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Dealtale’s Revenue Science Video Series Wins Bronze Telly Award

Dealtale's Revenue Science Platform for Marketers

Showcasing Industry Thought Leaders and Leveraging Strategic Storytelling and Creativity in Marketing, the Four-Episode Project Competed Alongside Industry Giants

Dealtale, the revenue science company, announced that their Revenue Science Show series has garnered a Bronze Telly Award in the Science and Technology category. The Telly Awards honor excellence in video and television across all screens and are judged by leaders from video platforms, television and streaming networks. Dealtale’s win showcases the stealthy startup’s ability to compete alongside tech titans like Meta and media powerhouses such as National Geographic and Bloomberg Media.

Dealtale’s platform empowers marketers to attribute revenue to top-of-funnel content that is traditionally challenging to measure – tracking the entire customer journey, even when users are anonymous. By connecting revenue directly to their efforts, Dealtale helps marketers gauge ROI and strategize accordingly.

Totaling four episodes, the inventive series educates viewers about revenue science in engaging and entertaining ways. Leveraging colorful nods to pop culture, relatable content and real-life scenarios, Dealtale’s creative team brought revenue science stories to life, making complex data concepts accessible and engaging for viewers.

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“In today’s environment, where doing more with less is crucial, the adoption and advancement of revenue science plays a significant role in empowering marketers”

“Startups like ours can accomplish a lot through creativity,” said Molly St. Louis, Head of Marketing at Dealtale who served as Writer/Producer for the series. “When you tell an interesting story, people tend to listen. Also, you can keep the budget lean by really fine tuning the production process every step of the way, while maximizing the potential of every creative person working on it.”

Tapping into the creativity sparked by the quotidian, the series serves up such story-centric episodes as “Pumpkin Spice Logic,” “The Ghosts of Campaigns Past,” “The Introvert Demographic,” and “Purrrfecting Marketing ROI.” The animated vignettes accompanied by a brilliant yet approachable narrator and expert guests paint high level concepts in surprisingly colorful ways. Unpacking concepts like causal inference, prescriptive analytics, marketing touchpoints and Markov Chains through familiar stories, each episode was underpinned by the aim of ultimately catalyzing change and inspiring marketers to make data-driven decisions that generate more tangible results with fewer resources.

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“In today’s environment, where doing more with less is crucial, the adoption and advancement of revenue science plays a significant role in empowering marketers,” said Jake Klein, CEO of Dealtale. “Dealtale’s mission is to make data accessible to every marketer, enabling them to prove revenue and budget based on verifiable data, rather than relying on guesswork. By achieving this recognition on a small startup budget, Dealtale showcases the promise of AI in freeing marketers to embrace their creative potential.”

With the recent launch of Dealtale IQ, a ChatGPT-like feature that allows marketers to ask data questions in natural language and receive instant answers, Dealtale aims to further support creativity by removing the barriers of time-consuming data analysis.

Along with St. Louis, the creative team behind the winning campaign included Daniéla de Lange (Creative Director), Tamzyn la Gorcé, Deone Rabe and Viola Chloe Hunter (Illustrators), Jessie George and Catherine Theodosopolous (Animators), Anirban (Bann) Roy (Director), Ruben O’Malley (DP), Steve Buckingham and Emily Abt (Camera Operators), James Coakley III (Key Grip), Neil Kelly (Gaffer), Matt Emmanuel (Camera Assistant), Matt Jepson (Audio Mixer), Laura Yamasaki (Hair and Makeup), and Laura Quiambao (Script Supervisor).

Expert Guests include Dr. Vishal Sikka, Jake Klein, Sanjay Rajagopalan, Tao Liu, David Lotan Bolotnikoff, Shabana Khan, Xiwei Zhou, and Ariel Geifman.

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