The latest perspectives on data, sales, and customer success
We’re excited to announce that Canopy Labs now offers direct integration with the PrestaShop platform starting today – allowing PrestaShop merchants in over 200 countries to start delivering 1:1 marketing experiences to its customers, and drive increased revenue through predictive email marketing, website personalization, and more.
More than 250,000 merchants use PrestaShop to power their eCommerce stores – and as customers of many of these businesses ourselves, we’ve been eagerly waiting to offer compelling products to this diverse community of merchants.
We’re proud of the Canopy team for their hard work in building our latest integration – and more importantly, excited to start offering thousands of PrestaShop stores with the tools they need to empower their eCommerce businesses through personalization and marketing automation!
What does this mean for PrestaShop merchants?
When you connect your PrestaShop store and email platform with Canopy, we start building a 360-degree profile of your customers — across transactional, email, website, and retail data. With Canopy’s unique integration across omnichannel databases, businesses can offer 1:1 product recommendations on their PrestaShop site, send 6-8x more abandoned cart emails than traditional tools, and power personalized email marketing to customers on your email list.
PrestaShop joins a growing list of eCommerce platforms integrated with Canopy Labs – including Shopify, Magento, Bigcommerce, Spree Commerce, and more.
Get started today by signing up for your Canopy account, and selecting PrestaShop from the Apps page — and see how 1:1 customer personalization can turbocharge your marketing!
At Canopy Labs, our aim is to help businesses better understand the complex journeys that their customers, patrons and fans go through before making a purchase decision. The Canopy platform offers a multitude of tools that help to understand and optimize the customer journey – but two of the most powerful ones are the Funnels and Reports Builders.
Today, we’re thrilled to share our Introductory Guides to Canopy Labs Funnels and Reports. These step-by-step guides give you a taste for what is possible using these two tools with Canopy Labs, and assist you as you explore your data in the customer journey platform.
Many businesses across a number of industries are discovering that there is a plethora of data customers leave behind when interacting with their company, be it online, in-store or both. Even though harnessing this wealth of data can provide several organizational benefits, many companies still have not gone beyond collecting and storing their data. It isn’t easy to deal with unstructured data but the benefits are rewarding if you do.
Picture the last time you visited a museum, whether in your city or on a recent vacation. You probably went online to check opening hours, exhibitions, and ticket prices. You arrive at the museum, wait in line to purchase your tickets, spend a few hours viewing the collection, and stop by the museum store on your way out. You might find there’s so much left to see, you join as a member so you can come back again soon.
Every little interaction that day – from browsing the website, to purchasing a souvenir at the end of your visit – impacts whether or not you had a positive experience, and will consider visiting again.
Canopy Labs is excited to share our latest case study with Well.ca, Canada’s largest online destination for health, wellness, beauty and baby essentials. Canopy is proud to work with Well.ca, which has grown revenue per email by 129% through personalizing its emails with 1:1 product recommendations.
At Dermalogica New Zealand, reminding subscribers of individualized promotions increased campaign revenue by 61% and spurred 3 times more revenue per email. Specifically, Dermalogica New Zealand sent subscribers a reminder to use their promotional code from an earlier birthday email – a simple follow-up email based on engagement, which saw surprisingly powerful lift. Read More
Product recommendations are quickly becoming a staple of online shopping experiences. Whether it’s Walmart.com or a new Shopify store, more and more companies are incorporating “Also Recommended” or “Customers Also Bought” offers to their site. However, too many recommendation engines today are still a bit clunky – if you look at one pair of blue jeans, suddenly all you get are offers for dozens of blue jeans.
Today we’re sharing how one fashion retailer used a different approach to product recommendations, leading to a 26% increase in Average Order Value.
Consumer-facing companies often face the struggle of not knowing enough about certain types of customers. While your most loyal customers will have lots of purchases, e-mail activity, and other data to inform your marketing team, this probably isn’t the case for a majority of your customers, particularly the ones that only have one or two transactions with you. These “middle ground” customers are usually missing just one or two data points to inform your segmentations or broader marketing strategy.
In our last blog post, we touted the benefits and popularity of one-click email surveys, particularly compared to traditional tools like Google Forms and SurveyMonkey. But how do these surveys perform in terms of engagement?
Online surveys typically suffer from low response rates (and even lower completion rates, especially if a survey takes more than a few minutes to complete). A University of Florida study found that online surveys are 11% less effective than mail/phone surveys, and response rates of 2% are not uncommon. The advantage, of course, is that online surveys cost very little to run, and give easy access to tens of thousands of respondents.
Given the benefits and ease of one-click surveys, they should theoretically see higher response rates than traditional surveys. Does this actually hold true? Read More