AI Assistant on WhatsApp: How FASTA Reduced Traditional Channel Dependency by 20% and Improved Customer Experience

FASTA bet on AI-powered FAQs to launch a new WhatsApp channel and give its customers an efficient and conversational self-service support solution that's available 24/7.

24/7
Availability
20%
Reduction in Phone and Email Support Dependency
40X
Increase in Loan Collections Post-Channel Launch
24/7
Availability
20%
Reduction in Phone and Email Support Dependency
40X
Increase in Loan Collections Post-Channel Launch
Fasta case study by Landbot
COMPANY

FASTA is an online consumer finance business that offers South Africans a range of services and products that provide consumers with access to financial resources, through an efficient, online, self-service application.

HEADQUARTERS

Cape Town, South Africa 🇿🇦

EMPLOYEES

11-50

INDUSTRY

Financial Services

AGENCY PARTNERS
24/7
Availability
20%
Reduction in Phone and Email Support Dependency
40X
Increase in Loan Collections Post-Channel Launch
Fasta case study by Landbot
COMPANY

FASTA is an online consumer finance business that offers South Africans a range of services and products that provide consumers with access to financial resources, through an efficient, online, self-service application.

HEADQUARTERS

Cape Town, South Africa 🇿🇦

EMPLOYEES

11-50

INDUSTRY

Financial Services

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Meet Justin Taylor, Head of Commercial at FASTA.

FASTA is an innovative financial services provider based in Cape Town, South Africa. Specializing in short-term loans, FASTA offers a fully automated, self-service online experience that gives customers complete control over their credit applications, eliminating the need for call center interactions or branch visits. FASTA redefines the lending experience by prioritizing transparency, flexibility, and speed, making it more accessible and convenient for all South Africans.

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THE CHALLENGE

Creating awareness about animal cruelty and improving engagement with prospective donors to improve leads

Creating Accessible, Scalable, and Effective Customer Support

FASTA’s primary clients are individuals seeking quick and reliable financial assistance for short-term cash flow needs. To align their customer service operations with their product offerings and improve the traditional support environment, FASTA faced several challenges:

  • Delayed Response Times: Limited resources led to slower response times.
  • Inconsistent Service Quality: Maintaining high-quality service was challenging with varying response times.
  • Customer Frustration: Traditional methods often cause delays and inefficiencies.

FASTA is committed to delivering swift solutions to its customers. They sought new ways to align their customer service operations and improve their more traditional support environment to deliver on this commitment. Traditional customer service operations are centered on fielding phone calls, emails, and online portal inquiries from its customers, paired with limited human resources. FASTA needed to enhance its customer support to be:

  • More responsive
  • More accessible
  • Scalable
  • Available 24/7, 365 days a year

To improve customer service accessibility and efficiency, FASTA integrated Landbot’s AI Assistant on WhatsApp. This solution provided:

  • Real-Time Data Integration: Direct integration with databases to provide accurate data to customers.
  • Tailored Customer Experience: Categorization and channeling of inquiries to appropriate services.
  • Enhanced Self-Service: Customers can obtain balance information, and settlement quotes, make instant payments, and ask account-related questions.
Fasta case study by Landbot
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THE SOLUTION

Landbot's AI Assistant for Customer Support on WhatsApp

FASTA wanted to make customer service easier and more accessible for its customers but wanted to use a platform that consumers are already familiar with and use frequently — WhatsApp.

FASTA then integrated with Landbot’s AI assistant on WhatsApp to provide an efficient and responsive self-service customer support solution. Following an authentication and verification process to make sure they were speaking to the right customer, this service would allow customers with an active account history to: 

  1. Obtain the latest balance of their account
  2. Obtain a settlement quote
  3. Make secure instant payments towards their account.
  4. Engage with FASTA to ask questions about their account or FASTA’s product offering

Landbot’s AI assistant proved very useful in providing support to customers who asked questions relating to their accounts. FASTA enabled a WhatsApp link on their customer account portal where a customer could click through and then continue a conversation directly via WhatsApp.

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Fasta case study by Landbot
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FASTA used Landbot’s AI Assistant to create an interaction flow through which they were able to perform a real-time integration with its host systems to securely provide account information to the customer, understand and categorize the type of support customers are looking for, and link them to the most appropriate kind of service intervention for that particular request.

The predominant use of AI is to identify what customers are looking for in terms of product information and answer questions such as how to reset their account password, provide critical documentation, or make payment towards their account.

The additional use of Landbot’s AI Assistant on WhatsApp was centered around collections of overdue loan payments from customers. From time to time, a customer may experience some type of financial distress that renders them unable to pay for their loan in due time. Before FASTA’s agents would contact customers using traditional mediums (phone, email, text message), but this wasn’t the ideal solution as in many instances the customer is not able to take a phone call, as they might be unavailable to answer.

