Marketing teams today face a turning point in their profession that is both a challenge and an opportunity. More data than they can understand and the new requirement to produce accurate revenue forecasts from that data. At conDati, we like to focus on the opportunity:
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Everyone on the marketing team loves to hate PowerPoint. The question is, perhaps, why? Humans love visuals after all. In fact, good visualization can show potential connections, relationships, and important patterns that are not as obvious in non-visualized quantitative data.
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Ah, email marketing. As the digital analytics evangelist Avinish Kaushik wrote a few years ago: “Email remains an immensely credible and profitable channel, with an immense reach to boot. To not have it as an active part of your marketing portfolio is sub-optimal.”
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On May 31, 2018, we launched conDati Marketing Analytics. Founders, investors, employees, and friends gathered to watch a live demonstration, hear from customers, and learn how conDati uses leading-edge data science to provide marketing teams the ability to use data-driven insight in their most difficult and important decisions.
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We have already talked about the complicated process most ecommerce companies go through when tracking their marketing data.
There’s the time spent extracting data from various sources, copy-pasting it into spreadsheets and, of course, trying to make sense of it all. It’s a very expensive, very complicated nightmare that most companies have to go through at least once a month. We can all agree that automated reporting saves you time - but how exactly does it lead to better performance?
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Recently, news stories have begun to circulate asking the question that is apparently on the minds of marketing professionals everywhere: “Will AI replace marketing teams?”
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I was recently invited to speak and present at the New York Marketing Association(NYMA) about how AI-driven analytics can help marketers improve their campaigns (and revenue), showcasing real possibilities and relevant use cases to the nearly hundred attendees. In other words, I explained in real terms how AI can work for them, now — without being a data scientist or “mathmagician”.
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First in a series on how and why conDati choses the prediction models we use to improve your marketing performance.
Marketers have had to rely on instinct and experiential knowledge alone to produce winning, hopefully profitable campaigns. In addition, months would go by without any solid information and when they did get numbers, accuracy was always a problem.
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On June 1st 2017, Marielena Gardner, Dan Bartow, Connie Quach, and Ken Gardner founded conDati on the promising idea of using data-science to create completely new analytics capabilities for Marketing.
On May 31 st 2018, the evening before our first birthday, conDati’s team of nearly 30 employees gathered with our investors, partners and customers to celebrate the first commercial release of conDati Marketing Analytics.
CEO and co-founder Ken Gardner welcomed everyone with a look at how far
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Have you ever scrambled to put together a last-minute marketing report, only to realize you are missing a crucial piece of data?
You are not alone.
Many marketing departments go through the same process every month: manually extracting marketing data from multiple sources, entering it into a spreadsheet, then spending hours fiddling with the data to create a report they can actually use to improve their sales strategy.
For most ecommerce companies, that’s a lot of data to go through - and a lot
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