gate.

That is, until we added Infer Predictive Scoring to the mix. Now, we have a custom predictive model that works with HubSpot and our Intercom customer messaging platform to provide accurate data-based predictions of how well each lead matches Hotjar’s ideal customer.

Here’s what we’ve learned by using predictive intelligence to inform more advanced sales and marketing tactics.

Carolyn Wellsfry Cheng of Shoretel Discusses Integration, Adoption, Closed Loop Reporting, and Combining Cloud and Location Based Solutions [Podcast]

We’re back with another episode of Stack & Flow! This week we’re joined by Top Predictive Innovator Carolyn Wellsfry Cheng from Shoretel to discuss the differences between account-based marketing and selling, which strategy she predicts is here to stay, and why buying flashy tools isn’t always the best choice.

Justin Norris of Perkuto on the State of B2B Advertising, How ABM is Making Outbound Cool Again, and Extending Marketo [Podcast]

This week, we’re joined by Justin Norris, Solutions Architect at Perkuto to talk about how his experience with hundreds of Marketo-based sales and marketing stacks has given him a unique perspective on sales automation, lead routing, and architecting solutions that string together many technologies and systems to do awesome things. Justin also chats with the hosts about his thoughts on B2B advertising and why ABM is making outbound cool again.

DNN Boosts Marketing ROI and Conversions with Predictive

It’s always a pleasure to uncover a new predictive innovator in our customer community, especially when they tell us that they were able to make an impact within just one week of adopting Infer. For example, content management software company DNN saw a 25% jump in its lead-to-opportunity conversions with Infer, along with a 75% jump in conversations to MQLs for its top group of leads. This success was the result of using Infer’s predictive models to find DNN’s highest revenue potential prospects, and gaining clear visibility into which sources and marketing channels generate the very best leads.

We recently had the pleasure of sitting down with Franck Ardourel, DNN’s director of marketing, who elaborated on the impact Infer’s predictive sales and marketing platform has had on his organization:

 

Additionally, you can download the full snapshot to learn more about how DNN is using Infer Predictive Scoring to:

  • Identify the leads most likely to convert to customers.
  • Improve sales prioritization, and increase new business opportunity conversion rates.
  • Optimize lead gen acquisition programs in order to consistently produce higher quality leads and increase ROI.
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Adrian Chang, Director of Customer Programs at Oracle Marketing Cloud on Trends to Watch for 2017 [Podcast]

We are so excited to bring you a new episode of Stack & Flow with our latest guest, Adrian Chang. He is the Director of Customer Programs at Oracle Eloqua, where he has worked for nearly ten years, and is a marketing automation pro. Obviously no stranger to the ever-evolving world of martech, Adrian helps the hosts break down this year’s Gartner Hype Cycle for Digital Marketing and Advertising, including why companies are investing more in technologies that will help marketers deliver the best of the brand with customer data. He also shares how to get started with machine learning, and what trends will be big in 2017.

The State of B2B Software Reviews, Martech Growth and the G2 Stack [Podcast]

G2Crowd is disrupting the traditional analyst quadrants. The online B2B software review company has built an impressive community made up of over 100,000 crowdsourced reviews from real-life users, then turns those thousands of data points into trend reports, a la Gartner and Forrester. In this episode of Stack & Flow, G2’s Chief Marketing Officer, Adrienne Weissman, shares her thoughts on how consumer review sites have helped to shape the B2B software buyer’s expectations, what the relatively young company is doing to drum up demand generation, and why good project management helps align their sales and marketing team for better ideation and execution.