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https://github.com/valenthr/ad_campaigns

Analysis of marketing campaigns
https://github.com/valenthr/ad_campaigns

advertising-campaigns sql

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Analysis of marketing campaigns

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# Analysis of marketing campaigns

## Data

There are 4 tables:
1. google_ads_basic_daily:
ad_date - the date of the launch of the advertising in google;
campaign_name - name of advertisement campaign in google;
adset_name - name of google advertising;
spend - advertising cost;
impressions - number of ad impressions;
reach - ad reach (how many unique people viewed the ad);
clicks - the number of visits to the advertiser's site after the advertisement;
leads - the number of potential customers who provided their contact information;
value - ad revenue;
url_parameters - values ​​of the measured parameters from the url address.
2. facebook_ads_basic_daily:
ad_date - the date of the launch of the advertising in facebook;
campaign_id - id of facebook advertisement campaign;
adset_id - id of advertising in facebook;
spend - asvertising cost;
impressions - number of ad impressions;
reach - ad reach (how many unique people viewed the ad);
clicks - the number of visits to the advertiser's site after the advertisement;
leads - the number of potential customers who provided their contact information;
value - ad revenue;
url_parameters - values ​​of the measured parameters from the url address.
3. facebook_campaign:
campaign_id - id of advertisement campaign in facebook;
campaign_name - name of advertisement campaign in facebook.
4. facebook_adset:
adset_name - name of advertising in facebook;
adset_id - id of facebook advertising.

## Tools

SQL, Looker studio.

## Goals

The main goal is to boost advertising strategies and optimize marketing efforts.

## What metrics were observed

For each ad campaign was calculated: spends, impressions, clicks, income, CPM, ROMI, CTR and CPC. Preparation query are in the "Script-advertising_1", results are [there](https://lookerstudio.google.com/reporting/7626cbef-f329-447e-a435-60cc7ace02ce).

## Source and utm campaigns comparison

For each source (google and facebook) was calculated the same metrics as for campaigns, query are in the "Script_source_comparison".
For each utm campaign was calculated the same metrics and were compared with results in previous month. Query are in "Script-advertising_2". Also was calculated a rating of each campaign by month based on metric values (in "Script-advertising_3").