MassTer Predictive Marketing Analytics
Wie gebruikt deze software?
Advertisers Analytics Agencies Media Agencies
Gemiddelde scores11 beoordelingen
- In totaal 4.5 / 5
- Gebruiksgemak 4 / 5
- Klantenservice 5 / 5
- Functies 4.5 / 5
- Waar voor je geld 4.5 / 5
- Beginprijs US$ 10,00
- Prijsinformatie Depends on the Package
- Gratis versie Nee
- Gratis proefversie Ja
Geïnstalleerd - Mac
Geïnstalleerd - Windows
Over MassTer Predictive Marketing Analytics
"MassTer" is an advanced modelling & predictive platform that provides a one-stop solution for running marketing effectiveness projects. MassTer helps you understand your key sales drivers, measure your Return on Investment (ROI) and show you the optimal way to spend your marketing budget to achieve maximum performance. It comes with 8 built-in modules that help you perform marketing mix modelling, ROI calculation, budget optimisation & predictive analytics.
Functies van MassTer Predictive Marketing Analytics
- Campaign tracking
- Customer journey mapping
- Meetwaarden voor sociale media
- Predictieve analyse
- ROI bijhouden
De nuttigste reviews van MassTer Predictive Marketing Analytics
Beoordeeld op 5-10-2018
Great Features: it takes a while to unlock the full potential
Opmerkingen: The first Modelling Software specifically developed with MMM in mind. It stands head and shoulders above the crowd. User-friendly but with a depth of features and a great support team. A premium product with a consistent price tag. Buy if: you want to bring your analytics capabilities to the next level, or punching above your weight.
I would say there are many layers in MassTer. The top ones are easy to use/user-friendly/straightforward: creating new variables, running models, testing variables outside of the model, extract data, diagnostics, quantify.
From day one you will see an efficiency gain from using MassTer (it's faster and you can pick more media channels).
But there are other features that are even more powerful and it takes a while to master. Pool models, Log-Linear models (with their different setting options), and optimization. This is not to say that are hidden or cumbersome. But rather are sophisticated in nature and, despite MassTer is doing a great deal of work to make them accessible to you, you still need to make conscious decisions.
In other words, MassTer makes you more efficient, but a skilled analyst still will extract more value from the tool. The sales team and the support team are top notches. They are available, quick to respond, and they really know your job and the challenges you are facing every day (data, models, insights, client relationship, costs, business opportunities etc.). They are young and talented and they speak excellent English. The software is evolving every day and what you get is not something off the shelf. It's being tailored around your business.
You need to pay attention to the file size (aka: the number of variables you create): over 30k it slows down performance.
You need to save often both the model and the workfile.
The ambition is to have a 1 stop shop for analytics. We might get there but, unless you really know the tool, you would still need to do some excel work on the back of it (a lot less than what you think).
Beoordeeld op 26-10-2018
A good product for beginners in MMM
Only MMM can be solved with MassTer.
I am very happy with the customer support the way our trainer Meher explained things and helped us understanding the software is really something highly appreciable.
Pluspunten: MassTer has lots of inbuilt features, like grouping of variables for regions and categories which makes it easy to play around and also it does not require to start from the scratch while inclusion or exclusion of updated data. Comparison between models and chart comparisons are easy to do and easy to interpret. Creating dummy/window/calendar variables are really easy and can be done quickly. Media Spend Optimisation is one of the good features of Masster.
I did not find it user friendly.
The tricks to append new data/doing session wise modelling are a bit complex. It does not provide optimisation while we don't have Decay or Diminishing return variables while it can happen in real life examples. It does not provide correlation matrix for more than around 400 variables which is very small in a MMM Project. We can not export all the charts at one go. Setting coefficient value to some fixed number might be useful in some tricky situation but that positive or negative effect of it is transversed to other variables which might not be a real life scenario. We cannot do any variable transformation or feature engineering in MassTer.