Mijdrecht, Utrecht, Netherlands
Hi, I'm Joost The Content Decoder and I help businesses of any size with their semantic SEO. I've learned from Koray Tuğberk GÜBÜR, Bill Slawski, and by reading Google's patents to uncover how to communicate with search engines and get your site ranked higher. I used to be a data scientist for Vivat, one of the largest insurance companies in the Netherlands, before I started my own digital publishing company. I've learned to bring machine learning to improve SEO processes and uncover unique data to decode how search engines see your content with analytics, data science, and semantic SEO. Send me a message about your project. I'm always happy to talk shop and perhaps we can work together :)
As a business economist by trade, I always wanted to start my own company. But I started my career in customer service, coaching en after that marketing and analysis in the corporate world. With these tools in my pocket I started Decision Tree Online Services, first a Content Marketing Agency creating content for others, and now a Digital Media Company with our own sites. With my team, we create helpful articles that assist people in finding answers to their question online. Like what the best toys are, or what astonishing culinary arts came from the Muromachi period. My passion lies in analyzing opportunities, setting up A/B and multivariate tests and getting my websites ready for optimal discoverability and conversion. In working with my team of writers, editors, video creators, and image professionals I can use all of the experiences from the corporate world. I can coach on the structure and method of operation, and on writing the best possible content. As soon as you get it down into a process, you can start outsourcing some of the work. That’s why I work Agile in Kanban with Trello.
auto-artikel.ai is an AI writing platform that writes full blog posts in Dutch for bloggers and content marketers.
Created actionable insights in customer segmentation for the different insurance labels of VIVAT in order to personalize customer interactions. Successes include: Implementing PEGA Next Best Actions within the Vivat Contact Center from ideation to technical implementation as the lead Decisioning Consultant on the project. With this implementation, Vivat customer service representatives are now able to see the top offers on a per customer bases to extend their phone conversations with a relevant next action. This implementation was built future proof to be able to use the same strategies within PEGA marketing for future web implementations. Creation and implementation of a favorite sendtime for our customer base using our customer database and R programming to determine the best time to send an email to individual customers, resulting in a 1% point overall uplift in click rates. Optimizing our digitalization budget for outbound calls by using a machine learning model to find similar audiences to the customers who were willing to provide their email address for future communications over phone, resulting in a 35% cost reduction of CPA. Email marketing segmenting and analysis of customer churn campaign where I created a PowerBI dashboard to follow the entire flow from sending of the email and reminders to open and clickrate and sentiment, to the actual conversions on the website. Implementing linktag strategy for building a customer email preference profile. Implementing a bouncemanagement strategy.
Created valuable insights in our current portfolio and made knowledgeable recommendations on where to optimize our product and agent mix, providing the department with actionable insights and ensure we, as a department, reach our target CoR. Forecast model. Implemented a comprehensive forecast model for predicting the impact of our current measures, combined with actual results and making recommendations, resulting in several data driven changes to implementation of measures, reducing customer churn and increasing CoR Optimizing portfolio. Pro-actively searched for possible measures, like creating our optimal portfolio mix within achievable boundaries Dashboards. Providing our account managers with information about their portfolios (totalling 265Mio) to ensure they can focus on getting more profitable business in and limit losses on current portfolio segments Data quality. Improving data flow and quality of Solvency II data, working with internal and external IT-specialists and managing director’s
Created dashboards and performed financial and commercial analysis to support sales, marketing and product development and provided the data to influence strategic decisions. Worked closely with internal stakeholders as well as Financial- and Operational Executives of our partner insurance companies to gain portfolio (totalling 76Mio) insights and make pricing agreements. Dashboards. Created comprehensive dashboards and reports in excel, visualizing the performance of our largest partners and ultimately automating data flow by adding Qlikview reports, reducing monthly development time by 65% Bad brothers. Reducing error and automating dashboards for determining bad brothers and choosing the optimal measure
Oversaw multiple of the Fourplus projects and managed both 40 call agents and 3 jr. Supervisors. Maximized conversion rates and customer satisfaction for all of our in- and outbound projects by analyzing and coaching. Reducing burn rate. Burn rate of bought call sheets was a big issue at the time of implementation of the “don’t call me register” and for semi-cold calls and warm calls. Reduced burn rate by both increasing conversion and analyzing optimal call time, testing different scripts and analyzed the optimal revenue per project, which led to an increase of 38% in overall project profitability Customer Satisfaction. Tested and implemented a Business Case for our largest inbound client in the extra cost of reducing call response time and increased customer satisfaction which increased the cost by 3,7% while increasing customer satisfaction for service by 12,3%