Flavor AI
Creative Data Platform for Marketers
At Flavor AI, we're on a mission to empower digital marketers to understand how the creative decisions they're making across video & image ads is affecting the KPIs they are trying to drive.
Thereby driving more sustainable revenue, at a greater scale and lower cost.
Team
Co-founders
Ramnandan Krishnamurthy (LinkedIn)
CEO
Past:
  • Product/Growth @ Microsoft
  • Strategy lead (Bing Advertising & Shopping; Azure Open AI for Retail)
  • Product & GTM for Azure Cosmos DB (scaled revenue from $1M to $100M)
  • 2nd-time founder (prev startup acquired)
  • AI Researcher in Deep Reinforcement Learning @ IIT-Madras
Ajay Krishna Amudan (LinkedIn)
CTO
Past:
  • Engineering @ Microsoft
  • Lead tech architect of Azure Revenue Intelligence Platform (led to $100M savings for Microsoft in FY23)
  • Founding engineer of Azure Cloud DNS service
  • World Finalist ACM ICPC, International Math Olympiad
Advisors
  • Matthew Eichner (LinkedIn) - Director of Sales & Customer Engagment , Google Marketing Platform
  • Shambavi Sivaramakrishnan (LinkedIn) - Global Director of Marketing at Top-5 Global CPG brand
  • Conrad Lisco (LinkedIn) - ex CMO at Series-D Audience Targeting startup, Creative agency veteran
  • Kevin Buerger (LinkedIn) - ex CEO Incubeta US
Why is creative intelligence critical now?
Creative is now responsible for 50-70% of digital marketing effectiveness. Optimizing creative lever can result in 2-5x improvement in performance KPIs
  • Old game : Was focused largely on optimizing media levers (targeting, bidding) to acquire incremental users & revenue deterministically
  • Privacy regulations and cookie deprecation causing signal loss in tracking & targeting users, making old game no longer as effective
  • Experimentation is becoming the name of the game in a probabilistic targeting world, especially around video & image creatives
  • New game : Marketers need to build a data-driven experimentation strategy to sustainably drive revenue growth, by bringing creative x media data together as new first-party data
  • Goal is to continuously test and refine creative elements based on real-time insights to maximize campaign effectiveness
Challenges faced by marketing teams to optimize for creative effectiveness
1
Lack of resources to curate creatives for analysis
  • Creative files have to be collected across channels and each creative decision taken has to be manually tagged with specific naming conventions in order to be analyzed today.
  • Given the volume of creatives being tested, short-term focus on performance optimization and silos between creative x media teams, relying on manual workflows is set up to fail.
2
Lack of advanced tooling to analyze unstructured creatives at scale
  • Marketers are limited to tooling that allows them to analyze campaigns by performance metrics & manual creative tags.
  • Forced to then eye-ball creatives and pattern-match manually to come up with hypotheses around why certain creative decisions perform better for certain goals & audiences.
  • Makes it very hard to effectively design & scale marketing experiments, esp. in the new game.

"For the campaign goal of driving conversions among a target audience of 25-30 year old women in India, do TikTok ads where the actor shows applying the cream perform better those where the actor just poses with the product?"
^^ An example of a hypothesis that is hard to be validated using data today, in order to run more cost-effective, high ROI A/B tests
Solution
A Gen-AI native creative performance measurement and analytics product
How does it work?
1
1-click integrate ad accounts across different channels (Meta, Google, TikTok,..)
2
Under the hood, an orchestra of AI workflows
- pull every piece of creative run in the past & present, automatically structuring each of them into a vector space capturing a growing list of rich creative attributes
- and overlay this with the quantitative performance KPI data from the ad accounts
3
Flavor provides a natural language conversational experience for marketers to analyze and run lift hypotheses studies to gather insights around what creative concepts affect their goal KPIs for specific audience profiles
Coming Soon
Automatic Insights Extraction
AI auto-detects associations between creative elements and marketing metrics, and recommends actionable insights proactively
Pre-testing Creative
AI predicts marketing performance KPIs (such as CPC, CTR) for each creative iteration, allowing to save $$$ pre-campaign launch
Traction
Big (Horizon Media), Darkroom, NetElixir and growing pipeline of 5+ US agencies leading the charge with exciting Proof-of-Concepts.
Our problem statement thesis and solution have been validated by 20+ target customers (creative strategists, planners, agency leads).
Business Model
SaaS pricing model
Two dimensions of pricing (function of size/revenue of company)
  • # licenses
  • ad spend
Indicative Monthly Pricing Ranges
Market Opportunity
Here we are considering consumer businesses in the US as our market. We are segmenting the market based on their annual revenue:
Contact us
If you'd like to discuss about getting a demo of the product or a potential investment, please reach out at
Email
ramkris@getflavor.ai
Phone
US: +1 206-512-6142
India: +91 9940166031