Get the Most of Your Data

Marketing
Reporting
& Analytics

About Mi. Marketing Reporting + Analytics Tool

All Results of Your Marketing Efforts in One Place

We provide an end-to-end solution for reporting needs of marketing executives and specialists – covering the whole process from data integration and cleaning to customized dashboards covering:

Channel Results

Channel and campaign performance incl. Data-Driven Attribution, Media Mix Modelling

Product Performance

Slice data by product brands, categories or individual SKUs

Customer Analytics

Customer lifetime value models, cohort analysis, segmentation

Why Choose Mi.Reporting & Analytics

Do you want to know more? Get in touch with Mi team

Examples of Reports Visualisation

Tailored Vizualizations to Meet Your Needs

Cover all your data and reporting needs in marketing

Example Use Cases

Model Scenarios

Easily model scenarios “what would happen if I made change X to my marketing plan”

Customer Lifetime Value

Understand future lifetime value of your customers

Predict Customer Behavior

Predict customer churn, propensity to buy and act on these information

See P&L on SKU Level

Understand full profit & loss on SKU, brand or product line granularity

Identify High Value Audiences

Identify top-value customers and see what is important to them

Measure Incremental Impact

Understand the incremental business impact of TV, Youtube, TikTok, Snapchat or influencer marketing

Boost Promotion of Profitable Products

See what the most profitable products, categories, brands are and boost their promotion in Facebook and Google

Improve Overall ROI

Find optimal allocation of marketing budget across channels and improve your total marketing ROI

Identify Budget Risks

Quickly identify areas that are at rick of not fulfilling the budgeted numbers

Optimize Online Marketing

Optimize online marketing using advanced data signals about products and customers - activate to Facebook, Google, your emailing tool or other advertising platforms

Over 200 Marketing And Other Data Sources

Data Connectors Examples

..and more

How much does it cost

Choose the Right Pricing Plan that Suits Your Needs

Starter

Growth

Standard

Premium

169 $
monthly

299 $
monthly

Ask for a quote

Ask for a quote

Marketing data integration from 200+ sources

Data aggregation Google Ads, FB, IG and 200+ more sources

Backend / ERP / E-commerce platform sales data integration

GA4 integration

Marketing and Sales budgets + plans

Offline marketing costs

Export to Google BigQuery, MS Azure, AWS, Snowflake

Offline media metrics (TV, radio, OOH...)

Offline / retail sales channels

SEO data

Google Trends data

Custom data integrations

Custom dimensions

Campaign level data

Ad-groups and creatives level data

Reporting

Default pre-built reports (Google Data Studio, PowerBI, Tableau)

Customized reports

2

5

10

Profit calculations

Custom calculated metrics

5

10

Product analytics

Product-level P&L funnel

Cost allocation to products/SKUs

Custom cost allocation rules available

Customer analytics

RFM segmentation

Cohorts analysis

Customer acquisition cost by channel

Predictive customer lifetime value model

Custom segmentation + customer profiling

Attribution modelling

Data driven attribution (GA4-based)

Custom data driven attribution model

Marketing mix model + Budget optimizer

ML-based marketing mix model

Marketing budget optimizer

TV ROI measurement

Youtube ROI measurement

OOH ROI measurement

TikTok ROI measurement

Forecasting

Forecast of traffic, sales, costs, profits, cashflow

Custom forecasting / predictive models (2x)

Service and support

Onboarding video tutorials

Documentation

Onboarding workshop

Dedicated Customer success manager

Starter

169 $ / month

  • Data aggregation Google Ads, FB, IG and 200+ more sources
  • Backend / ERP / E-commerce platform sales data integration
  • GA4 integration
  • Marketing and Sales budgets + plans
  • Offline marketing costs
  • Export to Google BigQuery, MS Azure, AWS, Snowflake
  • Default pre-built reports (Google Data Studio, PowerBI, Tableau)
  • Profit calculations
  • Data driven attribution (GA4-based)
  • Onboarding video tutorials
  • Documentation

Growth

299 $ / month

  • Data aggregation Google Ads, FB, IG and 200+ more sources
  • Backend / ERP / E-commerce platform sales data integration
  • GA4 integration
  • Marketing and Sales budgets + plans
  • Offline marketing costs
  • Export to Google BigQuery, MS Azure, AWS, Snowflake
  • Offline media metrics (TV, radio, OOH…)
  • SEO data
  • Google Trends data
  • Default pre-built reports (Google Data Studio, PowerBI, Tableau)
  • Customized reports x 2
  • Profit calculations
  • Product-level P&L funnel
  • Cost allocation to products/SKUs
  • RFM segmentation
  • Cohorts analysis
  • Customer acquisition cost by channel
  • Data driven attribution (GA4-based)
  • Onboarding video tutorials
  • Documentation
  • Onboarding workshop

Standard

  • Data aggregation Google Ads, FB, IG and 200+ more sources
  • Backend / ERP / E-commerce platform sales data integration
  • GA4 integration
  • Marketing and Sales budgets + plans
  • Offline marketing costs
  • Export to Google BigQuery, MS Azure, AWS, Snowflake
  • Offline media metrics (TV, radio, OOH…)
  • SEO data
  • Google Trends data
  • Offline / retail sales channels
  • Custom dimensions
  • Campaign level data
  • Default pre-built reports (Google Data Studio, PowerBI, Tableau)
  • Customized reports x 5
  • Profit calculations
  • Custom calculated metrics x 5
  • Product-level P&L funnel
  • Cost allocation to products/SKUs
  • Custom cost allocation rules available
  • RFM segmentation
  • Cohorts analysis
  • Customer acquisition cost by channel
  • Predictive customer lifetime value model
  • Custom segmentation + customer profiling
  • Data driven attribution (GA4-based)
  • Onboarding video tutorials
  • Documentation
  • Onboarding workshop
  • Dedicated Customer success manager

