Sencia Analytics

H3M
Marketing Mix Modeling & Optimizer

Media attribution and optimization platform.

Sencia helps its customers grow by improving their internal processes and increasing their brand impact.

Personalized solutions using computational mathematics, advanced statistics and AI techniques. We give life to data and make it key elements in the company’s decision making process.

The challenges of CMOs are many…

Growth

Hit the target at the right times and places and convert customers at every stage of the funnel. Increase LTV.

Otimization

Adapt to the world without Cookies and assign results correctly. Allocate budget more efficiently to optimize ROI and lower CPA. Maximize marketing impact and show growth effectiveness.

Sustainability

Keep sales in the short term and the brand in the long term. Generate today’s demand and tomorrow’s demand.

Why Is It Important to Correctly Measure Marketing ROI?

To be effective in both the short and long term.

Dynamic attribution platform to measure marketing effectiveness on sales and contribution to brands.

Marketing MIX

Investment x Contribution

Decomposition analysis to estimate the incremental contribution of marketing levers.

We calculate the impact of the brand on the business results and how it is built by the media

Efficiency curves

H3M - Media investment optimization platform

Realized: Investment history stored continuously on the H3M platform.

Model results: Incremental contribution of touchpoints to sales and media ROI.

Simulator and Optimizer: Predictive analytics and optimal investment allocation

What data sources can help the company make and forecast sales?

Time series variables are the input of the «direct impact on sales»

Data collect

Sencia provides consultancy in the data collection process, guiding the BI and Marketing teams in mapping, extraction and organization of information for current projects and future analyses.

to sort and document all marketing requirements and challenges (e.g. increase sales / increase conversion)

to identify the necessary metrics for modeling in line with the established challenges.

recommending practices for extracting and storing marketing data (especially media) that meet current needs and future statistical analysis.

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