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How Artificial Intelligence Is Transforming Account Based Marketing w/ Mark Ogne

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Archived series ("Inactive feed" status)

When? This feed was archived on November 23, 2019 01:13 (5y ago). Last successful fetch was on August 22, 2019 01:57 (5y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 216686032 series 2426946
Content provided by Mariam Safi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mariam Safi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Identifying people's needs results in a 700% increase in sales. That fact has led to a huge increase in Account Based Marketing (ABM), the strategy of selecting a manageable number of accounts that have similarities so you can understand what they're interested in. ABM refocuses marketing to the customer's needs and delivering against those need. In ABM, information lives in many channels. AI and machine learning can find patterns in that data and use it to help executives make good decisions.

We invited Mark Ogne, one of the founding fathers of ABM and now CEO of the ABM Consortium, to come on an Artificial Intelligence for B2B Marketing podcast. He talked about using the digital footprints of an account to identify the changing needs of an audience and how machine learning can identify the right creative against a client's needs scenario.

Read this episode’s blog post

  continue reading

21 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on November 23, 2019 01:13 (5y ago). Last successful fetch was on August 22, 2019 01:57 (5y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 216686032 series 2426946
Content provided by Mariam Safi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mariam Safi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Identifying people's needs results in a 700% increase in sales. That fact has led to a huge increase in Account Based Marketing (ABM), the strategy of selecting a manageable number of accounts that have similarities so you can understand what they're interested in. ABM refocuses marketing to the customer's needs and delivering against those need. In ABM, information lives in many channels. AI and machine learning can find patterns in that data and use it to help executives make good decisions.

We invited Mark Ogne, one of the founding fathers of ABM and now CEO of the ABM Consortium, to come on an Artificial Intelligence for B2B Marketing podcast. He talked about using the digital footprints of an account to identify the changing needs of an audience and how machine learning can identify the right creative against a client's needs scenario.

Read this episode’s blog post

  continue reading

21 episodes

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