Turn big data into learning and recommendations

Stop the bulk analyses and prepping reports. Have continuous, up-to-date results at your disposal 24/7 to learn from the past and predict future success.

With Sellforte, you'll get access to thousands of models running simultaneously to gain clear learnings through the noise.
1. Big data inputs
2. Running the modeling
3. Continuous insights
& recommendations

How does it work step by step

1. Big data inputs
Setting up data pipelines
Commercial data
Media data

Receipt line sales and margin data from customer's data warehouse

Offline media investments (TV, print,...)
Online media investments (Google, Facebook,..)
Own media activities (emails, sms, competitions,..)
Secondary data sources
Business KPIs (traffic, NPS,..)
Weather data
Competitor activities (pricing, campaigns, media investments,..)
Finding the relevant secondary datasets
Applying business priors

Based on business and media expertise
Evaluating the results’ accuracy & reliability
By dividing the datasets to practice and test data, the model tests and improves on continuous basis.
Any anomalies will be flagged and checked by Sellforte Data Scientist.
2. Running the modeling
Finetuning the models for each client by:
3. Continuous insights
& recommendations
Providing sustainable business impact by:
Updating the results continuously
Usually on monthly or quarterly basis
Providing actionable recommendations

How to maximize the profitability through marketing
Evaluating the results’ accuracy & reliability
To provide new features, based on what would maximize the business impact Sellforte can deliver for its clients

Establishing the link between data & decisions

There's a plentiful of different tools, apps and services to collect and store valuable data, yet this data needs to be analyzed and visualized in understandable & actionable fashion.

Sellforte Provides the missing link in the marketing data ecosystem by empowering your marketing department/agency with our intuitive User Interface.

The power of Hierarchical modeling

Imagine trying to measure your Marketing ROI with a few models, while there's multiple media channels and campaign items at play.

Moreover, the media mix and campaign items include some variation over time, and you have aggregated data at your disposal. It's a nightmare trying to get even credible results, let alone accurate insights on granular level.

Now imagine an AI running thousands of models simultaneously, constantly tapping into individual uplifts, cross-media impacts, sales cannibalization and other crucial factors affecting the Marketing ROI.

Hierarchical modeling enables unparalleled granularity with product- and media-level results. Additionally, the high-level results are also far more accurate and reliable due to bottom-up approach (which is practically the only way to get reliable results).

Legacy models

Use total sales in the model

Sellforte Models

Hierarchy of models leveraging the lowest possible granularity (e.g. channel and product group combos)

Legacy models

All media is included as a single variable explaining total sales

Sellforte Models

Media variables are connected to specific brands, categories or channels where feasible

FAQ: How it works?

How is data science used in marketing?

To put it shortly, it’s all about approaching marketing through the scientific method and using it to solve challenges in marketing. First you develop a hypothesis based on your observations and maybe intuition, let’s say it’s “TV is the best marketing channel to advertise Chocolate bars”.

Then you gather data, sales and marketing data in this case, analyze the data, develop a model of the reality, and test your hypothesis. In the end you will learn something. You can then develop a new hypothesis and continue the cycle. The key idea is to experiment, learn new things, and build on your learnings.

Read more about this from our blog: What is Marketing Science?

How AI can be used in marketing?

With the ever-growing piles of data, marketing science relies more and more on different AI and machine learning methods from Bayesian networks to random forests.

Even with all the data and numbers, it’s still important to keep the business aspects in mind: The best model is the one which best helps improve your bottom line results.

How much data is enough?

There are no absolute requirements, as data quality is often more essential, but sales and marketing data from past 2-3 years usually does the trick.

The more data you have the better, but the data quality needs to also stay consistent for the models to able to compare and analyze different time periods.

As data quality is in key role, we at Sellforte are committed to lend a helping hand along the way. Client's data can be reviewed during discussions by Sellforte data scientist after a NDA is signed, which will provide answers to all questions regarding sales and marketing data quality.

Read more about this from our blog: What data do I need for Marketing Mix Modeling?

What is Bayesian inference and why should marketers care about it?

Bayesian inference is a statistical technique rapidly growing in popularity among marketers.

The Bayesian approach is popular due to a handful of reasons. First, it allows inputting prior knowledge into your models in the form of informative priors. This makes it easy to leverage any past analyses and business intuition in your model and allows you to reach rapidly reach credibly.

Second, it allows building hierarchical models which in turn allows very granular models without breaking their consistency. Instead of analyzing your weekly total sales, you can see what’s going on exactly at each specific date, product group, brand, and location.

How Sellforte differs from other service providers?

Our solution differs from other services by a combination of features:

- Continuous updates
- Objectivity
- Granularity of the insights
- Measuring both offline and online marketing activities with common metrics
- Attributing sales and margin uplifts to media and promotion respectively

Certain options may include some of these features, but only Sellforte’s solution ticks all the boxes.

What continuous updates mean in practice?

One of the biggest drawbacks in one-off modeling projects is their discontinuity.

By automating most steps in the modeling process, Sellforte AI:

- Provides always up-to-date information to support the daily decision making
- Learns and improves with each update
- Recommends actions that would drive even more business impact
- Tracks the realized business impact of these recommendations 

Does it require constant work from the client side?

After setting up the data pipelines and automating the data pulls, the process requires minimal work from the client. The onboarding has been designed to ensure as smooth and effortless use of the software as possible after the handover.

In case you have a media agency, the continuous updates don’t require any work from your side.

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Lorem ipsum dolor sit amet, consectetur adipisicing elit. Nemo a, itaque esse ab veniam, autem ratione necessitatibus voluptatum optio libero dicta consequatur fugiat rerum, suscipit non illo perspiciatis aut. Explicabo.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Nemo a, itaque esse ab veniam, autem ratione necessitatibus voluptatum optio libero dicta consequatur fugiat rerum, suscipit non illo perspiciatis aut. Explicabo.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Nemo a, itaque esse ab veniam, autem ratione necessitatibus voluptatum optio libero dicta consequatur fugiat rerum, suscipit non illo perspiciatis aut. Explicabo.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Nemo a, itaque esse ab veniam, autem ratione necessitatibus voluptatum optio libero dicta consequatur fugiat rerum, suscipit non illo perspiciatis aut. Explicabo.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Nemo a, itaque esse ab veniam, autem ratione necessitatibus voluptatum optio libero dicta consequatur fugiat rerum, suscipit non illo perspiciatis aut. Explicabo.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Nemo a, itaque esse ab veniam, autem ratione necessitatibus voluptatum optio libero dicta consequatur fugiat rerum, suscipit non illo perspiciatis aut. Explicabo.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Nemo a, itaque esse ab veniam, autem ratione necessitatibus voluptatum optio libero dicta consequatur fugiat rerum, suscipit non illo perspiciatis aut. Explicabo.