Unlocking Strategic Insights and Proposal Efficiency for Media Sales Teams
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Unlocking Strategic Insights and Proposal Efficiency for Media Sales Teams
Client
Entertainment Company
Industry
Entertainment Media Company (Advertising)
Objective
Streamline RFP response processes to increase efficiency and strategic depth across departments handling high-volume, commoditized client briefs.
Audience
Geologie Marketing Team
Tech
Google Gemini
Data
Consumer Data
Objective
Streamline RFP response processes to increase efficiency and strategic depth across departments handling high-volume, commoditized client briefs.
Geologie needed to understand Target shoppers who differed significantly from their direct-to-consumer audience for their acne treatment line retail launch.
Traditional go-to-market validation would have required 9 weeks and$39,000 per test cycle, making rapid iteration impossible for their launch timeline.
RehabAI developed an AI-poweredStress Tester specifically trained on 1.4 million customer records from Geologie's database, transforming their first-party data into strategic insights.
The system featured data integration, persona generation, instant testing, and rapid iteration capabilities that traditional methods couldn't match.
Geologie cut their go-to-market planning time by 88% (from 9 weeks to 9 days) and reduced costs by over 80% (from $39,000 to under $3,100 per test).
The solution enabled a successful launch in nearly 1,000 Target stores while validating emerging customer segments that led to the winning tagline: "Bad for acne, good for you."
Sales teams struggled to access consumer data insights and quotes essential for storytelling in brand proposals.
Tracking inventory by category, demographic, or geography was a manual, time-consuming process.
Gathering brand research and synthesizing client briefs required substantial manual effort.
The AI-Powered Proposal Engine revolutionized the RFP response process by combining automation, insights, and optimization.
The AI surfaces relevant quotes and insights from consumer data to craft compelling narratives.
AI integrates real-time data on inventory, categorized by demographic, geography, and other relevant criteria.
The Proposal Engine automates proposal synthesis and generates narrative ideas, pre-testing them with virtual audience personas.
Allowing teams to respond to RFPs faster and reallocate resources to high-impact activities.
Proposals became more aligned, increasing their relevance and improving win rates.
Reinforce the client’s strategic position in the market, delivering data-backed proposals that outpaced competitors.
The AI-Powered Proposal Engine transformed the client’s approach to RFPs, delivering unprecedented efficiency, strategic precision, and creative resonance. By automating time-consuming tasks, equipping teams with actionable insights, and optimizing proposals in real time, the solution empowered the client to outperform competitors in a highly competitive landscape.
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