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Could happy advertisers be the key to connected TV success? by MNTN

Martech

As ad-supported content offerings grow, streaming services and other CTV advertising platforms are developing more sophisticated technologies to meet advertisers’ needs. Studies revealed that while 81% of marketers said they use CTV to raise brand awareness, two-thirds classify it as a performance marketing channel.

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New versions of ChatGPT and other AI martech releases this week

Martech

added AI to its headless CMS platform. is a new AI-powered programmatic ad platform. It has contextual targeting that analyzes web pages to increase the relevance of the ads. It has contextual targeting that analyzes web pages to increase the relevance of the ads. Are you getting the most from your stack?

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HiveFire Curata Cuts the Work in Content Aggregation

Customer Experience Matrix

Curata reduces this effort by using natural language processing to automatically identify, classify and tag potential articles. But I did see a number of features I’d like added. So even in its current state, Curata is worth a look if you want to sail the seas of content aggregation.

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Five Takeaways from Advertising Week 2023

Digilant

Premium Content” is Rebranding Historically, premium content, and therefore premium ad buys, entailed getting your brand placed within the newest TV releases or blockbuster films. While this program aired over ten years ago, based on viewership numbers, it warrants a premium ad buy. Enter: Free Ad-Supported TV, otherwise known as FAST.

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Bart De Pauw of GroupM and Marcel van der Kooi of ScanmarQED discuss Triangulation

ScanmarQED

A strength, as it can measure also longer-term effects; a drawback, as it has only limited, or aggregated, data to measure the short-term effects. MTA is providing insights into how digital channels are contributing to a conversion both at campaign and ad level. Attribution models can be classified in two groups. Marcel: Yes.

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Datorama Applies Machine Intelligence to Speed Marketing Analytics

Customer Experience Matrix

Dig a bit deeper and the confusion just grows: the company works mostly with aggregated performance data, but also works with some individual-level data. It grew by solving a very specific problem: the challenges that advertisers and publishers face in combining information about ad placements and results.

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You can now filter the 10,000+ martech landscape by revenue, size, age and G2 ratings

chiefmartech

Frans and I ran a few analyses on this data in aggregate and found several interesting patterns. G2 provided data about the ratings for many of these products. Is there a martech product you know that is missing or needs its category updated? Contribute your suggestions here. Martech Product Ratings: Patterns & Hypotheses.