Get answers in seconds with Proof Automated Marketing Mix Modeling
Proof has automated the algorithms used to optimize the Go-to-Market Mix, making Marketing Mix Modeling (MMM) way faster, more available and scalable for all enterprises. Now you can use MMM for all product categories and all markets.
How to get started
A highly skilled success manager will support you to get up to speed using Proof Automated MMM. After six months you decide if you want to run Proof as a pure SaaS, or if you want to continue using Proof Analytics as a managed service.
We help you to make sure that you have access to the financial data and spend data that you need and how it's categorized.
We look at volymetric data like site visits, signups, time on page, bounce rate, open emails, event actions (forms) etc. This can also be done directly in step one.
When the contract is signed, you will be assigned a success manager that will make sure that you get the desired results with Proof Analytics.
Together, we’ll set the business value framework, identify goals and KPIs, and plan for how to find and categorize the data needed.
You can upload data in Excel and CSV formats using our template (APIs are available on request). After uploading data, you will have your first analysis in seconds.
First report to c-level
We will have a work meeting where we go through the first analysis and insights together and create the first report to your management.
Dashboards and recommendations
Together we build dashboards and set a plan based on recommendations on how to continue to use Proof.
We train and educate key people in your organisation or/and key people in your agency if needed. Our goal is that you are able to use Proof as a pure SaaS.
We assist you with weekly or monthly reports to C-level, to make sure the insights from Proof Analytics is an integrated part of your reporting.
An easy to use platform that helps you optimize your marketing
Proof's Automated MMM is based on the same algorithms used by data scientists around the world - now automated, faster and accessible for everyone. Click to explore some of the main features.
TIME TO IMPACT
How long will it take until my marketing activity affects sales?
Time lag, or the time to impact, tells you how long it will take before a change in a marketing activity affects the dependent variable (often the sales number). Take ad spend for a sales campaign, for instance. How long will it take before this investment actually has an impact on sales? If we run the campaign in March, will we see the effect in March? Or will we see the effect in April, May or even later? A top CMO put it another way: “Today’s deals are last year’s leads.” That’s time lag
Has the activity reached its maximum potential or should I increase the spend?
S-curves are used to identify non-linear relationships. An s-curve might show, for example, when a marketing activity needs to be above a certain threshold to have an effect on the dependent variable (such as sales, profit or revenue etc.). Or indicate how much you could spend on an activity until its effect on the dependent variable flattens out, i.e., when that activity has reached its maximum potential (the point of diminishing returns).
How much more do I get “out” if I put 1 USD more “in”?
Multiplier, or slope, describes the rate of return or elasticity between two variables, such as ad spend and sales. A high slope means you get more out for every dollar put into that channel. For instance, a slope of seven means one dollar in, seven dollars out as increased revenue.
To be able to calculate the slope is a great help in optimizing your go-to-market mix.
BI-ANUALLY BUDGET OPTIMIZATION
Optimize your budget every six months
With the help of regression analytics we help you answer questions like: Given an allocated amount of money for the next year or half year; how should it best be spent to maximize revenue and/or profit? What forecasted revenue and profit does the suggested mix indicate? How should money be spent if you get a budget increase?
For how long does our previous marketing efforts affect sales?
Adstock is a model of how response to marketing programs decays over time, effectively exposing the entire life cycle of the marketing investment being analyzed. A strong brand campaign can have an impact on sales for a long time before diminishing and eventually ceasing to be relevant. Adstock analysis enables you to see how a campaign's impact in previous time periods accrues to your benefit today.
How much does the campaign for product A affect the sales of product B?
Many marketing activities add a halo effect to the larger market perception of a company or product.
For example, a branding campaign will affect other lead generation campaigns and vice versa. These halo effects can be positive or negative. They can be immediate or delayed. But they almost always persist over some period of time. The right analytics help you understand to what extent these activities amplify or suppress one another over time. This concept is also known as the “spillover effect”.
Proof has about the same level of data protection as NASA
As a multi-tenant, cloud-resident application, Proof is designed, by default, to keep all of the resources owned by an account private, separate, and distinct from all other Proof users in all other accounts.
This strict separation has been designed into the platform from the ground up. Unless explicit action is taken by the owner of an account or resource, no other Proof user may see or access any aspect of any other account or resource.
RIGHTS & ROLES MANAGEMENT
Collaborate and share specific resources and dashboards with others
Proof is an ultra-secure data federation hub that works across an organization and between companies, too, enabling full-on data sharing without losing control or ownership of your data.
Proof provides a rich collection of methods for controlled sharing of and collaboration on Proof resources. A top analyst at Forrester called it, “one of the most elegant and powerful data-sharing solutions anywhere.” We think you’ll like it too.