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Five tools that can help you break free from data paralysis

ClickZ

If done manually, analyzing data for the purpose of making business decisions and improvements requires many steps that may include exporting and combining data from different sources, de-duping data so that it can be appropriately charted and analyzed, and entering certain data points by hand.

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How to ABM Like a Boss (Part 2): Establish an ABM Team

Engagio

Well-versed in monitoring and optimizing Marketing across channels. Look for multi-channel engagement, examples of experimentation, and meaningful measures of success. Labeling accounts by tagging in CRM. Ongoing management of data (de-duping, enriching, etc.). Well-rounded team players.

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Advances in Advertising Attribution: What You Need to Know

Digilant

Attribution across different marketing channels continues to be an evasive and near-impossible challenge for marketers to solve. Technology platforms have emerged with solutions guaranteeing a full view of a person’s journey from awareness, consideration, and purchase intent across all channels. .

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Advances in Advertising Attribution: What You Need to Know

Digilant

Attribution across different marketing channels continues to be an evasive and near-impossible challenge for marketers to solve. Technology platforms have emerged with solutions guaranteeing a full view of a person’s journey from awareness, consideration, and purchase intent across all channels. .

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Advances in Advertising Attribution: What You Need to Know

Digilant

Attribution across different marketing channels continues to be an evasive and near-impossible challenge for marketers to solve. Technology platforms have emerged with solutions guaranteeing a full view of a person’s journey from awareness, consideration, and purchase intent across all channels. .

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7 not-quite-predictions for marketing technology in 2016

chiefmartech

The adoption of “marketing middleware” did increase — DMPs, customer data platforms (CDPs), tag management sytems (which have evolved into marketing data pipelines), and cloud connector apps of all kinds — as marketers continued to build their own “stacks.” ” (A). The biggest will be “Search 2.0”