


Key insights
The Problem: Paulmann was losing sales as customers got overwhelmed choosing from 2,500+ lighting products with only basic filters.
The Solution: Guiding customers to the right products through personalized recommendations instead of overwhelming filter options
The Results: 26.5% increase in average order value, 7.7% conversion rate (3x industry average), and €232,000 in revenue after just 5 months.
The Future: With 94% interaction rates and email lead capture, Paulmann can expand personalized marketing and scale to more product categories.
The Problem: Paulmann was losing sales as customers got overwhelmed choosing from 2,500+ lighting products with only basic filters.
The Solution: Guiding customers to the right products through personalized recommendations instead of overwhelming filter options
The Results: 26.5% increase in average order value, 7.7% conversion rate (3x industry average), and €232,000 in revenue after just 5 months.
The Future: With 94% interaction rates and email lead capture, Paulmann can expand personalized marketing and scale to more product categories.
The Problem: Paulmann was losing sales as customers got overwhelmed choosing from 2,500+ lighting products with only basic filters.
The Solution: Guiding customers to the right products through personalized recommendations instead of overwhelming filter options
The Results: 26.5% increase in average order value, 7.7% conversion rate (3x industry average), and €232,000 in revenue after just 5 months.
The Future: With 94% interaction rates and email lead capture, Paulmann can expand personalized marketing and scale to more product categories.
The Challenge
From competitive advantage to conversion barrier
Paulmann Licht faced a classic e-commerce paradox: After 47 years of growth into a successful international lighting company, their strength had become their weakness. With over 2,500 high-quality products across 40+ countries, their extensive catalog was overwhelming customers rather than helping them.
Visitors to their online shop encountered a daunting selection process. For recessed lighting alone – one of Paulmann's core product categories – customers had to navigate through 20 different filters across 15 pages of product listings.
The problem was particularly acute for uncertain buyers who weren't sure exactly what type of lighting they needed. These potential customers – often the most valuable as they're open to comprehensive solutions – were getting lost in the sea of options. Instead of receiving helpful guidance, they faced abstract product specifications and technical jargon that made decision-making even harder.
This created a significant business impact: Paulmann's extensive product range, which should have been a competitive advantage, was actually driving customers away and reducing conversion rates. The traditional filter-based navigation wasn't sufficient to bridge the gap between customer needs and product offerings.
The Challenge
From competitive advantage to conversion barrier
Paulmann Licht faced a classic e-commerce paradox: After 47 years of growth into a successful international lighting company, their strength had become their weakness. With over 2,500 high-quality products across 40+ countries, their extensive catalog was overwhelming customers rather than helping them.
Visitors to their online shop encountered a daunting selection process. For recessed lighting alone – one of Paulmann's core product categories – customers had to navigate through 20 different filters across 15 pages of product listings.
The problem was particularly acute for uncertain buyers who weren't sure exactly what type of lighting they needed. These potential customers – often the most valuable as they're open to comprehensive solutions – were getting lost in the sea of options. Instead of receiving helpful guidance, they faced abstract product specifications and technical jargon that made decision-making even harder.
This created a significant business impact: Paulmann's extensive product range, which should have been a competitive advantage, was actually driving customers away and reducing conversion rates. The traditional filter-based navigation wasn't sufficient to bridge the gap between customer needs and product offerings.
The Challenge
From competitive advantage to conversion barrier
Paulmann Licht faced a classic e-commerce paradox: After 47 years of growth into a successful international lighting company, their strength had become their weakness. With over 2,500 high-quality products across 40+ countries, their extensive catalog was overwhelming customers rather than helping them.
Visitors to their online shop encountered a daunting selection process. For recessed lighting alone – one of Paulmann's core product categories – customers had to navigate through 20 different filters across 15 pages of product listings.
The problem was particularly acute for uncertain buyers who weren't sure exactly what type of lighting they needed. These potential customers – often the most valuable as they're open to comprehensive solutions – were getting lost in the sea of options. Instead of receiving helpful guidance, they faced abstract product specifications and technical jargon that made decision-making even harder.
This created a significant business impact: Paulmann's extensive product range, which should have been a competitive advantage, was actually driving customers away and reducing conversion rates. The traditional filter-based navigation wasn't sufficient to bridge the gap between customer needs and product offerings.
The Transformation
The mindset shift: from more choice to right choice
Paulmann recognized they needed to fundamentally change how customers experienced their product catalog. The traditional approach of presenting all options upfront and letting customers figure it out themselves was failing.
Instead of adding more filters or reorganizing product pages, Paulmann took a different approach: they decided to recreate the in-store consultation experience digitally. Rather than overwhelming visitors with choices, they would guide them through a personalized discovery process.
The key insight was shifting from a product-centric to a customer-centric approach. Instead of asking customers to understand technical specifications and product categories, Paulmann would ask about their actual needs, preferences, and use cases.
This meant moving away from the assumption that more choice equals better customer experience. Instead, they embraced the principle that the right choice, presented at the right time, creates the best outcome for both customer and business.
The transformation required rethinking the entire customer journey – from initial product discovery through to final purchase decision.
