Gartner Forecasts Robust Growth in Global Public Cloud Services

Gartner forecasted continued growth of global public cloud services.  The analyst firm projected 17.5% growth in 2019 to $214.3 billion.  The fastest growth rate will be in Infrastructure as a Service which will jump 27.5% to $38.9 billion.  Platform as a Service is expected to rise by 21.8% this year.

“Cloud services are definitely shaking up the industry,” said Gartner Research VP Sid Nag.  “At Gartner, we know of no vendor or service provider today whose business model offerings and revenue growth are not influenced by the increasing adoption of cloud-first strategies in organizations.  What we see now is only the beginning, though.  Through 2022, Gartner projects the market size and growth of the cloud services industry at nearly three time the growth of overall IT services.”

Gartner research found that a third of organizations listed cloud investments as a top three investment priority.  Thirty percent of technology providers new software investments are shifting from cloud-first to cloud only.  Thus, SaaS and subscription cloud models will continue to replace license-based software sales.

Gartner Predicts Increasing Sales & Marketing Tension Due to ABM

Todd Berkowitz, Research Vice President at Gartner, sees Account Based Marketing (ABM) as increasing tensions between sales and marketing in the short-term.  While ABM has long been advocated as a facilitator of departmental alignment, he sees ABM as disrupting sales processes and generating friction:

“Between ABM and adoption of various new technologies and data types, there is a lot of disruption that is happening with regards to sales teams. Even if these changes are going to be beneficial to tech companies in the medium-term, and some of the “A sellers” get on board quickly with the changes, there are many sales reps that will have to be dragged kicking and screaming into the new world. (This is why I always advise trying an ABM pilot with a select set of reps). So even if there is pretty good alignment and agreement between CMOs and sales leaders, don’t expect all reps to magically do what they are being asked to do. There needs to be an adjustment period, along with good sales enablement, before everyone plays nicely.”

So, while ABM will facilitate agreements in process, messaging, and metrics in the medium-term, it will generate resistance amongst sales reps unwilling to adopt new processes and tools or unconvinced of its value.  This friction is probably exacerbated by predictions of sales force reductions due to the implementation of AI and other information and workflow technologies.

WWII Era Poster (U.S. National Archives and Records Administration)
WWII Era Poster (U.S. National Archives and Records Administration)

Resistance to technological change has long been an issue.  Early in the Industrial Revolution, The Luddites sabotaged British plants, particularly cotton and wool mills.  While sales reps are unlikely to sabotage initiatives (or their careers), they may hesitate to learn new platforms or adopt new processes.  As such, the problem may be more akin to soldiering, the assembly line equivalent of reducing individual productivity to the level of the laggards on the line.  Frederick Taylor, the father of time and motion studies, was very concerned about soldiering and recommended piece work rates to create productivity incentives.  But sales reps are very attuned to incentives.  While they may be hesitant to adopt new technologies, they will do so if they help make them more efficient and effective at selling.  So long as sales reps are paid on a commission basis and long-term employment is tied to making quota, the level of soldiering should be minimal.

This isn’t to say that sales reps won’t resist learning new tools.  If they believe the time invested in such training is less than the incremental revenue for the lost selling time spent in training, then they will avoid training and learning new tools.  However, if they see others on their team benefiting from the new tools, they will not hold out long term.  Thus, tool training needs to be visibly supported by management with an emphasis upon the benefits to sales reps (e.g. less time spent on non-sales tasks and more time interacting with customers and prospects, improved account intelligence, improved account targeting and message timing).  With the proper incentives and information, resistance should be minimal.

To help ensure adoption, vendors should be looking to integrate solutions into CRMs, email, and mobile devices so that new tools are integrated into current workflows.  They should also be providing inline tool tips, initial training focused on their capabilities which provide high levels of efficiency and efficacy improvements, tool-based win stories, and usage tools for tracking training, usage, and ROI.  A few gamification elements may also be in order, but they should be organic to the product and not hokey.

Ignite Technologies acquires Infer

Infer Account Based Behavior Score
Infer Account Based Behavior Score

ESW Capital completed the acquisition of predictive analytics vendor Infer and will be rolling it into Ignite Technologies. Infer offers predictive lead and account scoring. Use cases include TAM identification, segmentation, account selection, demand generation, lead scoring, opportunity scoring, and upsell/cross-sell. In a September 2016 report, Gartner said that Infer pricing starts at $30,000 and increases based on the number of models. There are also charges for net-new contacts.

