Infer Scores Now Available in Marketo Sales Insights

We’re excited to share that Infer Scores are now integrated with Marketo Sales Insights to give more reps visibility into their best-fit prospects so they can close deals faster. This Marketo view can be fully integrated within Salesforce records, where it displays Infer Scores as easy-to-understand stars and flames to help sales reps to more quickly identify and prioritize the leads that are most likely to convert.

Once Infer is configured with your Marketo instance, any administrator can edit the standard setup for Sales Insights. Infer’s scoring options appear in the drop-down menu of possible scoring fields for configuring this view into Marketo. Customers like Druva are already using the integration to help them predict their highest potential prospects

Melissa Davies for Infer

Druva Chooses Infer to Predict Highest Potential Prospects

We’re always happy to welcome another customer to the Infer family. Like many of our customers, Druva has grown rapidly in recent years and needed a better way to evaluate and prioritize good prospects for personalized follow up. The company chose Infer Predictive Scoring to take the guesswork out of the equation and better predict its highest converting leads.

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In a recent conversation Melissa Davies — who is in the process of implementing Infer Predictive Scoring at Druva — shared her adoption tips learned from building successful predictive programs over the years, why she chose Infer, and her goals for predictive at Druva.

Melissa, you’re no stranger to predictive. What are your best practices for driving adoption?

Before rolling out a predictive initiative across the entire organization, I recommend first running a controlled pilot program with a few sales reps. By piloting predictive scoring with a small group, you can build trust, create internal champions, test your use cases and strategy, and then optimize as needed. Once the approach has been perfected and you’ve shown its potential impact, it becomes easy to scale predictive across across sales and marketing, quickly gain alignment and buy-in, and ensure consistent adoption.

You’ve worked with several predictive vendors over the years. What made you choose Infer when you joined Druva?

I chose Infer over other predictive vendors because of its high quality data and open platform, which ensures I’m able to leverage all of my prospect data to recognize the full potential of our top prospects. Infer is now an integral part of our sales and marketing stack, and will help Druva become a fully data-driven organization powered by predictive insights.  

What immediate benefits do you expect to see once Predictive Scoring is in place?

Within the first month of implementation, I expect a ten percent increase in meetings booked with more qualified prospects, and with less time and energy spent getting there. Infer will also help us programmatically evaluate the quality of purchased leads upfront so the team can focus time, energy and marketing spend towards the list vendors and prospects that will make the biggest impact on revenue.

Download the full snapshot to learn more about how Druva plans to utilize Infer Predictive Scoring to drive revenue and build sales and marketing alignment.

 

 

Predictive Analytics for B2B Sales and Marketing has Certainly “Crossed the Chasm”

This Q&A with Infer’s Sean Zinsmeister was originally published on MarTech Advisor.i1916_575e6510c2543

Predictive analytics for B2B sales and marketing has certainly “crossed the chasm”, but it’s still in the early adopters phase of the product development lifecycle, and will continue to mature. MarTech Advisor spoke to Infer’s Sean Zinsmeister about the predictive space and Infer’s product strategy.

Consolidation Versus Integration of Predictive Intelligence Platforms

I expect that we’ll see some consolidation, but even more integration as the industry evolves. The reality is that today’s marketing clouds are still fairly immature and cobbled together vs. providing one cohesive cloud. When you look at the predictive movement, there has been a lot of hype and a lot of vendors chasing shiny objects. Our strategy is not to build an all-in-one solution or a walled garden, but rather to deliver an open architecture that can share data, predictions, recommendations and action triggers across any marketing cloud, system of record or other specialized tool (i.e. AdRoll, Outreach, Pardot, Act-On, etc.).

Open architecture is especially important because martech is getting increasingly balkanized by salestech, and the go-to-market stack is expanding. Our approach is to build deeper hooks into engagement systems. This will in turn increase the predictive power of our models and allow us to drive more targeted segmentation, recommend appropriate next-best actions, and ultimately make all of a company’s systems run more efficiently.

New Relic Wins 2016 Demand Program of the Year

It’s always exciting when one of the outstanding predictive innovators in the Infer customer community is recognized for their forward-looking approach. We are thrilled to congratulate Baxter Denny, Isaac Wyatt and the New Relic team on winning a SiriusDecisions 2016 Demand Program of the Year Award. This impressive achievement celebrates their success using predictive analytics over the past four years to create demand for New Relic’s software analytics products.

