Qualimero×Pooldoktor
Success Story · Pool & Wellness

How Pooldoktor lifts incremental revenue per visitor by 18.75% with AI product consultation

Advice-intensive products, a +117% seasonal peak, a team of ten: how the Linz-based pool specialist automated its product consultation with Franz. Causally measured in an A/B test.

+18.75%

Incremental revenue per visitor

causally measured in an A/B test, avg. over 6 months

33×

Return on Investment

13 sec

Avg. webchat response time

Executive Summary

Expert-level consultation, decoupled from headcount.

Pooldoktor faced a structural capacity problem: highly advice-intensive products, a seasonal demand peak of +117% and a team of ten. Roughly half of all chat inquiries were deep product consultation that requires decades of pool experience.

Together with Qualimero, the company implemented the AI product consultant Franz. Six months after go-live, he answers these inquiries in 13 seconds on average, around the clock and at the expertise level of the team. Causally measured incremental revenue per visitor is +18.75% versus the control group, with a return on investment of 33 times.

The client

A family business with premium positioning.

Pooldoktor Handels GmbH, based in Linz, Austria, is a family-run specialist for pool self-build with 13,500 pools sold since its founding in 2005.

The range covers complete self-build: basins in five construction types (styrofoam, steel wall, PP, stainless steel, wood), plus covers, liners, water care and saunas, alongside the own brand Poolripp. Customers save 30 to 50 percent versus a contractor-built pool.

The business model rests on premium positioning: Decades of expert consultation, not the box price, is the central competitive advantage.

13,500

pools sold since 2005

2,650 m²

showroom in Linz

4.6 ★

Trustpilot · 154 reviews

38,600

visits/month (April 2026)

€4–5k

AOV pool set

The starting point

Three structural challenges

01

Consultation intensity as a scaling bottleneck

Pool self-build needs explaining. "As the name self-build suggests, it requires explanation", says managing director Mario Wunder. The typical customer inquiry is not an FAQ but a multi-dimensional expert question about basin geometry, wall system, water treatment and build sequence, requiring decades of industry experience.

Of roughly 1,200 monthly conversations, 50 percent are deep product consultation and another 22 percent are application support around water chemistry. Outside business hours these inquiries went unanswered: at an average order value of around 5,000 euros, that is a directly quantifiable revenue loss to the competition.

02

Seasonal demand peaks without a scalable workforce

The core business concentrates on March through September, with traffic peaks of +117% versus the low season. Seasonal hiring of qualified pool experts was neither economically viable nor realistic on the labor market: the required expertise builds over years and cannot be recruited at short notice.

03

A failed first AI attempt

Pooldoktor had already invested in a chatbot. "It could not even read our domain", says Mario Wunder. The system neither captured the product data reliably nor could it draw controlled boundaries around safety-critical topics such as structural engineering.

The consequence was not a rejection of AI but a higher bar: a solution had to verifiably reach the consultation level of the team, otherwise it would be counterproductive in sales.

The approach

Five design principles of the implementation.

The decision for Qualimero was made in December 2025. Go-live followed in January 2026, after 4.5 hours of implementation effort on the client side.

Domain exclusivity.

Franz is trained exclusively on Pooldoktor sources: product catalog, build and care manuals. Inquiries outside his area of competence are not answered but delimited in a controlled way.

Liability-oriented guardrails.

Structural engineering, electrical work, damage analysis and self-build suitability are excluded from the AI consultation scope and transparently referred to qualified professionals.

Response speed as a product requirement.

An average response time of 13 seconds, around the clock, measured across all conversations in live operation.

Integration at the point of sale.

Franz is natively embedded in webchat and WhatsApp, within the Pooldoktor brand and without media breaks in the buying process.

Causal impact measurement from day one.

An A/B test with a control group (90/10 split) ran from the start. Revenue impact is reported monthly against the control group.

The impact

Three effects after six months of live operation.

Consultation capacity is decoupled from headcount

Roughly 1,200 conversations per month are handled at expert level, including seasonal peaks and outside business hours. The team focuses on closing and special cases.

Revenue impact is verifiable every month

The causal incremental revenue is reported against the control group in every monthly report. The investment decision remains continuously validated by data.

A clear line of responsibility between AI and expert team

Safety-critical topics such as structural engineering and electrical work stay with the team. The delimitation is documented and traceable at any time.

Franz live as webchat on pooldoktor.com

Franz live on pooldoktor.com, bottom right in the webchat, inside the shop brand context.

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The numbers

Averages over six months of live operation.

No "up to" values and no best case: causally measured in an A/B test with a control group.

Franz

Franz

Pool product consultant

  • Scope

    Pool consultation & sales

  • Live since

    January 2026

  • Channels

    Webchat + WhatsApp

  • Languages

    100+

  • Incremental revenue per visitor vs. control

    +18.75%1

  • Return on Investment

    33×2

  • Conversations per month

    1,1613

  • Avg. response time

    13 sec4

  • Chat-to-checkout

    19%5

  • Topics

    50 / 22 / 8%6

  • Satisfaction

    7.6 / 107

  1. 1A/B test 90/10, 2,214 buyers across 136,183 treatment users; strongest single month: +22%
  2. 2gross revenue treatment minus control, divided by Qualimero costs
  3. 3webchat + WhatsApp combined
  4. 4measured across all conversations
  5. 5from started chat to completed order
  6. 6product consultation / application support / sales, classified via conversation analysis
  7. 7chat-end survey

What Pooldoktor evaluated

Five criteria. All met.

Pooldoktor had already invested in a chatbot once. Before the second investment, a clear evaluation matrix was on the table.

“Chat in sales is basically nonsense. It only works if you replace it with AI. That is exactly what Qualimero built.”

Mario Wunder

Mario Wunder

Managing Director, Pooldoktor Handels GmbH

Pooldoktor
Franz advising on filter cross spare parts for a sand filter system

Franz at work: spare-part consultation for a MONO 500 sand filter system, with concrete product cards and prices right in the conversation.

Transferability

A recurring pattern in advice-intensive e-commerce.

Where depth of consultation is the central competitive advantage, it is also the central scaling bottleneck. Pool buyers do their research in the evening; whoever gets no answer then buys from a competitor the next morning.

AI-supported product consultation resolves this conflict, provided it reaches expert level, draws controlled boundaries around liability risks and proves its impact causally.

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Your AI employee. Live in seconds.

Trained on your products. In your brand.

A/B test with control group — revenue lift measurable.

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