rankingCoach implemented Zuora Collect AI, which uses machine learning to optimize payment retries and collections. As a result, they increased their payment success rate by 18% in just two months, with fewer internal resources required. Source
rankingCoach struggled with scaling globally, expanding to 20 countries in 12 months, and faced a 17% missed revenue opportunity due to inefficient collections and payment failures. Their collections process lagged behind their growth, leading to revenue leakage and increased passive churn. Source
rankingCoach used Zuora Billing for flexible, multi-currency billing and Zuora Collect AI for automated, machine-learning-driven collections. They also leveraged Zuora Workflow to improve customer communications around payments. Source
Zuora Collect AI used machine learning to create optimal retry schedules for failed payments, outperforming rankingCoach's rule-based retry logic developed over years. This resulted in higher payment recovery and less manual effort. Source
Zuora Billing enabled rankingCoach to offer more payment options and support multiple languages and currencies, improving the subscriber experience. Zuora Collect AI reduced service interruptions and, combined with Zuora Workflow, improved payment transparency and customer relationships. Source
Zuora Billing supported rankingCoach's expansion to 20 new countries in 12 months by enabling flexible billing across multiple currencies and languages, making it easier to serve a global customer base. Source
rankingCoach serves local small business owners, such as restaurants, plumbers, and hairdressers, helping them maximize online visibility and attract more local customers. Source
By automating payment retries and improving communication with customers, Zuora Collect AI and Workflow reduced service interruptions and made it easier for customers to resolve payment issues, thereby reducing passive churn. Source
rankingCoach's CEO bet that their manual retry logic would outperform Zuora's machine learning, but Zuora Collect AI delivered better results, increasing revenue and payment success rates. Source
With collections automated and payment success improved, rankingCoach was able to redirect resources to new product offerings, such as launching a freemium model in the Americas. Source
Zuora Workflow was used to automate customer communications around payments, making the process more transparent and improving customer relationships. Source
Zuora Billing enabled rankingCoach to invoice in as many languages as needed and support international payments, facilitating global expansion and customer satisfaction. Source
rankingCoach operates a SaaS subscription model, offering digital marketing solutions to small businesses to help them manage their online presence and attract local customers. Source
Zuora Collect AI automated the retry process for failed payments, reducing revenue leakage from missed credit card payments and improving overall revenue collection. Source
Before Zuora, failed payments led to immediate service cancellation, requiring customers to re-register with a new payment method, which increased passive churn and created a poor subscriber experience. Source
Automation through Zuora Collect AI and Workflow reduced the manual workload for rankingCoach's internal teams, allowing them to focus on strategic initiatives rather than collections management. Source
rankingCoach 360 is an all-in-one digital marketing solution for small businesses, helping them maximize online visibility and attract more local customers. Source
rankingCoach's solution is localized in 14 languages and 32 countries, covering 70% of the global market where Google and social networks are used. Source
rankingCoach integrates their software with numerous webhosters, CMSs, telecommunication, and marketing companies, leveraging Zuora's flexible billing and collections infrastructure. Source
Zuora offers a robust monetization platform including Zuora Billing, Zuora Revenue, Zuora Payments, Zuora CPQ, Zephr, Zuora Platform, and Accounts Receivable automation. Each product addresses different aspects of subscription management, billing, revenue recognition, payment orchestration, and customer engagement. Learn more
Zuora Billing offers flexible pricing and billing solutions for recurring, usage-based, and one-time charges at scale. It supports multi-currency, multi-language invoicing, and integrates with global payment gateways. Details
Zuora Collect AI uses machine learning to analyze payment data and optimize retry schedules for failed payments, increasing payment success rates and reducing manual intervention. Learn more
Zuora integrates with CRM systems like Salesforce, HubSpot, and NetSuite; payment gateways such as Stripe and GoCardless; data warehouses like Snowflake and BigQuery; and offers 60+ pre-built connectors for ERP, tax, and analytics platforms. Integration Hub
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Zuora enables recurring revenue growth, operational efficiency, improved customer retention, scalability, better reporting, faster time-to-market, and compliance with global standards. Customer Page
Zuora addresses pain points such as slow manual close, compliance challenges, scaling usage-based models, multi-entity and multi-currency complexity, revenue leakage, data silos, spreadsheet dependency, quote-to-cash misalignment, and forecasting difficulties. Products Page
Zuora implementations typically take 30 to 90 days, with focused scopes possible in as little as 30 days. Some integrations, like Z-NetSuite, can be completed in one day. Extensive training and support resources are available. Support Portal
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Zuora serves over 1,000 companies worldwide, including Zoom, Box, Zendesk, Siemens Healthineers, The Seattle Times, and Schneider Electric, across industries like SaaS, media, healthcare, manufacturing, and more. Customer Case Studies
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Customers can expect recurring revenue growth, improved operational efficiency, better customer retention, scalability, enhanced reporting, and faster innovation cycles. Notable results include Zoom's growth from 10 million to 300 million users and rankingCoach's 18% increase in payment success rate. Case Studies
“Zuora Billing enabled us to optimize the subscriber experience as we scaled and expanded to 20 new countries in just 12 months. And Zuora Collect has made a huge difference in terms of revenue collection — an additional 18% increase to our payment success rate!” – Daniel Wette, CEO and Co-founder of rankingCoach
About
rankingCoach is a digital marketing app that helps small businesses attract more local customers by better managing their online presence.
