- AI Strategist
- Posts
- I watched $10M in attribution data disappear overnight
I watched $10M in attribution data disappear overnight
We trust banks because they never delete transactions. Why do we let our marketing platforms overwrite our most valuable data every single day?
Pallas Advisory
October 15, 2025 • Estimated Reading Time: 7 minutes
In partnership with
Welcome, AI Strategists
💫 Current thoughts: Your attribution dashboard is confident. It shows you a number. But that number is a snapshot, a single frame from a very long movie. The context—the plot, the character development, the reason things changed from last quarter—is gone, overwritten by today's data.
When your bank shows your balance, it's backed by an immutable log of every transaction. You can replay history, spot fraud, and understand patterns. Marketing data should work the same way, but the architecture of most major SaaS platforms makes this impossible by design.
If you can extract yourself from the SaaS Enterprise ecosystem you are in - there’s a better way IMHO. (Hint, read my blog)
This Week's Breakdown
Prompt of the Week:
Want to diagnose what your current stack can't tell you? I built this prompt to help you identify blind spots in your attribution data.
Copy this into Claude or ChatGPT, fill in your details, and it'll show you exactly what questions your current tools can't answer:
Act as a marketing operations consultant specializing in data architecture. I am going to describe my company's marketing and sales stack, my key business questions, and my current reporting process.
Based on the information I provide, your task is to:
- Identify the most likely points of data loss or 'snapshot' reporting in my current workflow.
- Formulate 5-7 critical attribution questions that my current stack likely cannot answer due to its architecture (e.g., "What is the journey of a customer who converts after 6 months vs. 6 days?").
- Explain, in simple terms, the difference between the 'snapshot' data I'm likely collecting and the 'event stream' data required to answer these critical questions.
- Generate a brief, non-technical summary I can share with my leadership team explaining the business risk of not having this deeper data.
Here is my information:
Company Type: [e.g., B2B SaaS, D2C eCommerce]
Marketing & Sales Tools: [e.g., HubSpot, Salesforce, Google Analytics, Segment, etc.]
Key Business Questions I Have: [e.g., "What is the true ROI of our podcast ads?", "How do offline events influence online conversions?"]
My Current Reporting Process: [e.g., "I rely on the default dashboards in HubSpot and GA4. I export some data to Google Sheets to try and merge it manually."]"Go from AI overwhelmed to AI savvy professional
AI keeps coming up at work, but you still don't get it?
That's exactly why 1M+ professionals working at Google, Meta, and OpenAI read Superhuman AI daily.
Here's what you get:
Daily AI news that matters for your career - Filtered from 1000s of sources so you know what affects your industry.
Step-by-step tutorials you can use immediately - Real prompts and workflows that solve actual business problems.
New AI tools tested and reviewed - We try everything to deliver tools that drive real results.
All in just 3 minutes a day
🤖 Thrilled to report the internet is only half slop now—like celebrating when your sandwich is merely 50% mold.
đź›’ Walmart's ChatGPT integration: finally, just what I wanted, ads in my output.
đźš— Guy orders 50 Waymos to a dead-end street, discovers robots are more patient than any human Uber driver.
đź—ż Satellites Spotted 76 Strange Stone Structures in the Andes. Scientists Now Know What They Are.
🤨 Well This Sucks: Job search survival kit 🎉
🆒 Sharing is caring, and it makes you look cooler too! Share this newsletter
Interested in starting your own newsletter?
Use this link and get a free 30-day trial + 20% OFF for 3 months.*