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The clients were very happy given the scale and complexity of the data, they published the whitepaper which helped unlock budgets from existing clients for media spend as well as generate net new business. I was credited in the white paper which may be found here: https://www.iprospect.com/en/ca/news-and-views/insights/holiday-2020-embracing-change/
iProspect Canada wanted to understand and forecast the impact of COVID for a whitepaper they were publishing. The challenge was to forecast what the end of 2020 search trends would look like for a diverse set of ecommerce markets in a COVID and non COIVD scenario.
I data scraped over 100,000 keywords using Google Trends. Then I used Time Series modelling techniques to fit COVID and Non COVID models to forecast both scenarios per industry. The outcomes were communicated using data visualisation.
The clients were very happy given the scale and complexity of the data, they published the whitepaper which helped unlock budgets from existing clients for media spend as well as generate net new business. I was credited in the white paper which may be found here: https://www.iprospect.com/en/ca/news-and-views/insights/holiday-2020-embracing-change/
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The brand was struggling to improve the ROAS of their online store above 300%, after getting a taste of 800 - 900% during the pandemic, when people being stuck at home all day every day was beneficial to a brand like theirs. The brand was already familiar to consumers who were used to seeing it at stores like Harvey Norman and Kmart, but now could no longer shop at those stores. Another challenge was not being able to offer discounts on their products deeper than the stockist retailer were offering.
The target ROAS was 500 - 600%. The channels they were using were Facebook/Instagram Ads and Google Ads. Facebook was an area of concern as they did not see consistent returns there, although the channel very well during lockdowns.
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