Proof of Usefulness Report

Cresva

Analysis completed on 3/2/2026

+59
Proof of Usefulness Score
You're In Business

Cresva presents a promising multi-agent AI solution for ecommerce marketing, moving beyond dashboards to autonomous action. While the technical approach (seven specialized agents, shared memory) and problem-solution fit are strong, the project is in a very early 'pilot' phase with no verifiable public footprint or revenue data. The score reflects high potential and market timing, tempered significantly by the lack of concrete, verifiable traction signals and user volume.

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+2.00
Technical Innovation+12.00
Evidence Of Traction+5.00
Market Timing Relevance+9.00
Functional Completeness+4.50
Subtotal+51.25
Usefulness Multiplierx1.15
Final Score+59

Project Details

Project URL
cresva.ai/
Description
Cresva is an AI Marketing Workforce - seven specialized AI agents that autonomously run marketing operations for ecommerce brands, from attribution analysis to budget allocation to creative strategy. Unlike dashboards that show you data, Cresva's agents analyze, decide, and act - sharing memory across every decision so they compound in accuracy over time. Brands on the platform have seen forecast accuracy jump from 78% to 91%, replacing fragmented tool stacks with a single intelligent system.
Audience Reach
Currently serving pilot brands in India and the UK managing $500K+ in annual ad spend. Platform targets the 100,000+ ecommerce brands globally running significant paid media budgets across Meta, Google, and TikTok.
Target Users
Ecommerce brands and performance marketing agencies spending $500K+ annually on digital ads who are drowning in dashboards but starving for decisions. Specifically, marketing leads and founders who need senior-level marketing intelligence without the $150K/year analyst headcount.
Technologies
Other, TypeScript, Next.js, React, OpenAI + Anthropic LLMs, PostgreSQL, multi-agent AI architecture with shared memory, Meta/Google/TikTok Ads APIs, Slack integration, custom attribution modeling engine.
Traction Evidence
Active pilot brands across India and UK markets. Measurable results: forecast accuracy improved from 78% to 91% for pilot users. Platform processes real ad spend data across Meta, Google, and TikTok via live API integrations. Pricing validated at $299–$1,999/month tiers. Founded by a marketer with 6+ years managing $10M+ in ad spend for 100+ DTC brands - built from operational pain, not theory.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline