Channel, Partner & Local Marketing

Channel Marketing Solutions OneAffiniti Launches Platform Addition

New platform feature gives channel partners at-a-glance insights into the most relevant customer and prospect to simplify follow up and drive sales.
partner relationship management

OneAffiniti, a leader in through-channel marketing solutions for global IT partners and brands, announced the launch of its Insights Hub with the Account Profiling dashboard, an addition to the company’s through-channel marketing platform. Account Profiling gives partner companies data and insights to quickly identify their customers and prospects that are in-market in order to prioritize buyers that are exhibiting intent signals.

“With Account Profiling, we’re putting critical marketing data at the fingertips of channel partners in a simple, straightforward way and eliminating the need to buy expensive intent data from third-parties and then feeding that data into their CRMs,” said OneAffiniti CEO, Joel Montgomery. “While the intent data is valuable as a stand-alone, the fact that it is combined with their own campaign performance insights takes the key value to the next level, especially for smaller partners that might lack the resources available to utilize the data on its own.”

The OneAffiniti Account Profiling feature is part of OneAffiniti’s through-channel marketing (TCM) platform which is part of their TCM program that provides unique and tailored always-on marketing campaigns for partners that includes email marketing, social media content driving traffic to landing pages, as well as other demand and lead gen activities.

Account Profiling includes the following features:

Lead scoring per account based on buying behaviors and activities
Profiling data with signals that include… intent score, buying stage, location(s),   keyword category(s) and top site visited
Insights into accounts that are ready to buy (and their search topics)
Actual activities logged against each account
Recommended “next step” actions based on scores and predicted readiness

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