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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When AI and Analytics Drive Business Disruption vs. Hype

This article was originally published on MarTech Today by Sean Zinsmeister, Senior Director of Product Marketing at Infer.

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The sales and marketing industry has been abuzz with talk of predictive analytics, machine learning and artificial intelligence (AI) this fall, especially on the heels of a flurry of AI updates from Microsoft and Oracle, Salesforce’s recent Einstein announcement at Dreamforce, and Google’s unveiling of its efforts in machine learning and AI yesterday.

In all of this hype, I’ve encountered several conflicting definitions and explanations of what AI really means.

Those of us close to the space know that AI, at its core, is actually foundational technology that’s been around in the consumer world for over a decade.

Think of the amazing intelligence behind Google Photos, which uses facial recognition technology to organize your images for you, as well as the highly accurate music recommendations that you get from Pandora based on your likes and dislikes. We see similar examples in major league baseball (remember Moneyball?) and, of course, the fast-evolving world of Uber, Waze and self-driving cars.

As AI enters the enterprise realm — in what Constellation Research predicts will be a $100 billion market by 2025 — it’s important to shift our focus away from science fiction perceptions, and instead look toward the specific business outcomes that AI can produce.

To help cut through the noise, I’ve outlined below four key roles that analytics plays in the sales and marketing landscape. Keep in mind that each of these approaches delivers insights based on sophisticated data processing, modeling and other scientific techniques — all of which are important aspects of AI.

Improving the Customer Journey through Lead Routing [Podcast]

In this episode of Stack & Flow, we’re talking all about how to keep your sales and marketing stack agile. Evan Liang, CEO of LeanData, discusses the benefits of lead management in this endeavor and the impact it has on the customer experience. Evan also shares how he prioritizes agility within LeanData’s expansive martech stack, which includes technologies like Builtwith, Datanize, Yesware, Outreach, SalesLoft, Persist IQ, Trello, SFDC, GoToMeeting, WebEx, Zoom, Capterra, UberFlip, DocuSign and Marketo!

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Making the Case for Predictive Marketing & Sales

Moderated by Kerry Cunningham of SiriusDecisions, Infer and Lattice Engines joined forces last month to discuss the key strategies and use cases to get your business started with predictive marketing and sales. We had a great time discussing best practices for how to deploy a predictive marketing solution, and why real customers are achieving success by infusing predictive analytics into their go-to-market machines.

Lattice Engines webinar for blog

 

In this webinar replay, you will learn:

  • Several different approaches to launching a predictive solution.
  • The top use cases for getting started with predictive analytics.
  • How to measure success.

We hope you enjoy the webinar, which you can watch here.

For more details on how predictive is helping businesses create more effective sales and marketing organizations, request a free demo or start a free 14-day trial of Profile Management now.

How Host Analytics Operationalizes Intelligent Workflows With Predictive Analytics

Host Analytics Blog

Over the years we’ve had the tremendous opportunity to work with some of the best companies in the world that are helping to shape the future of predictive for sales and marketing. One such business is veteran customer Host Analytics, who has achieved amazing business results over the years by leveraging predictive intelligence in their sales and marketing stack.

With the entire company focused on MQLs as a leading indicator of whether it will hit its revenue targets, the Host Analytics marketing team needed a better way to evaluate and prioritize good leads. This included reducing spend on marketing channels that deliver bad leads and gaining real-time insight into how marketing programs are performing. On the sales side, the team couldn’t risk spreading itself too thin by calling every lead that exhibited any type of interest.