Each service is focused on the different levels of maturation of each company:
Nascent + Emercing      Emercing + Connected     Connected + Multi-moment

Omni-Channel Measurement Strategy

Collect all the data from the client in one place, in order to create a strategy that covers different touch points (that could be on or offline

Data Driven Attribution

Analyze data in order to give credit for conversions based on how people search for the business and decide to ecome a customer.We use data from the client account to determine which ads, keywords, and campaigns have the greatest impact on business goals

Audience Strategy

Based on data, we analyze the segmentation strategy for audiences, messages, channels and metrics that we will use to increase client business results
Using the data to segment consumers by demographics or interests in order to optimize your marketing efforts (impact the right person on the right device at the right moment).

  • Audience Strategy
  • Audience Segmentation & Analysis
    Using the data to segment consumers by demographics or interests in order to optimize your marketing efforts (impact the right person on the right device at the right moment).
  • Customer Segmentation (C4M)
    We analyze behavioral characteristics of the different audiences. For the selected data we make an initial evaluation of its characteristics and statistical behavior. Then we do an exploration of the data with the main objective of characterizing the behavior of the data. Based on the results of the exploration we define and propose the possibilities that exist for the approach to modeling. Additional steps are usually defined and executed in the data cleaning, as a result of this step.
  • Data Driven Segmentation (C4M)
    We analyze the behavior of the audience from different points of contact, in an omnichannel perspective.

Dashboarding

Reporting Framework Development

Create dashboards that provides key information about business goals and trends in the industry.

Self Service Analytics (C4M) 
We build advanced dashboards that feed from different data sources, with on and offline data that allow client to better take a desitions of business.

Predictive & Advanced Analytics Modeling

Using a number of data mining, predictive modeling and analytical techniques to bring together the management, information technology, and modeling business process to make predictions about future. Analyze patterns found in historical and transactional data to identify risks and opportunities for future.

  • Audience Scoring
  • Purchase Prediction (C4M)
  • Sentiment Monitoring (C4M)
  • Churn Prediction (C4M)
  • LTV Scoring/ LifeTime Value Prediction (C4M)
  • Product Correlation/Recommendation Engine