MMM Model Update Cadence Is Often Decided by Budget and Not by What is Ideal

So here is a unpopular opinion or fact – Most MMM model update cadence is decided by budget availability rather than what is ideal.

One of the least discussed aspects of MMM is model refresh cadence.

📌 How often should an MMM be updated?

In theory, the answer should depend on:

– How fast marketing/media strategies change
– How much new data arrives
– How frequently budget decisions are made

However, the cadence is often decided by something much simpler – Budget availability

Once the model build is priced, the next natural question is – “How much will it cost to update the model?”

Many vendors price updates almost like mini rebuilds, which leads to a strange situation.

If the original model cost $10k, the update also ends up costing close to $10k !!

At that point, clients start thinking: “Let’s just update it once in six months or once a year”

The decision hence is no longer rooted in statistical or marketing accuracy but it becomes more financial.

📌 MMM Update vs MMM Rebuild

Updating MMM is not the same as rebuild.

The amount of work required depends heavily on how much time has passed since the last model.

For example:

If the model was finalized one month ago, the update typically involves:

– Adding the new data
– Re-estimating or tweaking parameters
– Validating diagnostics
– Checking stability and coherence of contributions

This is not the same effort as rebuilding the model from scratch.

Sometime in a rebuild, one may also include data (new variables in itself) that was previously missed.

📌 How we think about Model updates at Aryma Labs

At Aryma Labs, we price model updates primarily based on time elapsed since the final model, because that directly determines the modeling effort required.

A typical structure might look like this:

▪️Monthly Update:
Parameter refresh + diagnostics. Total cost $2k

▪️Quarterly Update:
Structural checks + partial rebuild. Total cost $5k

▪️Half-Yearly Update:
Full rebuild. Total cost $10k

📌 Why the difference?

Because the longer the gap:

▪️The more media patterns drift

▪️The higher the chance of structural change

▪️The greater the need for re-specification

At that point, it becomes closer to building the model again, not just tweaking coefficients.

📌 Our goal is simple: Encourage more frequent updates.

Monthly or quarterly refreshes keep the model stable, relevant and most importantly- aligned with real marketing decisions

Waiting six months often means the model becomes historical analysis rather than a decision tool.

MMM should not be treated like a one time research project.

It should behave more like a living measurement system.

And that requires update economics that make frequent refreshes practical, not financially prohibitive.

P.S: Detailed article on MMM model update in comments.