Commercial transformation.

CommercialTransformation.Digital execution.

Senior commercial leader combining customer strategy, sales channels, data and technology.

Telecom · Energy · Digital Business

The Hague · Netherlands · DACH & Benelux

Raymond Löhr in a navy suit, holding his glasses, smiling towards the camera

Experience across

  • Unilever
  • KPN
  • France Telecom
  • Liberty Global
  • Vodafone
  • badenova
  • Sky

My approach

I work where commercial strategy, customer behaviour, operations and technology meet.

My career has taken me from data analysis and product management to international sales leadership, customer retention, energy retail and digital business.

Today I combine that commercial experience with hands-on work in data, AI and software development.

Selected work

Problems I have worked on — and how I approached them.

01

Rebuilding commercial steering at badenova

  • Energy
  • Sales channels
  • Customer value
  • BI

badenova faced pressure from low-cost online competitors and needed stronger commercial steering across web, online partners, telemarketing, field sales, retail, B2B account management and Customer Care.

The operating model was shifted toward commercial effectiveness, customer attachment, customer value and partner quality.

View case study

Context

A mid-sized German municipal utility headquartered in Freiburg, with around 400,000 retail customers, supplying gas, electricity and drinking water to business and residential customers. badenova was under pressure from online low-cost providers and lacked appeal to younger customers.

Responsibility

Within the badenova energy retail subsidiary: steering the sales channels — web, online partners, telemarketing, field sales, retail, B2B account management and Customer Care — and Product Marketing (proposition, pricing, sales and consumption planning).

Starting point

  1. Internal stakeholders: an inventory of performance, plans and pain points.
  2. Sales channels: a light audit of performance, planning, issues, steering and finances.
  3. Operations and customer experience first-hand: listening in at contact centres, reviewing complaints, visiting sales partners and joining door-to-door sales in the field.

Mission

  1. Grow healthily by shifting focus to channels that are commercially effective and create positive customer attachment.
  2. Accelerate innovation with detailed, current customer performance data — cut by channel, partner, customer service, product and discount.
  3. Align sales commissions with real effort, risk and long-term financial customer value.
  4. Actively reduce customer loss in the first 15 months after contract signature.

Selected initiatives

  1. Reporting extended into a Qlik BI system, connected to SAP, Salesforce, the telephone system, commission database, customer service and partners.
  2. Face-to-face performance pre-review and review cycles for all sales channels.
  3. An “incubator” set-up for fast tests with new sales channels — business case, contract, remuneration, reporting and quality feedback.
  4. Sales and quality insight at agent level, including at partners.
  5. A “commerce in customer service” task force around one question: how do we reduce the loss of new customers by a quarter?
  6. Customer experience tracking: where and why customers stumble.
  7. Telephone routing differentiated by customer value.
  8. Unprofitable partners discontinued.
  9. Active management of poorly performing agents at external partners.
  10. The sales landscape strengthened with a new website, affiliates and comparison sites; real-time indicators for early cancellations, bad debt and net present customer value.

02

Making retention more individual at Sky

  • Retention
  • Customer value
  • Partner performance
  • Data

Customer retention was a major strategic process at Sky Broadcasting.

Working across Marketing and Finance, I helped develop a more individualised customer approach while improving the quality and steering of external sales partners.

Performance data, closer partner management and remuneration strategy were part of the work.

View experience

03

From business problem to working software

  • AI
  • Python
  • Django
  • Automation

For a mid-sized executive-search business, I developed a new positioning aimed at medium-sized manufacturing companies and built an AI / Open Source Intelligence tool to identify, qualify and selectively approach potential business prospects.

  1. Understand the commercial problem
  2. Design the process
  3. Build the solution
Explore project

The problem

A mid-sized executive-search firm had lost two strategic clients and needed a new source of business.

The positioning

A new commercial focus on medium-sized manufacturing companies.

The solution

An AI / Open Source Intelligence tool that identifies and qualifies business prospects automatically and at no cost — so they are approached selectively, only when there is concrete value to offer.

