Marketo Lead Scoring Model Issues

(Your post changed dramatically so my original response doesn't fit. Since responses can't be totally removed, I'll edit with a real response later!)

I don’t think there is such a thing as a “Marketo Lead Scoring Model”. They are Scoring Models and then there’s Marketo which offers tools to execute that model. Marketo’s tools are Smart Campaigns with their triggers and filters and Flow Steps that add, subtract or set a score value. 

So you could probably ask: Why doesn’t my model deliver results? Well, you would have to question your model. Or: Are Marketo’s tools sufficient to execute my model? Well, maybe not. Depends on your model.

So what is your model, and why do you think Marketo doesn’t support it well? Or is there a specific “issue” with Marketo’s scoring? Or would you expect a feature that Marketo doesn’t have?

Completely agree with ​@Michael_Florin-2 here! In most cases, scoring models don’t fail because of Marketo, but because of how they’re designed and maintained. From what I’ve seen, the most common reasons are:

1. Over-scoring/score inflation
   • Too many activities contribute to score
   • Scores keep increasing without decay/reset
   • Everyone eventually becomes “highly qualified”
   • Resulting in Sales stops trusting the score
2. No decay scoring
   • Only adding points, never subtracting
   • No penalty for inactivity
   • Resulting in old, disengaged leads still look “hot”
3. Improper/non-existent alignment with Sales:
   • MQL definition not agreed with Sales
   • MQL definition not agreed with Sales
   • Resulting in leads passed to Sales aren’t actually ready
4. Scoring the wrong behavior signals:
   • Giving high weight to low-intent actions (e.g., email opens)
   • Not enough weight on high-intent actions (e.g., demo requests, pricing page visits)
   • Resulting in score not reflecting actual interest
5. Operational issues in Marketo
   • Campaigns not triggered correctly
   • Duplicate campaigns adding score multiple times
   • Missing constraints (e.g., scoring the same action repeatedly)
6. Last but not least, no ongoing optimization:
   • Model is built once and never revisited
   • No feedback loop from Sales (conversion to opportunity, revenue)

IMHO, the best-performing scoring models are simple, regularly reviewed, and tightly tied to actual conversion data. Could you relate to any of the points mentioned above?

Let us know if you'd like us to zoom in on any specific issue you're facing (again, it'd be great to have more context).