The Transformation
The mindset shift: from more choice to right choice
Paulmann recognized they needed to fundamentally change how customers experienced their product catalog. The traditional approach of presenting all options upfront and letting customers figure it out themselves was failing.
Instead of adding more filters or reorganizing product pages, Paulmann took a different approach: they decided to recreate the in-store consultation experience digitally. Rather than overwhelming visitors with choices, they would guide them through a personalized discovery process.
The key insight was shifting from a product-centric to a customer-centric approach. Instead of asking customers to understand technical specifications and product categories, Paulmann would ask about their actual needs, preferences, and use cases.
This meant moving away from the assumption that more choice equals better customer experience. Instead, they embraced the principle that the right choice, presented at the right time, creates the best outcome for both customer and business.
The transformation required rethinking the entire customer journey – from initial product discovery through to final purchase decision.
The Transformation
The mindset shift: from more choice to right choice
Paulmann recognized they needed to fundamentally change how customers experienced their product catalog. The traditional approach of presenting all options upfront and letting customers figure it out themselves was failing.
Instead of adding more filters or reorganizing product pages, Paulmann took a different approach: they decided to recreate the in-store consultation experience digitally. Rather than overwhelming visitors with choices, they would guide them through a personalized discovery process.
The key insight was shifting from a product-centric to a customer-centric approach. Instead of asking customers to understand technical specifications and product categories, Paulmann would ask about their actual needs, preferences, and use cases.
This meant moving away from the assumption that more choice equals better customer experience. Instead, they embraced the principle that the right choice, presented at the right time, creates the best outcome for both customer and business.
The transformation required rethinking the entire customer journey – from initial product discovery through to final purchase decision.
The Solution
From 20 filters to 8 questions: simplifying product discovery
Paulmann implemented a digital buying advisor that replaces complex filtering with a few simple, intuitive questions. Instead of navigating technical specifications, customers answer questions about their actual needs and preferences.
The system works like having a knowledgeable sales consultant in the digital store. It processes customer inputs to deliver personalized product recommendations tailored to individual requirements, using intelligent question logic that adapts based on previous answers.
Key features include visual aids to help communicate preferences and a "Save for Later" function that emails customers their top 3 recommendations. This serves dual purposes: customer convenience and GDPR-compliant lead generation through double opt-in email collection.
The approach transforms overwhelming choice into guided discovery, creating an experience that mimics expert in-store consultation but delivers results faster and more efficiently.
The Solution
From 20 filters to 8 questions: simplifying product discovery
Paulmann implemented a digital buying advisor that replaces complex filtering with a few simple, intuitive questions. Instead of navigating technical specifications, customers answer questions about their actual needs and preferences.
The system works like having a knowledgeable sales consultant in the digital store. It processes customer inputs to deliver personalized product recommendations tailored to individual requirements, using intelligent question logic that adapts based on previous answers.
Key features include visual aids to help communicate preferences and a "Save for Later" function that emails customers their top 3 recommendations. This serves dual purposes: customer convenience and GDPR-compliant lead generation through double opt-in email collection.
The approach transforms overwhelming choice into guided discovery, creating an experience that mimics expert in-store consultation but delivers results faster and more efficiently.
The Solution
From 20 filters to 8 questions: simplifying product discovery
Paulmann implemented a digital buying advisor that replaces complex filtering with a few simple, intuitive questions. Instead of navigating technical specifications, customers answer questions about their actual needs and preferences.
The system works like having a knowledgeable sales consultant in the digital store. It processes customer inputs to deliver personalized product recommendations tailored to individual requirements, using intelligent question logic that adapts based on previous answers.
Key features include visual aids to help communicate preferences and a "Save for Later" function that emails customers their top 3 recommendations. This serves dual purposes: customer convenience and GDPR-compliant lead generation through double opt-in email collection.
The approach transforms overwhelming choice into guided discovery, creating an experience that mimics expert in-store consultation but delivers results faster and more efficiently.
The results
The results
Key learnings
1. Choice Overload is Real Revenue Killer:
Too many options without guidance creates decision paralysis. Large product catalogs need smart navigation, not just more filters.
2. Customer Language ≠ Product Language:
Customers think in terms of needs and use cases, not technical specifications. Ask about their problems, not your product features.
3. Personalization Creates Double Value: Guided shopping experiences boost conversion rates while simultaneously generating qualified leads for ongoing marketing efforts.
1. Choice Overload is Real Revenue Killer:
Too many options without guidance creates decision paralysis. Large product catalogs need smart navigation, not just more filters.
2. Customer Language ≠ Product Language:
Customers think in terms of needs and use cases, not technical specifications. Ask about their problems, not your product features.
3. Personalization Creates Double Value: Guided shopping experiences boost conversion rates while simultaneously generating qualified leads for ongoing marketing efforts.
1. Choice Overload is Real Revenue Killer:
Too many options without guidance creates decision paralysis. Large product catalogs need smart navigation, not just more filters.
2. Customer Language ≠ Product Language:
Customers think in terms of needs and use cases, not technical specifications. Ask about their problems, not your product features.
3. Personalization Creates Double Value: Guided shopping experiences boost conversion rates while simultaneously generating qualified leads for ongoing marketing efforts.
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© Copyright 2025 Neo Commerce GmbH