Career

Experience

  1. — now

    Löhr Management Services BV

    Digital marketing & sales projects for various clients

  2. —

    Sky Broadcasting

    Program Manager Customer Retention

  3. —

    badenova Energy Services

    Chief Commercial Officer

  4. —

    Vodafone Germany

    Director Customer Retention Operation and OPS Strategy

  5. —

    Liberty Global InternationalUPC Broadband

    Vice President Sales

  6. —

    France Telecom NVCasema / Wanadoo

    Manager Sales Residential

  7. —

    KPN Telecom NV

    Product Manager Digital / Account Manager Mobile

  8. —

    Unilever Research NV

    Data Analyst

Technology

Technology is
part of how I work.

Not a separate IT career. I use technology when it provides a better way to understand customers, automate work, improve decision-making or build a new commercial capability.

  • Data, analytics & models

    From operational data to models that support commercial decisions.

    Introduced and drove business intelligence at Liberty Global, Vodafone, badenova and Sky — to align teams, accelerate innovation and understand what drives customer value.

    Hands-on data science: text-classification models built with scikit-learn, evaluated on precision, recall and F1.

    • SQL
    • PostgreSQL
    • pandas
    • scikit-learn
    • NLTK
    • Jupyter
    • Qlik
    • Power BI
  • AI & automation

    LLM-based processing and classification, in local and cloud-based workflows.

    An AI-driven prospecting tool that identifies and qualifies business prospects.

    Open Source Intelligence (OSINT): company and market data from public registers and open-data APIs — KVK Handelsregister, CBS, PDOK and data.overheid.nl — enriched and analysed with LLMs.

    • OpenAI
    • Claude
    • Mistral
    • OSINT
    • Open data APIs
    • Playwright
  • Web & business integration

    Websites that work as part of the business, connected to the systems behind them.

    Django back ends and React front ends, connected through REST APIs, with background processing for data exchange between web and business systems.

    • Python
    • Django
    • Celery
    • Redis
    • REST APIs
    • JavaScript
    • React
  • Digital marketing & analytics

    Measuring what drives online sales, and acting on it.

    Digital marketing & sales projects for various clients through Löhr Management Services.

    Designed and built verhuizer.eu (opens in a new tab): a lead platform for the Dutch moving market — consumers compare quotes for free, movers pay per lead. Growth through SEO content, transparent pricing and a low-friction quote funnel.

    • Lead generation
    • SEO
    • Google Ads
    • Google Analytics 4
    • Umami
    • Social media
  • Private infrastructure

    A secure, private stack for companies that cannot or will not work with public cloud services.

    Data, applications and AI stay on infrastructure you control — from Linux servers and virtual machines up to local AI workflows, file sharing and secure remote access.

    • Ubuntu Linux
    • KVM
    • VPN
    • Firewalls
    • Reverse proxies
    • DNS
    • Nextcloud
    • Local AI

Certified training

  • Python Programming for Developers2022
  • The Ultimate Django Series, Parts 1–32021–2022
  • Mastering React2021
  • The Ultimate React Native Series: Fundamentals2022
  • The Ultimate HTML5 & CSS3 Series, Parts 1–22022

Software development courses by Code with Mosh. Further certificates in digital marketing, SEO, social media, Google Ads and Google Analytics (GA4).

Raymond Löhr in a white shirt, seated in front of a brick wall, smiling during a conversation

About Raymond

Commercial results through people, partners and technology.

I started my career in data analysis and moved through product management, sales, channel leadership and customer operations into senior commercial management.

Across telecom and energy, a recurring theme has been the same: understanding what creates sustainable customer value and translating that into operating models, partner structures, data and practical execution.

More recently, that has increasingly included building the underlying technology myself.

Education
Commercial Economics · BBA
Languages
Dutch · German (C1) · English

Contact

Have a commercial problem that needs more than a slide deck?

Commercial transformation · Customer value · Digital execution

Or write directly to raymond@lohr.nl