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7 not-quite-predictions for marketing technology in 2016

chiefmartech

There weren’t many new big company entrants into the marketing tech space in general, although Facebook, LinkedIn, Twitter, and Google all continued to build deeper direct relationships with marketers. (C-). Overall, I’d give my not-quite-predictions from last year a B+ or maybe an A-. The biggest will be “Search 2.0”

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Advances in Advertising Attribution: What You Need to Know

Digilant

Powerful publishers like Facebook, Twitter, and Google limit (or entirely block) data from marketers – many who argue is rightfully owned by the marketer. Instead of having to rely on each platform’s reporting or trying to understand how to de-dupe conversions across platforms, a multi-touch model can be created. .

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Advances in Advertising Attribution: What You Need to Know

Digilant

Powerful publishers like Facebook, Twitter, and Google limit (or entirely block) data from marketers – many who argue is rightfully owned by the marketer. Instead of having to rely on each platform’s reporting or trying to understand how to de-dupe conversions across platforms, a multi-touch model can be created. .

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Tweet late, email early, and don’t forget about Saturday: Using data to develop a social media strategy » Nieman Journalism Lab

Online Marketing Institute

Zarrella works for HubSpot , mining data on hundreds of millions of tweets, blog posts, and email newsletters to help marketers find trends. On Facebook, Zarrella says, the effect is even more pronounced: Facebook participation on weekdays is infinitesimal in comparison. (He Deze week presenteerde hij de resultaten.