FOR SHOPIFY & SHOPIFY PLUS
Selling 50+ products and collect USD$1Million or more annually on Shopify? Read on.
Our services team will create 4-6 recommendation widgets on your site. Before going live, you’ll review and approve the setup. Once live your 7-day challenge clock starts ticking.
We’ll meet after at least 7 days of live hyper-personalization. By then you’ll have enough data and experience with Obviyo to decide if it’s valuable for your brand.
ALREADY USED BY 500+ BRANDS.
“Obviyo Recommend is the intelligent approach to eCommerce, personalizing our visitors’ shopping experience to get the best products in front of our customers with the bonus of increasing our revenue.”
– Kristina Burbich, Head of eCommerce, Lilly Lashes
Using customer histories to predict future buying patterns for everyone else.
Only creates relevant personalization for up to 10% of your visitors.
This is how regular personalization works.
Using live buying-signals to create uniquely individual recommendations on the fly.
Unlocks relevant personalization for 90% or more of your visitors.
Amazon calls this Hyper-Personalization.
Revenue per visitor
Revenue per visitor
Revenue per visitor
Revenue per visitor
*Increases from visitors who engaged with personalized recommendations versus visitors who did not.
Try before you buy use of Obviyo Recommend app. Fully automated integration with your Shopify store, data access, algorithmic training, and real-time data exchange between Shopify and our hyper-personalization cloud.
Our team guarantees you’ll have an effortless hyper-personalization experience. We will custom style your recommendations, define best locations on your site, and monitor your live results.
You will meet with us at least once to review results after your initial 7-days of live recommendations. Additionally, we’ll be available to meet on-demand to ensure you get the support your deserve.
Can Hyper-Personalized Recommendations Fix Shopify’s Mobile Product Discovery Problem? (Spoiler: Yes)
Time on site: 153 seconds
Revenue per visit: $3.59
Time on site: 554s (▲ 236%)
Revenue per visit: $17.86 (▲ 600%)
Time to results: 4 weeks
Mobile shoppers spend less time on site compared to desktop visitors.
Visitors’ average time on site directly correlates with revenue per visitor (RPV) metric, which explains why mobile revenue per visit is way below desktop RPV.
With hyper-personalized product recommendations, this brand is boosting mobile visitor time on site. As a result, they’re significantly increasing revenue-per-visit (RPV) of visitors who are engaging with recommended products.
“If you are looking to replicate the Amazon product discovery experience on your own site to influence more conversions and sales, this is the app for you. We went live quickly, and continue to add automated recommendations across our whole site, including the cart. The support team have been very helpful during our initial rollout, and the Amazon Personalize machine learning is a seriously powerful stuff!”
– Head of eCommerce, Synergee Fitness
What Running Dozens of Hyper-Personalized Recommendations on This Shopify Plus Store Taught Us About Growing New Revenue
% of engaged visitors: 1.2%
% of revenue influenced: 2.4%
% of engaged visitors: 9.6% (▲ 700%)
% of revenue influenced: 37.9% (▲ 1,479%)
Timeframe: 4 months
Most Shopify stores have a few product recommendations on a handful of pages, like product or cart pages, while majority of their site is a static content.
Amazon.com is blowing ‘conventional wisdom’ out the water and treating almost the entire site as a dynamic, product recommendation driven content.
This case study proves the value of Amazon’s approach. As merchant was increasing the number of recommendations the percentage of visitors engaging with product recommendations increased in a linear way, while new revenue influenced by recommendations increased exponentially.
By placing a wide variety of product recommendations aimed at different buying personas taking different actions on the site under different context merchants will unlock a revenue potential of 90% of non-buyer visitors who never engage with the brand today.
Win New Customers
On average, 90% of your visitors never add a product to the cart and leave.
Hyper-personalization will unlock the revenue potential from your ‘cold’ traffic, from visitors who are your current non-customers.
Unlock Mobile Revenue
Mobile shoppers have different needs and they act differently. Buying sessions are much shorter than on desktop.
Hyper-personalized recommendations will increase time on site and boost mobile revenue.
Increase Lifetime Value
Getting more revenue from existing customers is challenging.
Hyper-personalization enables seamless customer engagement along the entire lifecycle to upsell and cross-sell the existing customers.
Act Now To Maximize Holiday Sales
Buyer behavior changes significantly during the busy holiday season. It’s the time when people mostly buy presents for others. This makes conventional personalization useless, since they are trained to recognize the historic needs of buyers themselves.
