SLEEPING GIANT LABS HARNESSES PROPRIETARY DATA TO LAUNCH AI-POWERED BRAND CAMPAIGN STARTERKITS

- Actionable, data-driven marketing plans and creative materials solve the challenges of modern-day marketers -

Denver, CO - November 20, 2024 - Sleeping Giant Labs, a primary research platform equipping brands with tools to design and execute psychology and data-driven marketing strategies, announced the launch of Brand Campaign StarterKits at the recent DigiMarCon Digital Marketing Conference. The platform empowers brands to create a more authentic relationship with their target audience with actionable, data-driven insights, plans, and creative materials.

The full suite of strategic plans and creative direction harnesses 1.9 billion data points from Sleeping Giant Labs' Consumer Emotional Index (CEI) to train its specialized language models (SPLMs) to provide marketers with data-driven, AI-generated, Creative Director-approved campaign executable plans and assets. The media and communications plans, campaign MoodBoards, and suggested digital ads set marketers up to implement and execute full campaigns in up to 80% less time.

"Today, marketers and agencies are operating in a rapidly changing ecosystem and experiencing a lack of resources, budget, and time," said Gary Moskoff, President and Managing Analyst of Sleeping Giant Labs. "Consumer demands and expectations continue to rise and brands need a way to develop and maintain authentic relationships with their communities. We are excited to leverage the CEI's vast trove of data and give marketers more than data points they don't know what to do with or how to interpret."

Sleeping Giant Labs' CEI combines neuroscience, psychology, artificial intelligence, and over twenty years of brand engagement research to explore consumer feelings, attitudes, behaviors, and media consumption patterns. Brand Campaign StarterKits leverage AI models trained on the CEI's primary data to develop comprehensive, actionable campaign plans and ads.

"We go a huge step farther than traditional research's data and insights that need additional time, approval, and effort to be understood before being incorporated into action plans and assets," said Scott Kaylie, Chief Data Officer at Sleeping Giant Labs. "Instead, we provide actionable, executable plans and sample creative assets based directly on primary data (the voice of the customer) within days. With primary data leading the communications, media planning, and creative direction, Brand Campaign StarterKits reduce bias in the planning and creative processes, resulting in campaigns that resonate more deeply with one's audience and are targeted more effectively."

Brand Campaign StarterKits eliminate time-consuming work around understanding data, generating insights, and drafting plans and instead generates unbiased, actionable plans based directly on the data itself. Developed by AI, it is a unique combination of strategy and creativity consisting of comprehensive, primary data-driven, tailored media, communications plans, and ads.

For more information about Sleeping Giant Labs and Brand Campaign StarterKits, please visit https://sleepinggiantlabs.com/starterkits/.

Sleeping Giant Labs
Lafayette, CO 80026
Media Contact:
Caroline Phipps
Carve Communications
caroline@carvecomms.com

Founded on the belief that decisions based on primary research lead to stronger ROI and community understanding and support, Sleeping Giant Labs (SGLabs) offers an innovative suite of products and services that empower brands to design and execute psychology and data-driven strategies and ad campaigns. With 1.9 billion data points about consumers and business executives and 4.7 million possible personas, Sleeping Giant Labs' Consumer Emotional Index (CEI) arms businesses with a proven perspective on who their customers are,how to best engage with them, and how to develop authentic relationships with them. Enterprises such as Intel, AT&T, Nite Ize, University of Colorado, and Spyder have trusted Sleeping Giant Labs to power their business, marketing, and media strategies.

This release was published on openPR.