Robust Web Analytics tool which is easy to use
December 23, 2019
Robust Web Analytics tool which is easy to use

Score 8 out of 10
Vetted Review
Verified User
Software Version
Google Analytics
Overall Satisfaction with Google Analytics
Google Analytics is used to measure engagement and conversion impact of marketing campaigns which involve homepage banner ads, email and social ads. Examples of success metrics which are analyzed include: banner impressions, clicks on banners, sessions, product views, adds to cart, checkouts and cases sold. In summary, Google Analytics is used to correlate ad clicks to cases those clicks drove as well as the customer journey which led to that engagement and transaction. For advanced analysis of who is purchasing the products targeted in the marketing campaigns, I also analyze customers so I can track if they are existing or new and if buying same items which were purchased before the campaign or new items which were not purchased before the campaign. Outside marketing team, Google Analytics is also used by other teams such as Sales, IT And Communications to track metrics at division, rep, error, employee and segment level. So, use is at enterprise level.
Pros
- Google Analytics correlates ad banner clicks to cases of products sold in that session
- Google Analytics helps segment e-commerce product performance by specific skus
Cons
- Google Analytics has a limit of 5000 rows that can be exported in one report. This limits how many total rows I can analyze in one export, so I have to spend more time in exporting additional rows and then combine them into one report.
- Google Analytics has a limit of 1 million rows on cardinality. This limits how many single value unique events can be collect in a report. So, after the limit of 1 million rows is reached, Google Analytics starts sending additional unique event values to 'other' which means analyst doesn't know what that event was.
- Google Analytics insights helped me measure year-over-year lift in marketing campaign driven cases sold so I could determine incremental dollars generated from investment in a specific marketing tactic like email, social or banner ads, by using the product performance enhanced e-commerce report
- Google Analytics insights helped me analyze reduction in errors after improving the checkout experience of customers and reducing the cart abandonment, by using the custom events report
Google Analytics has similar reporting capabilities as Adobe Analytics and Webtrends Analytics. But it stands out when it comes to having higher limits or caps on web server calls or website hits to analyze without charging extra. For advanced analysis, Google Analytics does a better job of integrating with BigQuery so SQL can be used against relational databases to run queries and pull non-clickstream analytics which are correlated to clickstream analytics. Example: Invoice sales correlated to Clickstream conversions. When it comes to tracking qualitative data such as survey responses to measure customer satisfaction or heatmaps and session replays, Hotjar and Foresee tools are rated higher. To track impact of SEO marketing campaigns on driving awareness of a particular brand, category or drive higher conversions of specific items, Conductor Searchlight does a better job because it also compares results of our SEO campaigns to industry trends and benchmarks.
Do you think Google Analytics delivers good value for the price?
Yes
Are you happy with Google Analytics's feature set?
Yes
Did Google Analytics live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Google Analytics go as expected?
Yes
Would you buy Google Analytics again?
Yes

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