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.
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.
This week, we’re joined by Jeff Canada, Global Marketing Operations Manager at Quantcast to talk about the greatest challenges to the modern marketer: personalization, localization, the death of the newsletter and more!
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.
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.
Every Infer customer we talk with seems to share a new best practice that can benefit the entire sales and marketing community. Most recently, we explored how 20-year-old ShoreTel is infusing predictive insights into its mature demand generation workflows to drive dramatic efficiency improvements. This large telephony and unified communications provider has no shortage of leads, and recognizes that having more people to call isn’t necessarily better. Instead, their demand gen team focuses on working smarter by tightly aligning effort around those activities that deliver the greatest impact for the business.
In a recent conversation with ShoreTel’s head of demand gen (and one of Infer’s Top 25 Predictive Sales and Marketing Innovators), Carolyn Wellsfry Cheng described her company’s demand generation programs, predictive use cases, marketing challenges and cost-per-MQL measurement approach.
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.
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.
With more and more world-class marketers joining the predictive revolution, we at Infer want to amplify their knowledge by sharing best practices throughout the community. A prime case in point is the game-changing online user engagement company WalkMe, which hails from San Francisco, New York City, Tel-Aviv, Raleigh and Sydney. Last year, the company’s marketing team adopted Infer Predictive Scoring to help measure campaign performance in real-time and improve sales and marketing alignment around the definition of a good lead.
In our conversation with Omri Erel, WalkMe’s head of advertising and performance marketing, he discusses why his company needed predictive intelligence, how the team rolled out Infer, and the benefits the organization is seeing across sales and marketing.
This byline by Infer’s Sean Zinsmeister was originally published on the Salesforce blog.
Every sales leader, in every company, is searching for a killer growth angle. We all want to know how to squeeze more out of our pipeline. The best go-to-market managers differentiate themselves by pinpointing key segments where they can close deals quickly. However, this isn’t a code many people can easily crack. Whether you know it or not, your company is sitting on at least some “white space” of untapped opportunities that are already in your funnel. Few businesses realize how much potential revenue they’re actually leaving on the table, but we’re seeing more and more elite sales and marketing shops figure out how to turn pipeline gaps into revenue growth upwards of 10% – and I’ve had the privilege of learning from several of them.
One thing I’ve noticed in top-notch Sales VPs is that it all starts with how good they are at forecasting pipeline. But even when management is great at predicting how much revenue each rep and each channel will bring in, high-growth companies are never quite on target. That’s why identifying gaps is crucial to meeting sales goals. Once you determine where your team is missing the mark, you need to make adjustments quickly to address those gaps. This could mean reassigning territories, changing the makeup of the team, mandating training programs, etc. Good managers go through this cycle again and again to optimize and perfect sales motions until they hit or exceed their number.
The second stage in that sales management cycle – identifying gaps – is the toughest to nail, especially as a company evolves. But I’ve found that the gray area of discovering hidden gems already sitting in a CRM or Marketing Automation system is actually one of those variables that can have a large impact on the topline.
This article was originally published on MarTech Review by Infer customer Ray Miller, Senior Marketing Operations Manager at Social Tables.
Social Tables is a high-growth company based in Washington, DC. It was founded in 2011 as a cloud-based event management software platform. Social Tables has helped venues and event planners work more collaboratively and efficiently together to plan over 1,000,000 events to date.
With our free mobile applications and 14-day free trial on our Website, we had figured out a way to consistently generate about 1400 leads per month. The Business Development team would pursue most of these leads, but they were often not great. They could be international leads (in markets we do not support), or leads from smaller event planners or venues where the transaction would be too small to justify an extensive sales effort.
In this blog, we will be sharing details about how we increased leads from 1400 to over 6000 per month, and then how we started managing those leads for maximum efficiency and impact. We used a number of techniques and technologies to achieve this, including:
- Whitepapers and new mobile applications on the content side;
- Facebook and Twitter advertising;
- Deep analyses with Excel’s Stat Pack to assess the value of different types of leads;
- Lead scoring and management with Infer (predictive analytics), Velocify (lead operations), Pardot, and Salesforce;
- A full Marketing Technology stack for improved operations, including C3 Metrics; and
- An online (aka, “low-touch”) sales model for smaller leads.
This blog is most relevant to B-to-B marketers, especially within high-growth companies.