A presentation that covers improvement recommendations when you experience discrepancies among your Shopify, Google Analytics, and CMP reports. A created presentation can serve as a basis for your own data story using a PICA protocol, a purpose-insights-context-aesthetics method for assessing data.
2. Context
We started to build up our e-commerce business
back in January.
We saw positive steady results in
transactions/revenue in Jan-March acc. to Shopify.
Whathappened?
Though we continued to see high numbers for April in
Shopify, we saw a big drop in transactions/revenue in
Google Analytics.
47
conversions
in GA
VS
90
transactions
in Shopify
4. Compare
Theactualreason
Since we use GA and other measurement tools to track
user behaviour on our website, we have to comply with
GDPR and TTDSG. This includes giving website visitors
an easy option to reject tracking.
In early April, following an audit by the DPO, the
consent banner was adjusted to comply with legal
regulations and it now offers an easier way to reject
tracking than before resulting in higher opt-out rates.
109
rejections in
March
VS
138
rejections in
Jan
788
rejections in
April
VS
leading to incomplete data being collected.
Acc. to the data from CMP Report:
5. Whattoexpecttoshowin
thenextreport?
{
Positive pattern of continue
growth month by month
Considering the data provided, we cannot
conclude if it will be similar, more data
needed.
Recommendations
Alternative data sources
Engagement metrics
Data segmentation
Automated report
Consider the data collection methods and any
recent changes
Data visualization tools
Perform data reconciliation
Conduct regular data quality checks
Spot Abnormalities
