Marketing Data Analytics

Consolidating data

• Generating reports across multiple advertising channels simultaneously.
• Integrating data from GA4 with data from advertising channels.
• Merging advertising channel data (costs) with conversion data from e-commerce, CRM, and payment systems (revenue). Build ROAS.
• Build custom attribution models
• Automating report creation with scheduled notifications to the team.
• Analyzing keyword data.

Use AI to build complex adhoc reports in seconds

Using the AI significantly accelerates the processing of large volumes of marketing data.

Here are some examples of queries you can make to AI:

1. Show days when Fact CPA and Goal CPA gap more than 15%. Show date, campaign, and the gap.

2. Identify campaigns with bad performance. For every campaign find days when it runs. For every day show Conversions. Show days as columns and campaigns as rows. Show rows where cells in the dataset is zero at least 3 columns in a row.

3. Find pattern in Page URLs and show me patterns that saw the most decline in impression and clicks. I need a pattern only one level deeper than /content/. Ignore subsequent patterns in urls. For every pattern show the pattern, decline in Impressions, decline in Clicks. Sort by Impressions decline.

4. Create a dashboard. create a row for the "Impressions" metric. first column is for the most recent week. the second column is for the earlier week. 3rd column is comparison of the 1st and second columns. add a row for the "Clicks" metric. first column is for the most recent week. the second column is for the earlier week. 3rd column is comparison of the 1st and second columns.