A new data intelligence feature is available on the Platform: Marketing Effectiveness Scores, designed to objectively measure how well an organization’s marketing performance aligns with its token performance across both on-chain and off-chain ecosystems. Just as the Transparency Score sets a new standard in quantifying organizational openness, the Marketing Effectiveness Score offers a new dimension in understanding the real ROI of visibility strategies, moving beyond vanity metrics and into algorithmic accountability.
What is the MES (Marketing Effectiveness Score)?
The Marketing Effectiveness Score (rated from 0 to 100) assesses how efficiently a project’s marketing footprint translates into token market outcomes. It’s the first scoring framework to connect real-time token performance with quantifiable PR, community, and influencer activity, all in one place. The score is powered by irmaAI, VaaSBlock’s proprietary AI engine, which continuously monitors, ingests, and filters large-scale data from both on-chain behavior and off-chain communications, including:
- Social media trends
Public relations activity
Web traffic
Token price movement and volume
Ecosystem metrics
Growth campaigns
More marketing data..
How is the Score calculated?
At the heart of the Marketing Effectiveness Score is a multi-layered algorithm developed by the VaaSBlock team, powered by our in-house AI engine, irmaAI. This model draws from a wide spectrum of public data sources, combining both off-chain marketing activity and on-chain token performance into one unified view.
irmaAI continuously monitors major social platforms like Twitter, Discord, Reddit, Quora, and indexed news media to track how projects communicate, grow their communities, and maintain visibility. At the same time, it processes blockchain-native data (such as token volume shifts, liquidity depth, and holder distribution) to observe how the market actually reacts.
By integrating temporal pattern analysis, the model evaluates whether a spike in marketing effort genuinely precedes token movement or merely trails it. All of this data is passed through a correlation-weighted mapping system, which is designed to filter signal from noise. The result is a score that reflects not just how much noise a project makes, but how effectively that noise converts into measurable outcomes.
What you see on the VaaSBlock Platform
Every organization listed on VaaSBlock now includes a dedicated Marketing Effectiveness panel, presenting a score between 0 and 100 that quantifies the connection between marketing activity and token performance. Accompanying this score is a Confidence Index, which tells users how statistically reliable the data behind the score is, depending on available signal strength.
To further contextualize performance, each project also receives a VaaSBlock Rank, comparing its marketing effectiveness to every other entity tracked on the platform. This makes it easy to benchmark, spot underperforming marketing efforts, or identify projects that consistently convert visibility into real token traction.
irmaAI keeps these scores up to date, recalculating as new social and on-chain data enters the system. This allows for real-time tracking of campaigns, sentiment shifts, and performance patterns as they evolve.
Why It Matters
In an ever growing interconnected AI and Web3 ecosystems, marketing is no longer just about visibility, it’s about verifiable impact. As capital flows into increasingly complex networks of protocols, assets, and AI-driven platforms, the ability to assess whether a project’s public narrative aligns with measurable results becomes absolutely critical.
The Marketing Effectiveness Score offers a new lens to analyze how storytelling translates into actual market performance. It helps distinguish between genuine traction and orchestrated hype, a difference that has enormous implications across multiple verticals.
For example, in compliance and risk monitoring, understanding how a token’s performance is influenced by promotional activity can help regulators and infrastructure providers detect anomalies, assess potential manipulations, or support enforcement frameworks. In quantitative trading, this score serves as a signal layer, revealing sentiment-driven volatility or flagging projects whose token behavior deviates from their marketing trendlines. Meanwhile, in due diligence and investment research, the score provides an objective filter to assess whether visibility translates into long-term viability.
What’s Next?
The launch of the Marketing Effectiveness Score marks a major milestone in the evolution of the VaaSBlock platform as a real-time, data-driven reputation and intelligence system for the Web3 and AI ecosystem. As we expand the scope of irmaAI, we are pushing toward higher analytical accuracy and contextual insight, helping users go beyond surface metrics to assess deeper market and behavioral patterns.
This new layer of marketing intelligence opens the door to a wide range of high-impact use cases. In finance, it enables more granular token and project valuation strategies based on media sentiment, campaign consistency, and correlation to performance. In compliance, it strengthens the ability to detect market manipulation, orchestrated hype cycles, or anomalous attention patterns that may raise red flags for regulators or institutional gatekeepers.
As we continue to refine the model, users can expect more customizable data views, correlated intelligence across scoring categories, and enhanced ways to compare organizational behavior and market performance. This is just one step toward our broader vision: to build a platform where visibility, trust, and verifiable data are deeply and transparently connected.
Start now
The new Marketing Effectiveness Scores are now on the VaaSBlock Platform.
⚭ This article has been co-created by VaaSBlock Consulting Team and irmaAI agent.
