Case Studies
Why DE Data?
Our experience is helping companies to achieve significant results by turning their data into action.
66% increase in revenue from B2B sales
B2B Automotive Trading Company
This customer is a recognised B2B car trading company operating throughout the EU. Their rapidly growing business generates valuable data that we analysed and transformed into insights, giving them a competitive edge.
Challenge
The sales team’s knowledge of their B2B customers was limited, with the majority making sales calls with little to no information to hand. With only their intuition and judgement as a basis on which to work with each customer, they achieved an average revenue of approximately €13 per sales call.
Solutions Applied
1. Behavioural Prioritisation
We processed the company’s entire sales history from their ERP system, as well as their call duration records from the PBX system. Our models automatically prioritised customers by value and importance.
2. Predictive Product Recommendation
Our predictive model analysed historic customer behaviour and highlighted up to five cars each customer was most likely to purchase, allowing the team to focus on those vehicles with their respective clients.
3. Stock Ageing and Optimisation
We created an intelligent model comprising different criteria based on customer need against the age of stocked vehicles, so as to reduce devaluation over time. The model recommended which customers to call and when, as well as suggesting the most suitable vehicle to discuss on the call to avoid wasting their time and create the best first impression or build on existing customer relationships.
Results Achieved…
The sales team began receiving our daily recommendations which enabled them to work more effectively with their customers, including the best times to contact them.
It became apparent during our analysis the company’s contact list was riddled with inaccuracies, which had resulted in them contacting only every second or third lead. Since our adjustments, the average revenue per sales call increased to €21.60.
The results have been so convincing our models were integrated into the company CRM system, ensuring the team now works efficiently and consistently and, most importantly, in a personalised manner with their B2B customers.
75% increase in average order value
Hierbas Organicas
Hierbas Organicas (Organic Herbs) is a company dedicated to distribution of the best tea, herb and spice products. It was founded in 2013 to provide quality products to customers committed to eating a healthy diet to fuel the body.
Challenge
The challenge here was common in many small businesses. The company wanted a solution to enable them to provide a more personal service to their customers. At the same time, Hierbas Organicas wanted to nurture relationships with new customers, and hoped to increase the number of repeat buyers so as to achieve their desired growth targets.
Solutions Applied
1. Behavioural Segmentation
We processed their entire sales history and the system automatically recognised various customer categories and their corresponding revenue potentials. By discovering two particularly large groups of lapsed customers requiring activation, Hierbas Organicas CEO Jose Alberto Apezteguia immediately knew who to approach and how.
2. Predictive Product Recommendation
Our predictive model analysed past customer behaviour and suggested the top three products each customer is most likely to purchase. Detailed measurements indicated these recommendations were approximately 85% more likely to convert to sales compared to random product offerings.
3. Customer Retention Automation
After the initial analysis, Jose Alberto decided to receive weekly email recommendations to further enhance performance using our predictive product tool. We also identified the best days for communication, which resulted in Hierbas Organicas’s digital marketing working more effectively.
Results Achieved…
The CEO was blown away by the campaign’s results and the revenue it had generated. His expectations had been exceeded four fold.
Furthermore, we observed a 55% increase in email open rate and a 47% increase in click rate, higher than the results of previous campaigns. The company also registered an extraordinarily
high number of orders from returning customers, which was their initial goal. This resulted in the highest customer loyalty the company had ever achieved after a campaign. It had almost doubled compared to the average impact of previous campaigns.
Last but not least, the Average Order Value (AOV) resulting from our campaigns was 75% higher than the AOV of other efforts to date.
The effectiveness of the personalized approach towards our customers exceeded my expectations.”
Jose Alberto Apezteguia, Founder – Hierbas Organicas, Mexico
46% more revenue from buyers and sellers
CGTrader
CGTrader is a virtual marketplace for buying and selling 3D models, similar to those created in AutoCAD. This marketplace provides an opportunity for designers to monetise previously created models.
Challenge
Dalia Lasaite, CGTrader’s CEO, faced a tough challenge; how should she best spend her marketing budget to achieve the largest possible growth for the company?
