Amplification of Seeding Programs, Powered by RAD Intel
Sweetgreen Served Serious ROI
Sweetgreen, the leading fast-casual restaurant chain for healthy food, approached RAD Intel with a clear need: to generate quantifiable results that every stakeholder in their marketing organization could appreciate.
With a goal to expand and scale content-driven programs, the brand sought a no-nonsense approach to influencer marketing that would deliver authentic, organic content while driving trials among new audiences.
The company had previously engaged several influencer marketing agencies but sought more clarity and precision around talent selection and a scalable way to promote trial through organic influencer-driven campaigns.
The Challenge
Activating campaigns quickly while maintaining Sweetgreen's high brand standards.
Proving ROI against historical benchmarks while expanding their digital reach.
Demonstrating that RAD Intel’s audience-first personas could drive tangible results, especially in generating buzz and organic word-of-mouth.
The Audience-First Strategy
RAD Intel transformed how decisions were made around creative direction and content creation in the influencer marketing space. Our approach for Sweetgreen combined cutting-edge technology with deep audience insights to ensure every campaign was optimized for impact and engagement.
Unbiased, audience-first personas
AI-powered influencer discovery for precise targeting
Performance tracked and benchmarked against predetermined KPIs
Fast and transparent campaign execution
Over 600 API data connections for enhanced data accuracy and integration
+188%
RAD Intel informed ads Improved engagement rate by 188% against ads in the same test group. This resulted in a reduced CPA by 27%.
Before RAD INTEL
Struggled to quantitatively measure the impact of influencer content in paid media.
Collaborated with influencer marketing agencies but lacked clarity on talent selection criteria.
Encountered delays in campaign activations and lacked visibility into content performance metrics.
Influencer and content strategy for middle America markets was biased and needed validation.
After Rad INTEL
For the first time, Sweetgreen mined social conversations for data-driven discovery, powered by the RAD Intel AI-driven platform, uncovering overlapping primary, secondary, and cultural interests.
Within 24 hours, RAD Intel dispelled the myth of the prohibitive '$25 salad,' revealing that accessibility, not cost, was the primary consumer concern.
Key Audience Segments were identified; Eco-Conscious Foodies (18-34), On-The-Go Wellness Seekers (25-55), and Body Positive Advocates (18-45).
Sweetgreen’s messaging aligned with each audience segment, pairing them with the right influencers and content formats to maximize engagement.
The Rad INTEL Differentiation
188%
RAD Intel Ads outperformed the previous engagement rate in the ad group
27%
RAD Intel ads decreased the cost-per-acquisition
137%
At the ad group level, RAD Intel content was more effective at driving clicks to the destination
173%
Our content outperformed previous engagement rates over 6 months
88%
RAD Intel influencer content decreased the cost-per-acquisition
153%
Over 6 months, RAD Intel content was more effective at driving clicks to destination
188%
RAD Intel Ads outperformed the previous engagement rate in the ad group
27%
RAD Intel ads decreased the cost-per-acquisition
137%
At the ad group level, RAD Intel content was more effective at driving clicks to the destination
173%
Our content outperformed previous engagement rates over 6 months
88%
RAD Intel influencer content decreased the cost-per-acquisition
153%
Over 6 months, RAD Intel content was more effective at driving clicks to destination
Smarter and Faster
Learn more about audience-first personas and AI-informed influencer discovery.
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