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Adobe Expands Integrations With AI-Drive Account Profiling, LinkedIn Synching

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.

B2B Personalization Strategies Pivoting As Buyers Require Confidence, Consensus

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.

Auto-Detecting Sales-Opportunity Contacts With AI

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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?

Executing Account-Based Marketing Plays: Four Steps To Success

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.

Why Machine Learning Matters To B2B Companies

Abhi Yadav ZylotechB2C 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.

Top Quotes From #B2BSMX

We're still coming down from the high of the excitement at our first-ever B2B Sales & Marketing Exchange at the Encore Boston Harbor resort last week. With so much great content under one (very fancy) roof, there was no shortage of actionable advice and quotes-to-live-by to bring back to the office. 

In case you missed out on the fun, we've rounded up some of the best quotes, one-liners and takeaways from #B2BSMX from our esteemed speakers. 

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#B2BSMX 2019: Organizational Alignment, Optimized Revenue Engines Key To Sales & Marketing Ops Success

B2B marketing and sales are constantly evolving. As new tools and technology enter the space, new challenges and innovations come to fruition. Buzzwords and new (but not-so-new) terms such as account-based marketing and revenue operations have shaken up the industry in positive ways. But at the end of the day, true success all comes down to organizational alignment — especially around sales and marketing teams, including marketing ops, sales ops, etc. Ultimately, teams work better together.  

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