Email marketing was their preferred channel, as incentives can greatly improve sales. In order to make this campaign as effective as possible, the company required more detailed customer information to enable them to create personalised, targeted offers.
Solution Applied
We processed CGTrader’s data in a similar way to that of Hierbas Organicas. However, this project was quite specific, as we created two behavioural categories for them, one for buyers and another for sellers to enable CGTrader to customise its email messages and incentives accordingly. Although we felt some incentives were over-generous at first, ultimately they returned increased revenue.
Results Achieved…
Compared with previous email campaigns executed by CGTrader, this campaign enjoyed significantly higher open and click rates. This led to increased activity from both buyers and sellers, resulting in higher revenue.
The project also proves that campaigns work with well structured, basic email templates, confirming people are primarily curious about content and the benefits to them.
We have unlocked 46% more revenue from our buyers and sellers while our campaigns performance improved by 130% in open rate, 79% in click-thru rate and 113% in conversion rate. Campaigns have been profitable even after counting-in all generous incentives provided to our customers.”
Dalia Lasaite, CEO – CGTrader, Lithuania
Customer acquisition revenue tripled
Craneballs Studios
Craneballs is a gaming studio based in the Czech Republic. They create popular action games for smartphones and tablets and often attract good ratings, ranking them highly in the gaming community.
Challenge
Business development manager, Matej Rejnoch, and his team had already heard about our successes before we met. During our initial conversation, we ascertained Craneballs’ biggest challenges centred around player acquisition and in-game monetisation. Since Craneballs is a startup, they needed to grow, so increased revenue was a primary goal.
We were provided with customer data from their game Overkill 2, and asked to show them what we could do.
Solution Applied
We ran our behavioural segmentation model on every financial transaction connected with Overkill 2 players. This helped us successfully identify VIP players – those who are the most
likely to make repeated in-game purchases, and who spend more money than the average player.
Equipped with this list, Craneballs created a custom Facebook audience and prepared two acquisition campaigns. The first campaign was as targeted as possible, the other was exactly the same but also targeted a lookalike audience derived from a custom audience prepared by us.
We let both campaigns run simultaneously for two weeks. Our campaign had more or less the same open, click and install rates and budget as the Craneballs campaign. But when we compared revenue from both campaigns, ours was clearly the winner.
Results Achieved…
Our method of running Facebook acquisition campaigns was proven to be very effective.
Through the Craneballs campaign, we increased revenue, profit and average in-game purchases.
In fact, 231% more revenue compared with previous attempts.
Our campaigns also show ROI increased by 45.8%.
In-game purchases increased by 63% due to our ability to find the ideal audience.
Compared to the best of our existing campaigns we have achieved 45.8% more ROI, 231% more revenue and 63% more purchases thanks to ability to find ideal audience.”
Matej Rejnoch, Business Development Manager – Craneballs Studios, Czech Republic
85% conversion increase
Bow & Drape
Bow & Drape promotes itself as “the brand that inspires smart, stylish women to make a statement.” We met CTO Chirag Nirmal in Boston, who was aware of the power of data and the potential personalisation could bring to their company.
Challenge
Bow & Drape was originally looking for a tool to help increase the duration of customer visits to the company website. After examining their Google Analytics, we agreed a 25% improvement of the Average Visit Duration metric would be a success.
Solution Applied
After analysing their business and web data, we proposed a website personalisation model.
With that goal in mind, we pulled data from Google Analytics and trained a predictive model on them. This model was able to identify which products were more likely to be purchased during each visitor’s session. Within a few days the model was applied directly to the Bow & Drape website as a “You may also like” section.
Results Achieved…
Not only was the initial goal achieved, visitors to the Bow & Drape website were so curious about the personalised offers, they spent almost 40% more time on site. Even better, visitors were then 85% more likely to make a purchase having clicked on a recommended product – A HUGE win for Bow & Drape!
The predictive model driven recommendation engine was super easy to implement, and we found recommendations are 85% more likely to lead to sales.”
Chirag Nirmal, CTO – Bow & Drape, USA
Case Studies
Case Studies
Why DE Data?
