Amplify / MMM budget optimiser

Every marketing budget what-if answered
in seconds.

Amplify is a budget optimisation and scenario planning tool for marketing mix models. Upload a model, ask the question, get the answer in seconds.

Book a call →

What it is

Your model provides the insights.

Amplify turns that into an optimised media plan.

Your model knows how each channel responds.

Amplify turns that into a budget.

Bring a model built by your in-house team or by us. Amplify hands it to an optimiser and puts the whole thing behind an interface a marketer can use without opening a notebook. No data scientist on standby, no waiting for a re-run.

Scenarios

Plan for the questions you frequently get asked

Max response

“We have £500k. Where should it go?”

Find the channel mix that returns the most incremental revenue or conversions for a fixed budget.

Target response

“We need £2m next month. What’s the least we can spend to get there?”

The same question, flipped. Find the smallest budget that hits a revenue or conversion target. Most native packages don’t run this one.

work with your budget

“We have £1.5m, but at least £500k needs to go to Meta.”

Pin spending requirements and work with ring-fenced budgets to optimise your budget.

Counterfactual spend

“What happens if we significantly increase spend on a channel where investment has historically remained flat?”

Test spend patterns you haven’t tried yet, before spending anything on them.

Why not just use the package?

Better answer. Far less waiting.

Running an optimisation in a notebook takes several minutes. Amplify runs scenarios in seconds.

Running an optimisation in a Meridian notebook takes several minutes. Fine once. Painful when you want to test twenty ideas before lunch.

Amplify answers in seconds.

Open-source notebook

several minutes

minutes

Amplify

seconds

40-90x

faster than Meridian's native optimiser on a typical model.

faster than Meridian’s native optimiser on a typical model.

0.05%

Results match Meridian's to within this margin.

Results match Meridian’s to within this margin.

Results match Meridian's to within this margin.

~1 min

From uploading a model file to running your first scenario.

Flighting-aware predictions

Some tools predict a 13-week period by averaging weekly spend and multiplying it out. Response curves aren't linear, so that shortcut gives a noticeably different number. Amplify predicts week by week using the actual flighting, so the prediction for the period is more accurate.

Some tools predict a 13-week period by averaging weekly spend and multiplying it out. Response curves aren’t linear, so that shortcut gives a noticeably different number. Amplify predicts week by week using the actual flighting, so the prediction for the period is more accurate.

Some tools predict a 13-week period by averaging weekly spend and multiplying it out. Amplify predicts week by week using the actual flighting, so the prediction for the period is more accurate.

Data scientists use it too

Some will always prefer a notebook, and that's fine. But target-response scenarios, built-in business constraints and results in seconds are useful whoever is driving.

Some will always prefer a notebook, and that’s fine. But target-response scenarios, built-in business constraints and results in seconds are useful whoever is driving.

Two jobs, one tool

Scenario planning vs optimisation

The difference is who decides the spend per channel. In scenario planning, you do. In optimisation, Amplify does.

Scenario planning

"If we spend this, what do we get?"

“If we spend this, what do we get?”

The spend per channel, week by week. A real plan or a hypothetical one.

You set

→

The predicted incremental revenue or conversions.

Amplify returns

Use it to test an idea before committing budget, like pulsing Meta instead of running it flat.

Scenario planning

"If we spend this, what do we get?"

The spend per channel, week by week. A real plan or a hypothetical one.

You set

→

The predicted incremental revenue or conversions.

Amplify returns

Use it to test an idea before committing budget, like pulsing Meta instead of running it flat.

Optimisation

"What's the best way to spend this?"

“What’s the best way to spend this?”

You set

A goal (most revenue for a budget, or least budget for a target) plus any constraints.

→

Amplify returns

The channel mix that gets you there.

It rebalances spend between channels and keeps your flighting pattern as it is.

Optimisation

"What's the best way to spend this?"

You set

A goal (most revenue for a budget, or least budget for a target) plus any constraints.

→

Amplify returns

The channel mix that gets you there.

It rebalances spend between channels and keeps your flighting pattern as it is.

Getting started

Three steps. From model to recommendations in minutes.

Upload your model

Drop in a saved model file, built by your team or by Day1Data.

Choose your spend or scenario

Input the spend you want to optimise or specify the scenario to run.

Run and repeat

Run the scenario or optimisation, change it and run it again in seconds.

Three steps.
From model to recommendations in minutes.

BETA: COMING SOON

An assistant that's read the docs

An assistant that’s read the docs

Ask why your results look the way they do, whether a constraint is costing you, or what a term means. It reads directly from your Amplify results and knows the common MMM packages and documentation.

Why did the optimiser cut YouTube so hard?

YouTube is close to saturation at current spend, so each extra pound returns less than the same pound in Search...

YouTube is close to saturation at current spend, so each extra pound returns less than the same pound in Search…

Can I loosen the TV floor and still hit target?

What's the difference between ROI and mROI again?

What’s the difference between ROI and mROI again?

Bring a model. Or let us build one.

See Amplify running on a real MMM, and the scenarios it would answer for your team.

Book a call →

Every marketing budget what-if answered in seconds.

Every marketing budget what-if answered in seconds.

Every marketing budget what-if answered in seconds.

Every marketing budget what-if answered in seconds.

Your model provides the insights.Amplify turns that into an optimised media plan.

Your model knows how each channel responds. Amplify turns that into a budget.

Plan for the questions you frequently get asked

Plan for the questions you frequently get asked

Better answer. Far less waiting.

Better answer. Far less waiting.

Better answer. Far less waiting.

Flighting-aware predictions

Data scientists use it too

Scenario planning vs optimisation

Scenario planning vs optimisation

Scenario planning vs optimisation

Three steps. From model to recommendations in minutes.

Upload your model

Choose your spend or scenario

Run and repeat

Three steps. From model to recommendations in minutes.

An assistant that's read the docs

An assistant that’s read the docs

An assistant that’s read the docs

Bring a model. Or let us build one.

Bring a model. Or let us build one.

Every marketing budget what-if answered
in seconds.

Every marketing budget what-if answered
in seconds.

Every marketing budget what-if answered
in seconds.

Every marketing budget what-if answered
in seconds.

Your model provides the insights.

Amplify turns that into an optimised media plan.

Your model knows how each channel responds.

Amplify turns that into a budget.

Three steps.
From model to recommendations in minutes.