Collections are another space where I think financial services companies typically get it wrong. It's arguably one of the most important processes. You know, giving money away is fairly easy. Getting it back, that's a trick.

Justin Taylor | Head of Commercial at FASTA

However, on WhatsApp, customers enjoy a degree of anonymity and privacy, and they can still converse with someone about the issue they’re facing.

After initially testing Landbot’s AI solution for customer service, FASTA deployed it in their collections environment, too. Customers are now able to secure a payment arrangement as well as make instant payments through FASTA’s WhatsApp process.

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Step 4 - Campaign assets submission, review & approval

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The additional use of Landbot’s AI Assistant on WhatsApp was centered around collections of overdue loan payments from customers. From time to time, a customer may experience some type of financial distress that renders them unable to pay for their loan in due time. Before FASTA’s agents would contact customers using traditional mediums (phone, email, text message), but this wasn’t the ideal solution as in many instances the customer is not able to take a phone call, as they might be unavailable to answer.

Collections are another space where I think financial services companies typically get it wrong. It's arguably one of the most important processes. You know, giving money away is fairly easy. Getting it back, that's a trick.

Justin Taylor | Head of Commercial at FASTA

However, on WhatsApp, customers enjoy a degree of anonymity and privacy, and they can still converse with someone about the issue they’re facing.

After initially testing Landbot’s AI solution for customer service, FASTA deployed it in their collections environment, too. Customers are now able to secure a payment arrangement as well as make instant payments through FASTA’s WhatsApp process.

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customer 3rd person
quote pink
My origins are in ecommerce where lead generation can be complex. Thanks to Landbot we achieved improvements of up to 400% in 3 months, with the same advertising expense.
Marco Borsani

Head of Commercial at FASTA

customer 2nd person
quote mark blue
Landbot allow us to go beyond the simple concept of chatbot or livechat and to provide to our customer and even to ourselves a complete and immersive conversational experience.
Lara Petraglia

Marketing Manager | Conversational Design

landbot case study results
THE RESULTS

Landbot’s AI Assistant on WhatsApp has boosted FASTA’s customer support team’s efficiency

Landbot’s AI Assistant for WhatsApp has improved FASTA’s response rates, allowed for better scalability, and reduced reliance on contact center agents. With certain customer queries being handled by the AI Assistant on WhatsApp, FASTA’s support agents can focus on more complex and important requests.

The implementation of Landbot’s AI solution has helped FASTA significantly reduce support request resolution times to a matter of minutes instead of hours. It has also led to a 20% reduction in reliance on traditional customer support channels such as phone and email.

The AI Assistant has equally proved very effective in creating a new channel for FASTA’s loan collection process. In a few months, this new channel has seen a 4,000% increase in customers opting to pay their accounts through this WhatsApp offering.

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When it comes to applying AI to FASTA’s support operations, Justin says: “It is a very effective solution. It all comes down to the way we use it.”

Landbot’s AI Assistant on WhatsApp has significantly improved FASTA’s customer support team’s efficiency and effectiveness, as well as the loan collections process. All the while meeting customer expectations by using a channel they’re already familiar with and without compromising support quality.

CAMPAIGN TYPE
Conversational Design Bot-Powered eCommerce Campaign for an aluminum planter manufacturer.
Conversational Design Graphic
RESULTS
Close to 5,000 chats with 40%+ conversion to lead and a CPL of 1.71€.
CAMPAIGN TYPE
Own Conversational Design Bot-Powered Facebook Campaign.
Conversational Design Graphic
RESULTS
Over 64% lead conversion with 345 completed chats out of 536, with a CPL of 2.44$.
CAMPAIGN TYPE
Landbot on a full landing page + integration with Active Campaign for the email marketing campaign.
SOAP Graphic
RESULTS
From 6665 emails sent, the open email rate was 73.64%, and 61.97% of clicks.
CAMPAIGN TYPE
Levels of engagement - email marketing campaign
SOAP Graphic
RESULTS
In red, the number of opened emails are the biggest slice of the pie chart.
LEADS GENERATED
Number of leads acquired using a standard landing page VS using Landbot for lead generation.
552
😑 Landing Page
3588
🏆 Landbot
4000
3000
2000
1000
500
0
RESULTS
552 leads acquired with a landing page VS 3,588 leads using Landbot.
COST PER LEAD (CPL)
Cost per lead results when using a landing page instead of using Landbot.
Landing Page 😒
CPL of over
650$
Landbot 🚀
CPL below 400$
RESULTS
CPL of over 650$ when using a landing page VS less than 400$ with Landbot.
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GROWTH WITH LANDBOT