Go beyond the chatbot hype and boost your customer service with automation to improve your CX.
We enable brands to deliver quality customer service through meaningful conversations.
Find the plan that suits your needs. Simple and predictable pricing - we’ve got you covered.
Self-service rate 76%
24% decrease in total call volume
Bitwala is a FinTech start-up specialising in the provision of cryptocurrencies and services for everyday banking. Due to their innovative approach to banking, their customers tend to be younger and more tech-savvy with high expectations in relation to instant service. Bitwala has to fulfil these expectations while simultaneously adhering to the strict regulations of the financial sector. The current COVID-19 crisis led to an influx in customer requests, which prompted the company to set up a Solvemate chatbot in order to keep their service levels high.
Solvemate provided an intuitive support solution for Bitwala’s customer base. The chatbot offers the same content as their underused help centre, but in a more intuitive way that customers can access at any time. As a result, Bitwala’s support inbox was emptied for the first time in almost a year. The bot, which they affectionately call Lola, handles around 1,000 conversations per month and is taking a huge strain off their service team.
One of the main objectives Bitwala hoped to achieve with Lola was to improve its customer onboarding experience. New customers often have questions about the account and verification process and previously became frustrated while waiting for answers. Now, the bot assists and guides them through this process for a smooth onboarding experience.
Lola also significantly improved Bitwala’s referral process by providing customers with step-by-step guidance. When a customer refers another person they receive a bonus. Questions frequently arise around this process, as the referral bonus is only paid out once the referred person has verified their account and created a wallet. To avoid any ambiguity or confusion, Bitwala uses their chatbot Lola to manage expectations by intuitively guiding the customers through the referral process.
Lola handles many requests both before and after verification. Typical requests include:
Even though Bitwala still relies on a lot of human support due to the sensitive data involved in many of their customer requests, the bot has a high CSAT score of 72% and their customers are loving it. The self-service rate is also high at 76%, given there are still many need-agent cases.
The bot is neatly integrated into their CRM system Zendesk, so it can hand over all required information to Bitwala’s agents when needed. Lola contains many gifs that illustrate to users where to click in their accounts and what actions to take, thereby helping them in an intuitive manner.
Since adding a Solvemate chatbot, Bitwala has seen the following improvements:
Full resolution time: This KPI indicates how long it takes to completely resolve a customer request. The full resolution time has dropped by an average of seven hours since the introduction of the chatbot. Through the receipt of well prepared and complete information, Bitwala’s service team is able to effectively troubleshoot without the need for the customer to answer further queries.
An example of this is Bitwala’s referral programme. When a customer would contact support about a missing bonus payment, an agent would have to follow-up this enquiry by asking who they had referred and confirming their personal details. The chatbot allows for this information to be transmitted during the first contact point. Since this particular topic had been the main ticket driver over the past six months, Bitwala’s support team has been able to save a significant amount of time—and dedicate it to resolving their customers’ queries instead.
First reply time: Bitwala uses this KPI to measure the time from when a customer sends their query to when a human agent sends their first reply. This metric decreased by an average of almost seven hours after Lola was launched. The bot helped to reduce the volume of tickets and speed up ticket resolution in general, plus it also collects well-structured information during the first point of contact which makes life easier for the agents later on. All of this contributed to faster ticket processing, which freed up Bitwala’s inbox. In turn, this enabled them to reply to their customers faster overall.
Call volume: Bitwala’s call volume dropped by 24%. This significant decrease in calls is linked to the fact that customers are increasingly able to independently find the information they need with the help of the bot.
Overall, the bot helps to provide more structured information for the support team and resolve tickets faster and with less touchpoints. An example of this is when a customer would like to update their residential address. Previously, the customer would send an email to request the update in the first step. Next, an agent would need to ask for a proof of address (POA), which is required to make the change. The POA was often not included in the original email, which meant that several touchpoints were required to resolve the ticket. The chatbot has greatly improved this process. It informs the customer that they need to attach a POA and as a result, the agent can resolve the ticket in just one email.
Everyone at Bitwala is extremely happy with the implementation and results of the chatbot. The set-up was straightforward and Bitwala felt that Solvemate always had their back and supported them throughout. While they didn’t fully know what to expect when they first launched the chatbot, the team at Bitwala have been amazed by the results. They receive far fewer “easy” tickets, because their customers’ self-service rate has noticeably increased. Given that they operate in a very technical industry, it can be difficult to transmit all the necessary information in just a few clicks and a limited amount of characters. However, by allowing their customers to provide them with all the necessary information at the first point of contact, their customer service team’s efficiency has greatly improved.
And thanks to the suggestions they have received from the customer success team at Solvemate, they’re convinced they can achieve even higher KPIs and make more significant improvements to their efficiency in the short and long-term.
A little fun fact about the name Lola: Bitwala was founded by three friends who wanted to shake up the finance industry. In the early days, the three crypto enthusiasts sat together in small co-working spaces and worked to develop a manual process that allowed customers to pay for their online purchases in Bitcoin. Part of that team was a French Bulldog called Lola. The office dog was there from the very beginning and quickly became the Bitwala mascot. So while the name might not mean much to the outside world, it is of great emotional value to everyone in the company.
Since launching the Solvemate chatbot we have noticed the following improvements:
First response time decreased by
Average resolution time decreased by
Total call volume decreased by
Get a short video previewing how Solvemate looks on your website. No obligations, no strings attached, 100% free.