New Relic Predictive Marketing Success

The Risks of Blending Customer Signals from Disparate Sources

Originally Posted on Data Informed

fit vs behavior

One of the more perilous steps in building a data model is determining the right signals to include. When it comes to business-to-business customer analytics, there’s a wide range of signals to choose from – a company’s business model, technology vendors, relevant job postings, public filings, social presence, website activities, marketing engagement, third-party intent data, and other attributes.

But some data scientists forget that all of these signals aren’t created equal, and they shouldn’t be treated the same.

How Social Tables Captures New Revenue Opportunities with Infer

Social Tables is a cloud-based event management software that helps venues and event planners work more collaboratively together. When the company looked to expand its business last year, the marketing team added more passive channels to drive new inquiries at the top of the funnel. They hit gold with content marketing and were soon inundated with 6,000 new leads per month, creating an enviable “champagne problem” — how to manage this high lead volume.

This company adopted Infer’s Profile Management platform and Predictive Scoring, and uncovered new revenue and expansion opportunities that increased its monthly opportunity pipeline by$500K and overall revenue by 7%.

Social Tables - Case Study Preview for Blog

Inside you’ll learn how Social Tables leveraged predictive to:

  • Identify new revenue channels and expansion opportunities by increasing effort with key groups of best-fit, high-value customer profiles.
  • Better qualify prospects through targeted outreach, resulting in deeper cross-functional alignment and a boost in sales efficiencies.
  • Gain a more comprehensive, at-a-glance view of both inbound and outbound prospects, allowing marketing and sales to fine-tune their conversation points and marketing strategies with personalization at scale.
  • Better profile inbound lead flows and understand shifts in ideal customer segments, enabling marketing to adjust campaigns in real-time and amplify their effectiveness.

Download the case study here >

Trevor Lynn, Social Tables for Infer

Read more about how other companies like Box, Zendesk, and New Relic use Infer to add value across their organizations, request a demo today, or sign up for a 14-day free trial.

Improving Sales Efficiency Through Predictive-Driven Lead Routing

Companies today employ all kinds of techniques to drive growth and increase sales efficiencies. To meet these goals, many are innovating both their inbound and outbound marketing techniques — both by generating quality inbound leads and targeting new outbound accounts that are highly likely to convert. But without a way to filter out the noise, these strategies can be hampered by misdirected time and effort on leads that aren’t a good fit for the product or service a company is selling.

Over the years we’ve had the opportunity to work with amazing companies like Booker, New Relic and ZenDesk that are part of the movement shaping the future of predictive for sales and marketing. This playbook highlights how Booker, a service commerce platform for small local businesses, integrated predictive scoring into its sales and marketing workflows to boost sales efficiencies and internal alignment. As a result, the company saw a 60% increase in the number of contracts closed in under a month.

Predictive Sales and Marketing lead routing

Inside you’ll learn how to:

  • Prioritize your best leads and align effort to the highest revenue opportunity
  • Lift lead conversion rates and optimize performance by routing prospects to the right nurture tracks and sales reps
  • Employ a “test-and-invest” strategy to identify marketing campaigns and channels that generate the highest quality leads

Download your copy here >

Predictive Sales and Marketing - Booker

This is a playbook we often recommend to companies are ready to kickstart their predictive journey by embedding predictive into sales and marketing workflows. We also have other playbooks for analyzing a model’s performance, accelerating expansion, sales prioritization, sales and marketing alignment, nurture, customer support, and test and invest.

If you’d like to see how predictive sales & marketing can add value across your organization, request a demo today.

Does Profile Management Require Predictive Scoring?

Convert data into actionable intelligence with predictive

 

This is the second post in our profile management blog series. Last month we talked about where the Infer Profile Management platform (PMP) fits into your sales and marketing stack. In this post, we’ll discuss whether or not you need to layer in predictive scoring to reap the full benefits of PMP, and identify where Infer’s platform can fit into your predictive journey.

A question we hear quite often is whether or not a predictive model is required in order to leverage the full capabilities of Profile Management. While predictive scoring models enhance PMP, you can still identify your ideal customer profile and get significant value from the platform without any type of scoring model:

  • PMP allows companies to combine all of of their prospects’ buying signals (i.e. firmographics, geography, personas, engagement, free trial usage, etc.) into data-rich, descriptive and actionable profiles, which can be sliced and diced in countless ways to get more granular. We call this hyper-segmentation.
  • These profiles can be shared across your CRM and other sales or marketing tools (like Marketo or Eloqua), instantly enabling better targeting, at-a-glance personalization for reps, and a clear understanding of the pipeline metrics surrounding each segment.
  • Access thousands of predictive signals to build profiles to help you expand into areas you might not currently have data sets for – new products, geographies, or going upmarket (ABM).