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).

Infer and InsightSquared Announce Strategic Partnership to Bring Beautiful Reporting to Predictive Marketing and Sales


Press Release: New Predictive Analytics Visualizations Deliver Actionable Insight into a Company’s Lead Generation Programs, Marketing Campaigns, and Sales Pipeline

Infer Inc., a leading provider of predictive technologies that help companies win more customers, and InsightSquared, the top-rated sales performance analytics company, today announced a strategic partnership. Together the companies will deliver new dashboards that visualize key predictive insights to help business-to-business marketers make the leap from being simply data-driven to being fully predictive-driven.

Many companies have only murky visibility into their sales pipeline, and can’t measure marketing campaign performance until it’s too late to make adjustments. With Infer’s statistically accurate customer conversion predictions visualized in several of InsightSquared’s most popular reports, businesses can better monitor the health of their sales and marketing operations. Marketers can use these reports to determine how well their demand generation programs are fueling growth, while sales teams can use them to better align effort to impact through continuous lead management.

Using Predictive to Improve B2B Free Trial Conversion

For many companies, offering a free trial is a critical part of their demand gen strategy. Prospects who sign-up and want to experience the product are inherently more likely to convert than those who downloaded content. The key to maximizing this channel is being able to instantly identify high-value trial users so that you can ensure they get the proper attention from day one.

Over the years we’ve had the opportunity to work with amazing companies like AdRoll, Cloudera and Segment that are part of the movement shaping the future of predictive for sales and marketing. This playbook highlights the best practices Segment is using to optimize support for its free trial users.

Using Predictive Marketing to Improve B2B Free Trial Conversion

Bridging The Sales and Marketing Divide

Many organizations tend to find themselves in cyclical debates around what makes a good lead, but these conflicts can be diffused with a common definition that both sales and marketing trust. Predictive scoring provides an objective, data-driven method for determining if a prospect is a good fit to buy a product and whether they are likely to convert soon, building confidence in the scores – eliminating the finger-pointing that’s so common.

Over the years we’ve had the opportunity to work with amazing companies like Host Analytics, New Relic and Zendesk that are part of the movement shaping the future of predictive for sales and marketing. This playbook highlights best practices that veteran customer Host Analytics has used to bridge the sales and marketing divide through executive dashboards, MQL-based compensation plans, marketing mix optimization, and more.

How to Use Predictive Analytics to Improve Sales & Marketing Alignment

Predictive Meets Inbound Marketing

This week, we’re celebrating all things inbound at the annual HubSpot Inbound conference in Boston, and it’s been great to see the enthusiasm around this exploding breed of marketing.

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What’s even more exciting are the many discussions around the rise of predictive. HubSpot is the latest software player to join the AI Spring, announcing today that it is adding basic predictive features to its product. This is a great way to get started with predictive if you want to minimize your marketing automation configuration burden, but don’t yet have a significant customer base or aren’t ready to jump fully into advanced predictive lead scoring.