Using predictive triggered e-mails of this sort fundamentally changes the way marketers can communicate with customers and prospects,” said Wojciech Gryc, CEO, and co-founder of Canopy Labs.
TORONTO (PRWEB) July 19, 2018
Canopy Labs, a customer journey analytics company based in Toronto, announced today that it has launched predictive triggered e-mails in its platform. The new feature uses AI to enable marketers to trigger emails that prompt purchase or encourage retention. Using this feature, marketers can proactively engage customers and influence behavior before the customer takes action.
Traditional e-mail marketing platforms either incorporate batch-and-blast e-mails or trigger from customer activity, such as website browsing, in-store visits, or other observed customer behaviors. As a result, marketers can only communicate with customers reactively. The Canopy Labs platform creates a model for each customer as they interact with various marketing campaigns, loyalty programs, and staff across the company, predicting how likely these customers are to make a purchase, churn, or perform another activity. Marketers can then use the platform to engage these customers with the right message, prompting them to take a different action.
“Using predictive triggered e-mails of this sort fundamentally changes the way marketers can communicate with customers and prospects,” said Wojciech Gryc, CEO, and co-founder of Canopy Labs. “This technology has helped one of our customers increase their customer retention rates by 14% within nine months, and in another case, conversions on new product purchases were up by 72%.”
Most organizations use an incomplete subset of data and only include the sequence of events in their predictive models. The Canopy Labs predictive email triggers feature uses both the sequence of events and the timeframe in which the events took place, which vastly improves the model’s ability to predict customer behavior. Use cases for predictive triggered e-mails include:
- Discounts, special offers, or other content to encourage retention after low engagement or unhappy experiences.
- Introductions to new products while customers are still browsing.
- Category or product recommendations in which customers are likely to be interested.
“Our predictive models observe your centralized customer data and automatically learn your business model. You don’t need to set up triggers; our AI engine can let you know the best time to send those e-mails,” said Jorge Escobedo, CTO of Canopy Labs.
Canopy Labs is already live with such predictive models within major travel brands, omnichannel retailers, and ticketing companies. It plans on releasing a more general predictive modeling toolkit to enable marketers to trigger any action on these models results. “Our models can learn which customer communication works best at which point, so we’re keen to expand this e-mail capability to push notifications, call center calls, and more,” says Jorge Escobedo.
About Canopy Labs
Canopy Labs is a customer journey analytics company serving the top enterprises in North America, including Roots, Expedia, and the Whitney Museum. Canopy Labs was founded in 2012 by Wojciech Gryc, a Rhodes Scholar, and Jorge Escobedo, who holds a Ph.D. from the University of Waterloo. Canopy Labs is backed by Y Combinator, BDC IT Ventures Fund, and Valar Ventures. For more information visit https://canopylabs.com/