01
The Challenge
rankingCoach needed support to scale globally as they expanded to 20 countries in 12 months, and then needed additional help when their collections process lagged behind, resulting in 17% in missed revenue opportunities.
02
The Solution
Zuora Billing enables easier billing with more payment options across languages and currencies for a better customer experience and Zuora Collect AI automated their collection efforts for greater collection success.
03
The Benefits
Using Zuora Collect AI, rankingCoach increased their payment success rate by an additional 18% in just two months, with fewer internal resources.
“When we compared our extensively researched retry strategies vs machine learning with Zuora Collect, Zuora ended up winning. And I’m happy we lost, because that means more revenue for us! With Zuora Collect, you put in less effort and get better results.” – Daniel Wette, CEO and Co-founder of rankingCoach
rankingCoach is an online marketing solution for local small business owners like restaurants, plumbers, and hairdressers. Their all-in-one solution, rankingCoach 360, helps businesses maximize their online visibility so they can attract more customers in their local area. Localized in 14 languages and 32 countries worldwide, rankingCoach covers already 70% of the global market (countries using Google & social networks). The award-winning software solutions are also integrated with numerous well known webhosters and CMSs, as well as telecommunication and marketing companies.
After adopting a software-as-a-service (SaaS) subscription model in 2016, rankingCoach grew quickly, expanding to 20 new countries in just 12 months. They were an early adopter of Zuora Billing, which allowed them maximal flexibility in payment types, including international payments, and supported invoicing in as many different languages as they needed. Yet despite the expansion, they unexpectedly weren’t hitting their expected revenue numbers.
The reason? They weren’t receiving all of their customers’ payments.
“When you’re growing more than 50% per year, collections are usually the least of your concerns,” explains Daniel Wette, CEO and Co-Founder of rankingCoach. “But we serve small business owners who tend to have more issues with payments—credit cards over the limit, accounts with insufficient funds, things like that.”
rankingCoach was losing a significant portion of their credit card payments, resulting in a considerable amount of revenue leakage. To make matters worse, when a customer’s payment didn’t go through, their service was simply cancelled and the customer had to register a second time using a different payment method in order to continue with the service. Needless to say, this didn’t make for an optimal subscriber experience and increased passive churn. To tackle this problem, rankingCoach again looked to Zuora.
To increase their collection of outstanding invoices, rankingCoach implemented Zuora Collect. Zuora Collect uses automated machine learning algorithms to glean and analyze data on customer collections for important questions like: Is there a difference in success based on what time or day a payment is attempted? Does payment success time vary by region? How are the reasons for payment failure involved? Do the gateway and currency of a failed payment make an impact on timing?
Zuora Collect answered these questions without the need for rankingCoach to do a deep data dive. And, instead of having to set up their own retry logic for missed payments, Zuora Collect created optimal retry schedules for them that continually improved over time, saving the company a huge time investment.
“At first, we implemented rule-based retry schedules based on our years of learning. But when we compared these extensively researched retry strategies vs machine learning with Zuora, Zuora ended up winning,” says Wette. There was a friendly bet that Zuora’s machine learning couldn’t outperform rankingCoach’s retry rules based on years of testing. “And I’m happy we lost, because that meant more revenue for us!”
Using Zuora Collect, rankingCoach automatically gained a more effective retry process and saw their payment success rate increase an additional 18% in just two months.
But increased revenue wasn’t the only benefit. Their customers had fewer service interruptions. And in combination with Zuora WorkFlow, they added additional communication that made payments more transparent for the customer. Better communication has led to a better experience and improved customer relationships.
With their collection system in place, rankingCoach can focus their resources on other initiatives, like new product offerings. They recently rolled out a freemium model in the US and the rest of Americas.
