- Published in News Briefs
6sense has released Account-Based Retargeting, which aims to help sales and marketing teams create personalized experiences for prospects across all channels. As part of 6sense’s Account-Based Orchestration Platform, the tool is designed to create audiences in Google Ads, Display & Video 360 and other similar platforms using the platform’s predicted account, persona, buying stage and behavioral data.
Engagio has launched Orchestrate, a solution designed to enable automated, high-impact plays across advertising, sales engagement, direct mail, CRM and marketing automation channels. The account-based marketing solution aims to help teams target accounts at each point of the buying journey to build audiences for personalized campaign efforts.
B2B CMOs are shifting focus to expanded revenue responsibilities, which means they are increasingly being asked to own their numbers with heightened involvement in the customer experience and communication across the organization with strong teams. This requires today’s CMO to transform into a leader that focuses on brand storytelling, strong talent retention and team building, revenue- and customer-focused, as well as maximizing the efficiency of their tech stack.
Adobe has launched new capabilities within the Marketo Engage ABM Essentials offering, part of the Adobe Marketing Cloud, including new AI-powered models in its Account Profiling tool and an expanded LinkedIn partnership. The two updates aim to help accelerate the execution of ABM strategies for sales and marketing teams, as well as drive personalized and account-based experiences.
As B2B companies continue to develop their personalization strategies to ensure content is relevant and contextual, they are also beginning to understand that opportunities with confident buyers lead to closed business. Therefore, leading companies such as Phononic and ExtraHop Networks are using personalization strategies as a confidence builder versus a relevance builder to ease buying decisions for their customers.
How would you like to see a plethora of buyers lurking around each opportunity in your sales pipeline? I mean all the buyers, including those that don’t directly engage, but show some level of interest. The ones that don’t expose themselves. Buyers who are included in email threads and meetings, but haven’t been added to the CRM by sales reps. Or what about buyers that are exploring your website and looking at your solution, but aren’t included in sales’ emails or meetings?
Taking an account-based approach to customer acquisition isn’t simply a marketing initiative —it’s a business strategy that crosses multiple teams and tactics. To put it simply, the more developed your account-based strategy is, the more involved other teams in the organization become. This allows you to deploy more robust sales and marketing plays across a wider set of channels to drive higher engagement, lock in new meetings, increase deal velocity and expand or retain accounts.
B2C companies use machine learning for a wide range of use cases ranging from personalized recommendations, intelligent chatbots and hyperlocal advertising, just to name a few. While the number of B2C companies using machine learning is skyrocketing, adoption by B2B companies has yet to take off.
It’s time for B2B companies to get their game on. Here are some of the ways machine learning can make a significant difference for B2B companies.