Our experience is helping companies to achieve significant results by turning their data into action.
66% increase in revenue from B2B sales
B2B Automotive Trading Company
This customer is a recognised B2B car trading company operating throughout the EU. Their rapidly growing business generates valuable data that we analysed and transformed into insights, giving them a competitive edge.
Challenge
The sales team’s knowledge of their B2B customers was limited, with the majority making sales calls with little to no information to hand. With only their intuition and judgement as a basis on which to work with each customer, they achieved an average revenue of approximately €13 per sales call.
Solutions Applied
1. Behavioural Prioritisation
We processed the company’s entire sales history from their ERP system, as well as their call duration records from the PBX system. Our models automatically prioritised customers by value and importance.
2. Predictive Product Recommendation
Our predictive model analysed historic customer behaviour and highlighted up to five cars each customer was most likely to purchase, allowing the team to focus on those vehicles with their respective clients.
3. Stock Ageing and Optimisation
We created an intelligent model comprising different criteria based on customer need against the age of stocked vehicles, so as to reduce devaluation over time. The model recommended which customers to call and when, as well as suggesting the most suitable vehicle to discuss on the call to avoid wasting their time and create the best first impression or build on existing customer relationships.
Results Achieved…
The sales team began receiving our daily recommendations which enabled them to work more effectively with their customers, including the best times to contact them.
It became apparent during our analysis the company’s contact list was riddled with inaccuracies, which had resulted in them contacting only every second or third lead. Since our adjustments, the average revenue per sales call increased to €21.60 from approx €13.
The results have been so convincing our models were integrated into the company CRM system, ensuring the team now works efficiently and consistently and, most importantly, in a personalised manner with their B2B customers.
75% increase in average order value
Hierbas Organicas
Hierbas Organicas (Organic Herbs) is a company dedicated to distribution of the best tea, herb and spice products. It was founded in 2013 to provide quality products to customers committed to eating a healthy diet to fuel the body.
Challenge
The challenge here was common in many small businesses. The company wanted a solution to enable them to provide a more personal service to their customers. At the same time, Hierbas Organicas wanted to nurture relationships with new customers, and hoped to increase the number of repeat buyers so as to achieve their desired growth targets.
Solutions Applied
1. Behavioural Segmentation
We processed their entire sales history and the system automatically recognised various customer categories and their corresponding revenue potentials. By discovering two particularly large groups of lapsed customers requiring activation, Hierbas Organicas CEO Jose Alberto Apezteguia immediately knew who to approach and how.
2. Predictive Product Recommendation
Our predictive model analysed past customer behaviour and suggested the top three products each customer is most likely to purchase. Detailed measurements indicated these recommendations were approximately 85% more likely to convert to sales compared to random product offerings.
3. Customer Retention Automation
After the initial analysis, Jose Alberto decided to receive weekly email recommendations to further enhance performance using our predictive product tool. We also identified the best days for communication, which resulted in Hierbas Organicas’s digital marketing working more effectively.
Results Achieved…
The CEO was blown away by the campaign’s results and the revenue it had generated. His expectations had been exceeded four fold.
Furthermore, we observed a 55% increase in email open rate and a 47% increase in click rate, higher than the results of previous campaigns. The company also registered an extraordinarily high number of orders from returning customers, which was their initial goal. This resulted in the highest customer loyalty the company had ever achieved after a campaign. It had almost doubled compared to the average impact of previous campaigns.
Last but not least, the Average Order Value (AOV) resulting from our campaigns was 75% higher than the AOV of other efforts to date.
The effectiveness of the personalized approach towards our customers exceeded my expectations.”
Jose Alberto Apezteguia, Founder – Hierbas Organicas, Mexico
46% more revenue
from buyers and sellers
CGTrader
CGTrader is a virtual marketplace for buying and selling 3D models, similar to those created in AutoCAD. This marketplace provides an opportunity for designers to monetise previously created models.
Challenge
Dalia Lasaite, CGTrader’s CEO, faced a tough challenge; how should she best spend her marketing budget to achieve the largest possible growth for the company?
