1 / 2

Accelerate ABM with Machine Learning

The predictive machine learning tool will be able to rank accounts within target lists based on firmographic and technographic fit characteristics.

davidjones8904
Télécharger la présentation

Accelerate ABM with Machine Learning

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Accelerate ABM with Machine Learning RollWorks, a division of AdRoll Group, is a leading ABM and B2B marketing platform for better ROI, lower cost per click (CPC) and higher CTR for various organizations. Earlier this week, RollWorks revealed that it has launched a new machine learning solution for B2B organizations that use Account-Based Marketing (ABM). By introducing a new predictive identification form, they can analyze closed deals for the company or clients who have won them to determine which one will be more inclined to make a purchase. The predictive machine learning tool will be able to categorize accounts within target lists based on consistent and technological relevance characteristics. This feature will enable them to access data from more than 18 million accounts and more than 320 million contacts. “Organizing around a robust target account list is a key component of an account- based approach, whether you are just starting out or have already developed a market-leading ABM program,” said Robin Bordeaux, president of RollWorks. Often times, however, selecting and prioritizing the right target accounts is a guessing game. That's why providing account points backed with high-quality data and machine learning for our platform was essential. Not only does this new feature empower our customers with a more accurate and objective solution for setting account priorities, but also improves overall collaboration between the marketing and sales teams. CONNECT WITH A DEDICATED DECK7 ACCOUNT MANAGER Some of the main features include: Salesforce sync: This includes two-way and automated syncing with Salesforce. This dynamic feature enables sales and marketing alignment to prioritize specific account lists. Account Suggestions: To show high-quality new accounts from the RollWorks B2B database, allowing users to target accounts they don't currently track in Salesforce CRM.

  2. Account groups: Target similar types of customer segments based on fixed attributes and account scores. Sales and marketing alignment is a key component of successful multi-channel marketing, but meaningful collaboration can be difficult to facilitate - especially with massive amounts of account data. Account-based teams need robust technology to help uncover actionable insights and target the accounts that matter most. There are some AI challenges affecting your marketing that you should be aware of. The new RollWork account registration feature within our identification solution provides recommendations and enables precise prioritization of target account lists. We've also announced additional features including account suggestions, which bring out new accounts from our B2B database, enabling customers to target accounts they don't currently track at Salesforce. ”Justin Cooperman, Vice President of Product Management.

More Related