Bath Ecoshop is an online home goods retailer specializing in eco-friendly bath products. 

They needed a new online store for their products after having identified an opportunity to market eco-friendly bath products.

That was when I made my entrance.

-I began by performing a competitive analysis of 3 other stores proposing the same products

-I clarified the brand values for Bath Ecoshop

-I created a new Shopify account for Bath Ecoshop and created an online store

-I uploaded their first product listing details

Selar is an e-commerce store builder that allows African creators to sell their content, digital products, and services to anyone worldwide. 

This store was created to provide students with productivity tools. 

To get this project to fruition,

-I performed a competitive analysis of various Etsy stores in the same niche

-I created a new Selar account

-Created product groups and categories

-I created the product listings

-I designed the product creative in Canva

-I integrated Mailchimp into the store to collect emails for email lists

Every month, we review our Google merchandise store's metrics in Google Analytics.

It was my turn to perform this task.

I was given a list of metrics to review and record for a future report.

In Google Analytics, I selected the store's property and recorded the requested data and metrics. 

-I identified and recorded the total number of users and the number of new users. I calculated the percentage of new users by search engine.

-I identified and recorded the total number of users for each event outlined, and calculated the amount of cart abandonment and the conversion rate. 

-I identified and recorded the total revenue and the number of first-time purchases. Then I recorded the top 3 selling products and the number of purchases. 

Do active users and purchases in our Google merchant store increase when developer events occur? was the question I was asked.

I had to dive into Google Analytics to find the answer.

I selected 3 developer events and created a free form exploration in our stores' Google Analytics property to visualize the metrics during and in the days before and after the events. 

-I selected a date range of 7 days before the first event date and 7 days after the last event date. 

-I used a line chart to detect spikes around the event dates and examined them for anomalies in website visits. 

-I used a line chart to detect spikes around the event dates and examined them for anomalies in purchases. 

-I recorded my observations and wrote my insights and suggestions for future events. 

Acier is an online cookware retailer.

After launching a multi-channel Ad campaign, they were pleased with the amount of traffic generated but found the number of accounts created insufficient.

Their quarterly marketing goal was to maximize the number of accounts created.

In light of this, they decided to launch a new Ad campaign to promote the creation of new accounts. Based on their performance data, I determined the optimal time to run these Ads.

Now, they needed me to identify broader trends within their dataset for a given set of KPIs over one week. 

Using pivot tables, I analyzed the data and created a written report to summarize my findings.

-I analyzed their session data per hour of the day over the week and used conditional formatting to highlight the highest values 

-I analyzed the total amount of conversion per hour of the day for each day of the week and used conditional formatting to highlight the data 

-I analyzed the average conversion rate per hour of the day for each day of the week and used conditional formatting to highlight high values 

After having analyzed Aciers' campaign data, they requested that I report my findings in the form of a presentation.

Using the provided data, I created data visualisation charts for

-The session's data

-Total conversion by hour of the day

-Average conversion rate per day of the week

-Average conversion rate by hour of the day

Then I proceeded to create a PowerPoint presentation to report my findings.