Making Science, a global digital marketing company specializing in data readiness and proprietary AI technology, and GrowthLoop, the recently-named #1 composable CDP on G2 and enterprise leader for AI-powered marketing on the data cloud, announced a partnership to launch an AI-driven marketing solution. This new offering merges Making Science’s data readiness expertise with GrowthLoop’s advanced audience segmentation and AI-powered marketing technology. Together, the companies will transform how brands collect and activate customer data, enabling marketers to launch campaigns, measure results, and optimize their approach based on AI inputs, all within minutes. For many retailers, this flexibility is crucial during the holiday season’s limited window when efficiency is key to maximizing campaign impact and revenue.
As brands gear up for the holiday rush, they often struggle to make informed decisions due to scattered and incomplete data. This leaves gaps in customer profiles, undermining retailers’ ability to deliver effective personalization – and ultimately, costing them revenue.
Consider a scenario when a customer abandons an online cart, but later purchases the items in-store. If that customer receives an email urging them to return to their cart (or worse, offering an online discount for what they’ve already bought), the result is a frustrating, suboptimal customer experience. This out-of-touch approach can damage customer loyalty and illustrates how critical it is for businesses to bridge these data gaps to stay relevant and improve performance.
The new partnership between Making Science and GrowthLoop addresses this challenge by helping brands:
- Better collect, manage, and activate their data.
- Incorporate AI-powered suggestions to measure campaign performance in real-time, unlocking the ability to continuously optimize their approach.
With these capabilities, brands can gain immediate insights into which campaigns generate the highest in-store and online sales and make real-time adjustments based on AI suggestions and predictive analytics. This enables them to fine-tune their strategies rather than waiting until the end of the holiday cycle to determine if their campaign messaging resonated with consumers.
“Brands are increasingly struggling to keep up with the rapid adoption of AI technologies in marketing,” said Jason Downie, U.S. CEO of Making Science. “Our goal is to simplify the process by ensuring brands have their first-party data in order. Once the data is ready, GrowthLoop’s advanced AI technologies step in to accurately target and optimize campaigns, delivering superior results. This partnership provides brands with an end-to-end, turnkey solution for data readiness, segmentation, and activation.”
Here’s How It Works:
Step 1: Prepare data on BigQuery. Making Science’s data migration and architecture expertise ensures comprehensive, unified data from any source(s) required.
Step 2: Build and activate campaigns with GrowthLoop to any desired channel, enhanced by Making Science’s AI cluster models and predictive AI for smart bidding through its proprietary technology, Gauss Smart Advertising, to boost performance on platforms like Google and Meta.
Step 3: Measure real-time campaign performance on GrowthLoop, powered by Google’s Looker, and use insights to make immediate campaign adjustments that increase revenue impact.
Step 4: Leverage GrowthLoop’s AI-powered “The Loop” to analyze results, recommend improvements, and loop new data back into BigQuery for continuous improvement and optimization.
“With Making Science handling data readiness and GrowthLoop delivering AI-driven, real-time insights into campaign performance, brands now have a complete solution to get the most out of their marketing spend,” said Chris O’Neill, CEO of GrowthLoop. “This partnership unlocks AI technology that helps marketers continuously optimize their campaigns — lowering costs, simplifying processes, and creating better customer experiences.”
Key Benefits:
- Speed and flexibility: With access to clean, ready-to-use data, marketers can launch campaigns and optimize them in real time, ensuring they can react swiftly to customer behavior.
- Better data for better performance: By integrating high-quality first-party data with predictive models, brands can anticipate market trends and deliver personalized campaigns that resonate with their target audience.
- Cost efficiency and ROAS: By consolidating efforts with a single partnership, brands reduce the need for multiple vendors and tools, streamlining operations, cutting down costs, and maximizing return on ad spend (ROAS) by ensuring they use ad budgets more effectively.
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