Hyper-personalization makes recommendations on the basis of live visitor actions. Perfect for busy holiday shoppers. Detecting buying signals and making relevant recommendation increase engagements and purchases.
Use of historic data to train algorithms to recognize buying patterns of existing customers.
OLD RESULT: Recommendations that are only relevant for up to 10% of visitors who have the same preferences as existing customers or those that are very similar to them.
Use of live customer actions and context to make hyper-personalized product recommendations in real time.
NEW RESULT: Unlocking a revenue potential of remaining 90% of visitors who every day have a good reason to visit a site and leaving without every finding a product of interest.
THE BREAKTHROUGH DISCOVERY
From 20 years of continuous experimentation and innovation at Amazon.com, the machine learning team learned visitor actions and context are much better predictors of customer needs and preferences than historic data alone.
This has disrupted the personalization game and forged a new generation of machine learning algorithms. Capable of making real-time recommendations based on live visitor activity.
BY THE NUMBERS*.
of all sales influenced by personalization.
sales gains attributed to personalization.
more likely to become repeat buyers.
*Based on independent analyst estimates of Amazon.com.
Is it easy to add the app to my Shopify store?
Yes. Just install the Shopify app and our system will start multiple automated workflows. This will connect our app to your Shopify store data, automatically place our tag to your theme, configure your recommendation algorithms, map data, and many other things. Book your 7-day trial through the dashboard.
Is my data safe and secure?
Obviyo Recommend is a Shopify Plus certified app. Which means we comply with Shopify’s own high data privacy and security requirements.
Note: We never share data with Amazon.
Will you slow our page load time?
Relative to your existing page load time, the impact is minimal.
During the Shopify Plus certification process we had to run page load time stress tests to demonstrate tag loading speed complies with Shopify’s high standards.
Note: When evaluating our tag load times Merchants should have in mind that our tag is an asynchronous tag. Our tag loads in parallel with other page content. So, if our tag loads in 200ms that does not mean the net impact on the page load time is 200ms. Instead, it is a fraction of that – since during the 200ms time interval a browser also loaded 4-5 other content items in parallel.
Can we style the recommendations to match our theme?
Yes. Our team will follow your directions to customize the recommendation titles and brand style.
How do you know where to put recommendations on my site?
We’ll do it on your behalf in our admin panel. We identify unique ‘markers’ in your store’s source code and place recommendations before or after those markers.
These markers will appear as a named locations in the admin drop down box for your future ongoing use of our application.
What happens if we decide not to use your app after 7-day challenge?
We will pause your live recommendations, enabling you to change your mind and hypothetically use our app again in the future.
There is no need to uninstall app. Since you are not using, you will not be charged.
“We have been in search of a good personalization and recommendation tool for our Shopify Plus store for a couple years now. A 58% increase in our average order amount is just one result from this app. Very easy to use and their team is always helpful in answering any questions you have. If your company is looking to get into personalization, then you really need to try out Obviyo.”
– Jeff Moriarty, Director of Marketing, MySupplementsStore.com
To achieve top hyper-personalization results you need an app that is architected for the greatest real-time performance.
Recommend sits on top of Obiyo’s HyperX Cloud. This maximizes CDN capability to provide high speed visitor tracking, multi-environment data exchanges, and machine learning that provides recommendations related to live visitor actions in milliseconds.
Hyper-personalization is a new science. Development requires time, deep expertise, and a big budget.
Recommend is powered by the same algorithms that are driving product recommendations (and billions in monthly sales) on Amazon.com.
Adoption of enterprise grade solutions like Recommend is only possible with ease of use.
Recommend is seamlessly integrated into your store. All you have to do is activate the app in your Shopify admin panel.
EASY TO USE.
Dozens of pre-built product recommendation templates aimed at different personas sending different buying signals – gets you started in minutes.
Expand hyper-personalization across multiple channels – have seamless experiences between website and email marketing.
Intuitive ‘no-code’ editor for both mobile and desktop UX. Always stay on brand.
Learn what recommendation strategies perform best. Iterate until you uncover your top performing portfolio of hyper-personalized recommendations.
By activating Recommend you will initialize fully automated workflows to download your data, train machine learning algorithms, and place a small tag into your site theme so we can learn from visitors and deliver live recommendations.
Our success management team will create and style product recommendations on your behalf while incorporating your feedback until you satisfied and ready to go live.
See for yourself if new recommendation algorithms that use visitors’ real-time actions and context to unlock revenue from 90% of your ‘cold’ traffic are performing well on your site.
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