Premium

  • Data aggregation Google Ads, FB, IG and 200+ more sources
  • Backend / ERP / E-commerce platform sales data integration
  • GA4 integration
  • Marketing and Sales budgets + plans
  • Offline marketing costs
  • Export to Google BigQuery, MS Azure, AWS, Snowflake
  • Offline media metrics (TV, radio, OOH…)
  • SEO data
  • Google Trends data
  • Offline / retail sales channels
  • Custom dimensions
  • Campaign level data
  • Custom data integrations
  • Ad-groups and creatives level data
  • Default pre-built reports (Google Data Studio, PowerBI, Tableau)
  • Customized reports x 10
  • Profit calculations
  • Custom calculated metrics x 10
  • Product-level P&L funnel
  • Cost allocation to products/SKUs
  • Custom cost allocation rules available
  • RFM segmentation
  • Cohorts analysis
  • Customer acquisition cost by channel
  • Predictive customer lifetime value model
  • Data driven attribution (GA4-based)
  • Custom data driven attribution model
  • ML-based marketing mix model
  • Marketing budget optimizer
  • TV ROI measurement
  • Youtube ROI measurement
  • OOH ROI measurement
  • TikTok ROI measurement
  • Forecast of traffic, sales, costs, profits, cashflow
  • Custom forecasting / predictive models (2x)
  • Onboarding video tutorials
  • Documentation
  • Onboarding workshop
  • Dedicated Customer success manager

Let us Help You Create Reports Tailored to Your Business Needs
Get in Touch with Our Mi Team Today.

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STARTER

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GROWTH

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STANDARD

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PREMIUM

Coming Soon

Predictive analytics in GA4

One of the new and exciting features of GA4 is called “predictive metrics” – with these you can learn about your customers and their shopping behavior. These are added automatically to your data and are based on Google’s machine learning expertise.

GA4 currently includes the following predictive metrics:

  • Purchase probability: The probability that a user who was active in the last 28 days will log a specific conversion event within the next 7 days.
  • Churn probability: The probability that a user who was active on your app or site within the last 7 days will not be active within the next 7 days.
  • Predicted revenue: The revenue expected from all purchase conversions within the next 28 days from a user who was active in the last 28 days.

You can create audiences based on these values and leverage them in your advertising campaigns – for example, you could exclude users who have a high purchase probability as you may assume that these users will buy anyways and you don’t have to spend additional marketing dollars on them (test it) or try to win back an audience with higher churn probability with a special campaign or communication.

Data export to BigQuery

Google BigQuery is a cost-effective and highly-scalable cloud data warehouse optimized for high performance on very large data sets. With GA4 you can export all your event-level data to BigQuery for additional analytics or data science initiatives.

Example use cases might be

  • Joining GA4 data with other sources in your company – CRM, customer data, backend sales, and margin data.
  • Using GA4 data for advanced customer analytics for a better understanding of customer lifetime value or churn prediction.
  • Automate reporting in your BI tool.
  • Move the data to your on-premise or cloud data lake and data warehouse.

Example use cases might be

  • Joining GA4 data with other sources in your company – CRM, customer data, backend sales, and margin data.
  • Using GA4 data for advanced customer analytics for a better understanding of customer lifetime value or churn prediction.
  • Automate reporting in your BI tool.
  • Move the data to your on-premise or cloud data lake and data warehouse.

You will need to have a Google Cloud account set up and maintained for this purpose. That is why we are here and can solve all the infrastructure for you and with you!

Free data driven attribution in GA4

Since 1/2022 GA4 has made a data-driven attribution model available to all users – unlike in Universal Analytics where the DDA model was only available to GA360 customers.

DDA is an algorithmic attribution model that quantifies the value of each touchpoint in the user journey (such as campaign click) and it does so by smart modelling behind the scenes without human bias that is always present in rule-based models.

The DDA model in GA4 is also better than the one on GA360 as it takes into account up to 50 touchpoints in the user journey vs. the GA360 only took 4 touchpoints.

It is also possible to set the default attribution model to DDA (or another model) from the old Last Non-Direct Click. And then all your reports and data exported to BigQuery will use the newly selected model as default.

DDA in Google Analytics 4 excludes almost all direct visits from receiving credit – you may or may not like that, but as it’s been always the case with attribution we recommend validating any model using marketing experiments.

World without Cookies and GA4

GA4 is built for a world where more and more users opt out of cookie consent and other methods for data collection.

Google uses machine learning modeling to fill in the data gaps – some of these are already in the current GA4 others will be deployed in the future.

For example, modelling conversions allows GA4 to properly attribute conversions without user identification – this is crucial for optimized advertising campaigns and automated bidding. This covers situations such as some browsers limiting the time window for first-party cookies, conversions for unconsented users, Apple’s App Tracking Transparency (ATT) impacts, cross-device user behaviour, and others.