Email marketing was their preferred channel, as incentives can greatly improve sales. In order to make this campaign as effective as possible, the company required more detailed customer information to enable them to create personalised, targeted offers.
Solution Applied
We processed CGTrader’s data in a similar way to that of Hierbas Organicas. However, this project was quite specific, as we created two behavioural categories for them, one for buyers and another for sellers to enable CGTrader to customise its email messages and incentives accordingly. Although we felt some incentives were over-generous at first, ultimately they returned increased revenue.
Results Achieved…
Compared with previous email campaigns executed by CGTrader, this campaign enjoyed significantly higher open and click rates. This led to increased activity from both buyers and sellers, resulting in higher revenue.
The project also proves that campaigns work with well structured, basic email templates, confirming people are primarily curious about content and the benefits to them.
We have unlocked 46% more revenue from our buyers and sellers while our campaigns performance improved by 130% in open rate, 79% in click-thru rate and 113% in conversion rate. Campaigns have been profitable even after counting-in all generous incentives provided to our customers.”
Dalia Lasaite, CEO – CGTrader, Lithuania
Customer acquisition revenue tripled
Craneballs Studios
Craneballs is a gaming studio based in the Czech Republic. They create popular action games for smartphones and tablets and often attract good ratings, ranking them highly in the gaming community.
Challenge
Business development manager, Matej Rejnoch, and his team had already heard about our successes before we met. During our initial conversation, we ascertained Craneballs’ biggest challenges centred around player acquisition and in-game monetisation. Since Craneballs is a startup, they needed to grow, so increased revenue was a primary goal.
We were provided with customer data from their game Overkill 2, and asked to show them what we could do.
Solution Applied
We ran our behavioural segmentation model on every financial transaction connected with Overkill 2 players. This helped us successfully identify VIP players – those who are the most
likely to make repeated in-game purchases, and who spend more money than the average player.
Equipped with this list, Craneballs created a custom Facebook audience and prepared two acquisition campaigns. The first campaign was as targeted as possible, the other was exactly the same but also targeted a lookalike audience derived from a custom audience prepared by us.
We let both campaigns run simultaneously for two weeks. Our campaign had more or less the same open, click and install rates and budget as the Craneballs campaign. But when we compared revenue from both campaigns, ours was clearly the winner.
Results Achieved…
Our method of running Facebook acquisition campaigns was proven to be very effective.
Through the Craneballs campaign, we increased revenue, profit and average in-game purchases.
In fact, 231% more revenue compared with previous attempts.
Our campaigns also show ROI increased by 45.8%.
In-game purchases increased by 63% due to our ability to find the ideal audience.
Compared to the best of our existing campaigns we have achieved 45.8% more ROI, 231% more revenue and 63% more purchases thanks to ability to find ideal audience.”
Matej Rejnoch, Business Development Manager – Craneballs Studios, Czech Republic
85% conversion increase
Bow & Drape
Bow & Drape promotes itself as “the brand that inspires smart, stylish women to make a statement”. We met CTO Chirag Nirmal in Boston, who was aware of the power of data and the potential personalisation could bring to their company.
Challenge
Bow & Drape was originally looking for a tool to help increase the duration of customer visits to the company website. After examining their Google Analytics, we agreed a 25% improvement of the Average Visit Duration metric would be a success.
Solution Applied
After analysing their business and web data, we proposed a website personalisation model.
With that goal in mind, we pulled data from Google Analytics and trained a predictive model on them. This model was able to identify which products were more likely to be purchased during each visitor’s session. Within a few days the model was applied directly to the Bow & Drape website as a “You may also like” section.
Results Achieved…
Not only was the initial goal achieved, visitors to the Bow & Drape website were so curious about the personalised offers, they spent almost 40% more time on site. Even better, visitors were then 85% more likely to make a purchase having clicked on a recommended product – A HUGE win for Bow & Drape!
The predictive model driven recommendation engine was super easy to implement, and we found the recommendations are 85% more likely to lead to sales.”
Chirag Nirmal, CTO – Bow & Drape, USA
66% increase in revenue from B2B sales
B2B Automotive Trading
This customer is a recognised B2B car trading company operating throughout the EU. Their rapidly growing business generates valuable data that we analysed and transformed into insights, giving them a competitive edge.
