Project Description

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Pakke.dks Chat Solution

When the digital chat solution reduces inbound customer inquiries and generates more sales

To most people who opened a business school textbook or heard the “Increase revenue and reduce cost” mantra, it might sound like a dream scenario – yet, it is what Ulrik Kjær Larsen, owner of, and his 12 man team who offer shipping services in Denmark, Sweden and Norway experience. 

The secret to the IT chat solution lies in analysing all incoming questions for customer service and determining what questions were support related and what questions were sales related. 

After Ulrik and his team structured the historical data, they fed BotXO’s chat robot the questions and configured the answers they would usually give a customer via email, chat and telephone. The chat solution has been set up for both, & – in Danish, Norwegian and Swedish and supporting all three language versions in English. 

Chat Solution - Meet SARA Pakke.dks new Chatbot

The chatbot which implemented across their three sites is called SARA

Results within 24 hours 

Big impact with little effort 

“Of course, we had great expectations of BotXO’s starter kit – but not in our wildest imagination did we imagine that our new chatbot would halve our number of support tickets and relieve our customer service to the extent it does. Add to that the fact that we can also assert that the traffic coming through the chatbot has a conversion rate which is 4 times higher, and we almost have to pinch ourselves to believe it is true. But it is.” Ulrik Kjær Larsen, founder and CEO of, says. 

It always starts with data analysis 

The data analysis forms the basis of the customer journey itself. 

Farnaz Aref, Chief Conversational Design Officer, BotXO

when we start a new collaboration with a customer, one of our first tasks is to get a handle on the data.

“When we start up a new collaboration with a customer, one of our first tasks is to get a handle on the data. Our task is to analyse and structure existing data collected from email chat support and match it against the FAQ. But in the case of Ulrik and his team, they had already been keeping track of their data. Therefore, in regards to, our role was more about supporting the actual implementation and advising on the use of our chatbot SaaS chat solution,” says Farnaz Aref, Chief Conversational Design Officer, BotXO. 

Implementation of structural dialogues 

The configuration of chatbots has much in common with configuring marketing automation 

The implementation of chatbots means looking at the overall dialogue structure, establishing links between text dialogues and adding rules that determine what happens when a user asks a question. When the chatbot has been configured, typically as both a customer service and sales chatbot, it will be implemented in up to three different channels – on the website, in Facebook Messenger and in mobile phone apps. 

Ulrik Kjærsgaard Larsen , CEO,

of course, when we experience this great a success with that little effort, we should be involved all the way.

The measurement of the entire customer journey 

The next step for and BotXO is to link data, ensuring that the entire customer journey can be monitored as a whole – from traffic to initialisation of dialogues, to the links the user clicks in the chatbot and on through the sales funnel and out into the website to see which targets users hit. 

“Obviously, when we experience this great a success with that little effort, we are interested in finding out what happens if we spend even more time on the chatbot. We can already see how we can strengthen the chatbot by making it smarter and answering more questions, so that is where we will start. Since we are already a data-driven company, we want to link our data with the data we can get from BotXO and work in a more structured manner going forward,” Ulrik Kjær Larsen says. 

Data-driven decisions 

The chatbot technology is relatively new, why it obviously involves new ways to measure success and limitations. 

“We are a young company with a new technology for existing markets. We have a good overview of our data, but did not really put it to use yet. The clients we have have been more interested in seeing what the chatbot technology really is and how it fits into their existing business. Now is the time to go for a more data-driven approach. Several of our current customers are already ready to work in a data-driven manner, and we are pleased that requests data-driven decisions and development,” says Martin Stahl, CMO/CDO of BotXO. 

BotXO has data, the customers have multiple sets of data, both from the customer service platform, web analytics, social media, email and NPS. This is the data to be given priority, used for optimisation and converted into a basis for decision making. 

New KPIs and measurement concepts for a new technology 

In the holistic view of all data sets, the linking of data and working in an even more data-driven manner, BotXO introduces new KPIs which the generally data savvy marketer does not normally work with. These are e.g. “Fallback” and “Human take-over” 

Martin Stahl, CMO/CDO fra BotXO.

the number of sales conversions and traffic to the chatbot will also play a role when more knowledge must be transferred to the chatbot.

“Of course, we are working with a new technology that involves automated dialogue, and even if we implement NLP now in the second quarter, there will still be areas which a chatbot must first learn to understand. And in the specific cases where the chatbot has its limits, we work with a fallback which refers the chat to a customer service representative (Human take-over). That is, when the chatbot runs out of answers, our fallback is to ask users if they want to speak to a customer service representative. While this of course means that we do not drop the customer, it also tells us where the limitation to each chatbot lies.” 

“Once we have data in the form of questions, the context to which the questions relate, time stamps etc., we can transfer new knowledge and learning to the chatbot. This is our foremost area for taking action. Data in the form of number and types of customer service inquiries and the number of sales conversions and traffic to the chatbot will also play a role when more knowledge is to be transferred to the chatbot,” Martin Stahl concludes. 

Written by Martin Stahl.

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