PRODUCTS
Marketing Cost Optimization
Customer Client Base
Semantic Analysis

FACTOR ANALYSIS

Data Science technologies can determine the extent to which external and internal factors affect business performance
By investigating price and non-price factors, the tool makes it possible to assess the level of their impact on sales. Determine the effectiveness of marketing campaigns. The data makes it possible to make fast decisions at the stage of ad campaign planning and budgeting
Boost ad campaign planning
Budget optimization
Customers response assessment
Real-time decision-making
We research competitors, the impact of marketing activities and other factors
We assess the effect of each factor for further recommendations
We consider the best timing for the ad campaigns and other activities
Power BI visualization for rapid decision-making
TECHNOLOGIES
DATA PROCESSING USING PYTHON AND MACHINE LEARNING TECHNIQUES
DETERMINING CORRELATIONS BETWEEN FACTORS AND SALES USING DATA SCIENCE METHODOLOGIES.
THE USAGE OF MMM & MTA TECHNOLOGY
SPECIFICATION
WHAT DATA
WE NEED TO WORK
  • Data from markets software from holding and clients
  • Brand / product sales information + category data where possible (competitor sales)
WHAT INFORMATION
DOES THE CLIENT RECEIVE
  • Which channels influence the level of sales to a greater or lesser extent
  • Which channel to choose in the current / specific period
  • How to distribute weights between channels and periods
  • Recommendations for cost optimization
PRICING
35$/ per hour
  • Factor analysis of various historical periods (day/week/month/year) and activities
  • Record to a database, or in a file
  • Power BI / PDF / Excel report

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