Challenge
The sales team’s knowledge of their B2B customers was limited, with the majority making sales calls with little to no information to hand. With only their intuition and judgement as a basis on which to work with each customer, they achieved an average revenue of approximately €13 per sales call.
Solutions Applied
1. Behavioural Prioritisation
We processed the company’s entire sales history from their ERP system, as well as their call duration records from the PBX system. Our models automatically prioritised customers by value and importance.
2. Predictive Product Recommendation
Our predictive model analysed historic customer behaviour and highlighted up to five cars each customer was most likely to purchase, allowing the team to focus on those vehicles with their respective clients.
3. Stock Ageing and Optimisation
We created an intelligent model comprising different criteria based on customer need against the age of stocked vehicles, so as to reduce devaluation over time. The model recommended which customers to call and when, as well as suggesting the most suitable vehicle to discuss on the call to avoid wasting their time and create the best first impression or build on existing customer relationships.
Results Achieved…
The sales team began receiving our daily recommendations which enabled them to work more effectively with their customers, including the best times to contact them.
It became apparent during our analysis the company’s contact list was riddled with inaccuracies, which had resulted in them contacting only every second or third lead. Since our adjustments, the average revenue per sales call increased to €21.60 from approx €13.
The results have been so convincing our models were integrated into the company CRM system, ensuring the team now works efficiently and consistently and, most importantly, in a personalised manner with their B2B customers.
75% increase in average order value
Hierbas Organicas
Hierbas Organicas (Organic Herbs) is a company dedicated to distribution of the best tea, herb and spice products. It was founded in 2013 to provide quality products to customers committed to eating a healthy diet to fuel the body.
Challenge
The challenge here was common in many small businesses. The company wanted a solution to enable them to provide a more personal service to their customers. At the same time, Hierbas Organicas wanted to nurture relationships with new customers, and hoped to increase the number of repeat buyers so as to achieve their desired growth targets.
Solutions Applied
1. Behavioural Segmentation
We processed their entire sales history and the system automatically recognised various customer categories and their corresponding revenue potentials. By discovering two particularly large groups of lapsed customers requiring activation, Hierbas Organicas CEO Jose Alberto Apezteguia immediately knew who to approach and how.
2. Predictive Product Recommendation
Our predictive model analysed past customer behaviour and suggested the top three products each customer is most likely to purchase. Detailed measurements indicated these recommendations were approximately 85% more likely to convert to sales compared to random product offerings.
3. Customer Retention Automation
After the initial analysis, Jose Alberto decided to receive weekly email recommendations to further enhance performance using our predictive product tool. We also identified the best days for communication, which resulted in Hierbas Organicas’s digital marketing working more effectively.
Results Achieved…
The CEO was blown away by the campaign results and the revenue it had generated. His expectations had been exceeded four fold.
Furthermore, we observed a 55% increase in email open rate and a 47% increase in click rate, higher than the results of previous campaigns. The company also registered an extraordinarily high number of orders from returning customers, which was their initial goal. This resulted in the highest customer loyalty the company had ever achieved after a campaign. It had almost doubled compared to the average impact of previous campaigns.
Last but not least, the Average Order Value (AOV) resulting from our campaigns was 75% higher than the AOV of other efforts to date.
The effectiveness of the personalized approach towards our customers exceeded my expectations.”
Jose Alberto Apezteguia, Founder
Hierbas Organicas, Mexico
46% more revenue
from buyers and sellers
CGTrader
CGTrader is a virtual marketplace for buying and selling 3D models, similar to those created in AutoCAD. This marketplace provides an opportunity for designers to monetise previously created models.
Challenge
Dalia Lasaite, CGTrader’s CEO, faced a tough challenge; how should she best spend her marketing budget to achieve the largest possible growth for the company?
Email marketing was their preferred channel, as incentives can greatly improve sales. In order to make this campaign as effective as possible, the company required more detailed customer information to enable them to create personalised, targeted offers.