This summer, ESW also acquired company intelligence vendor FirstRain and rolled it into Ignite as well.

The Ignite Prime program offers clients access to additional enterprise technology once they have signed a contract for one of the Ignite Technology solutions. For example, Infer customers would have access to additional enterprise software solutions such as First Rain, ThinkVine, and Placeable equal to the value of their Infer contracts.

“We’ve been continually impressed by Ignite throughout this acquisition process. They have a strong leadership team and the right strategy that’s in line with where the future of sales and marketing solutions are going, where there’s a need to converge multiple products into a cohesive platform to drive true, full-circle customer intelligence. We’re confident this is the platform that our amazing customers will want to build on and grow, and are excited for the Infer solutions to be a part of Ignite’s Prime Program which will help customers drive 2x ROI.”

  • Vik Singh, Infer’s CEO

Infer was founded in 2010 and is headquartered in Mountain View, California. Infer focuses on predictive solutions for the technology sector and lists AdRoll, Cloudera, New Relic, Tableau, Xactly and Zendesk as clients. As of Q3 last year, Infer reported over 140 customers. Deal size was not disclosed.

Lattice Engines: Leader in B2B Predictive Analytics

Lattice Scores and Enriched Data are available within the Eloqua Canvas campaign builder.
Lattice Scores and Enriched Data are available within the Eloqua Canvas campaign builder.

In a 2016 survey of predictive analytics companies, Gartner sized the global market at between $100 and $150 million. Although Gartner remains bullish on the sector, the size must be disappointing to both the firms in the space and their investors. One of the early companies in the space, Lattice Engines, continues as a market leader with over 200 global deployments.

Lattice Engines supports both enterprise clients and high-growth companies with deployments beginning around $75,000. Pricing is based upon the number of managed leads or contacts in the instance along with the number of users. With revenue between $25 and $50 million (GZ Consulting estimate), the firm has a strong position in the nascent market.

Lattice Engines combines first and third-party data to build predictive models. External content includes firmographics, intent data, technographics, social data, and web crawled business signals. Content is licensed from leading vendors such as Dun & Bradstreet (WorldBase global company file), Bombora (intent captured from over 3,000 B2B media sites), and HG Data (technographics). The Lattice Data Cloud covers over 200 million global companies, 21,000 buying signals, 100 million tracked domains, and over one billion daily interactions. Internal content spans transactions, CRM, marketing behavioral data, usage data, and support services.

“Predictive analytics is one of the few types of marketing technology that has the ability to solve issues at every step of the funnel, because it aligns sales and marketing against the right targets, and provides them with the right data to create targeted campaigns.  By infusing fit and intent data into our models we enable teams to have a complete understanding of their ideal customer profile, which enhances the programs teams orchestrate against their targets.”

  • Director of Corporate Marketing Caitlin Ridge.

Firms can build multiple models to support various geographies, product lines, and scenarios (e.g. win/loss, upsell/cross-sell, renew/churn). Lattice scores and modeled data are integrated with many of the key SalesTech and MarTech platforms:

  • Ads/Web: DemandBase, Oracle Data Cloud, doubleclick (Google), AdRoll, Facebook
  • MAP: Marketo, Oracle Marketing Cloud (Eloqua), Pardot (Salesforce)
  • CRM: Salesforce, MS Dynamics, Oracle Sales Cloud, SAP

This platform coverage enables Omni-channel ABM campaigns across programmatic platforms, email, direct mail, and field marketing.  Scores, insights, and recommendations are provided to sales reps within CRM i-frames.

“Lattice remains the most visible “face” of the market,” said Gartner analyst Todd Berkowitz in September 2016. “With its focus on security, level of integrations and ETL tools, the company is a fit for enterprise clients (both in high-tech and other industries) and/or companies planning to deploy in multiple regions. Gartner clients report that the company’s go-to-market approach is unique in the way it addresses complex problems and help customers operationalize the insights from the models. Lattice is one of the few vendors that can recommend key plays at both the lead and account level across the entire funnel.”

According to Lattice, customers enjoy a broad set of improved metrics:

  • 2X Higher Conversion
  • 3X Greater Pipeline
  • 35% Higher Deal Sizes
  • 6% Increase in Quota Attainment
  • 85% Rise in Revenue per Customer
  • 20% Reduction in Customer Churn

The firm sells broadly across B2B sectors.  Customers include Amazon, Dell, PayPal, Staples, and SunTrust Bank.


Tomorrow’s blog will cover core Lattice Engines model building and recommendations.