Solution Applied
We processed CGTrader’s data in a similar way to that of Hierbas Organicas. However, this project was quite specific, as we created two behavioural categories for them, one for buyers and another for sellers to enable CGTrader to customise its email messages and incentives accordingly. Although we felt some incentives were over-generous at first, ultimately they returned increased revenue.
Results Achieved…
Compared with previous email campaigns executed by CGTrader, this campaign enjoyed significantly higher open and click rates. This led to increased activity from both buyers and sellers, resulting in higher revenue.
The project also proves that campaigns work with well structured, basic email templates, confirming people are primarily curious about content and the benefits to them.
We have unlocked 46% more revenue from our buyers and sellers while our campaigns performance improved by 130% in open rate, 79% in click-thru rate and 113% in conversion rate. Campaigns have been profitable even after counting-in all generous incentives provided to our customers.”
Dalia Lasaite, CEO
CGTrader, Lithuania
Customer acquisition revenue tripled
Craneballs Studios
Craneballs is a gaming studio based in the Czech Republic. They create popular action games for smartphones and tablets and often attract good ratings, ranking them highly in the gaming community.
Challenge
Business development manager, Matej Rejnoch, and his team had already heard about our successes before we met. During our initial conversation, we ascertained Craneballs’ biggest challenges centred around player acquisition and in-game monetisation. Since Craneballs is a startup, they needed to grow, so increased revenue was a primary goal.
We were provided with customer data from their game Overkill 2, and asked to show them what we could do.
Solution Applied
We ran our behavioural segmentation model on every financial transaction connected with Overkill 2 players. This helped us successfully identify VIP players – those who are the most
likely to make repeated in-game purchases, and who spend more money than the average player.
Equipped with this list, Craneballs created a custom Facebook audience and prepared two acquisition campaigns. The first campaign was as targeted as possible, the other was exactly the same but also targeted a lookalike audience derived from a custom audience prepared by us.
We let both campaigns run simultaneously for two weeks. Our campaign had more or less the same open, click and install rates and budget as the Craneballs campaign. But when we compared revenue from both campaigns, ours was clearly the winner.
Results Achieved…
Our method of running Facebook acquisition campaigns was proven to be very effective.
Through the Craneballs campaign, we increased revenue, profit and average in-game purchases.
In fact, 231% more revenue compared with previous attempts.
Our campaigns also show ROI increased by 45.8%.
In-game purchases increased by 63% due to our ability to find the ideal audience.
Compared to the best of our existing campaigns we have achieved 45.8% more ROI, 231% more revenue and 63% more purchases thanks to ability to find ideal audience.”
Matej Rejnoch, Business Development Manager
Craneballs Studios
Czech Republic
85% conversion increase
Bow & Drape
Bow & Drape promotes itself as “the brand that inspires smart, stylish women to make a statement.” We met CTO Chirag Nirmal in Boston, who was aware of the power of data and the potential personalisation could bring to their company.
Challenge
Bow & Drape was originally looking for a tool to help increase the duration of customer visits to the company website. After examining their Google Analytics, we agreed a 25% improvement of the Average Visit Duration metric would be a success.
Solution Applied
After analysing their business and web data, we proposed a website personalisation model.
With that goal in mind, we pulled data from Google Analytics and trained a predictive model on them. This model was able to identify which products were more likely to be purchased during each visitor’s session. Within a few days the model was applied directly to the Bow & Drape website as a “You may also like” section.
Results Achieved…
Not only was the initial goal achieved, visitors to the Bow & Drape website were so curious about the personalised offers, they spent almost 40% more time on site. Even better, visitors were then 85% more likely to make a purchase having clicked on a recommended product – A HUGE win for Bow & Drape!
The predictive model driven recommendation engine was super easy to implement, and we found the recommendations are 85% more likely to lead to sales.”
Chirag Nirmal, CTO
Bow & Drape, USA
Take the first step
I need to UNDERSTAND
my customers
I need to RETAIN
more customers
I need to DELIGHT my
customers with insights
Take the first step
I need to UNDERSTAND
my customers
I need to RETAIN
more customers
I need to DELIGHT my
customers with insights