Do customers want flexible prices or predictability above all? A qualitative study with 1,000+ participants on readiness, barriers, and trust in dynamic energy tariffs.
Only 11% have a clear understanding. Another 41% know the term vaguely. The concept has not arrived with end customers.
Loss aversion dominates perception. Even respondents who clearly understand dynamic tariffs share this concern at 69%.
Safety beats opportunity. 33% prefer the chance of lower costs - and 82% of them want it without any conditions.
Only 5% of households actively use a dynamic electricity tariff today. But the structural transformation is already underway: from smart meters to intelligent control boxes. Anyone who wants to shape this transformation must now engage with the concrete needs of customers within this new infrastructure. Only those who understand how people want to use this technology in daily life can build solutions that grow beyond the niche.
The information strategy must separate two worlds: households with EVs, heat pumps, or PV systems seek savings potential and control. Everyone else needs orientation first - what is a dynamic tariff and what does it mean for daily life?
I've heard of it before, but I can't really explain it.
The majority is not won through price arguments, but through control, transparency, and simple automation. Anyone who only bets on savings alienates exactly the majority that will decide the market.
I would feel like I'm investing in stocks, and I have no interest in that.
Some results confirm assumptions - the decisive ones contradict them.
We confronted participants with the scenario: 15-20% savings in exchange for accepting flexible consumption times. How do they react?
I don't need absolute predictability. The chance of lower costs is more important to me - I like taking such chances.
8% see room to shift their consumption in time without notable restrictions. 33% see no way to shift, 36% deflect or only discuss price.
→ Maximum potential of a purely dynamic variant: 9%.
22% already think in consumption windows - but only join in if the conditions are right: price caps, guaranteed savings windows, clear if-then logic.
→ Secured variant: 31% market. 3.4× larger than the direct market.
The study identifies four clearly distinct segments - from the structurally excluded customer to the unconditional self-decider.
Structurally excluded from the model - work, family, and a fixed daily routine make load-shifting practically impossible. They reject it clearly.
Full profile in the study.
Full profile in the study.
Full profile in the study.
Full profiles, drivers, and action recommendations for each segment are included in the full study.
Six dimensions that determine whether dynamic tariffs succeed or fail in the market.
Safety beats bargains. Customers prioritize predictability over the absolute lowest price – but which safety needs dominate in which segment?
Dynamic tariffs are known and partially negatively charged. Skepticism and diffuse risk associations dominate the first reaction. Which narratives work in which customer segments, which communication approaches build trust, and where does resistance arise.
The fear of additional costs overshadows statistically provable savings. Loss aversion dominates decision logic. Volto AI makes these psychological patterns segment-specifically visible – so providers know whom to address how and when.
Trust is not built through price, but through control mechanisms: price caps, transparency, clear if-then logic. Volto AI qualitatively captures which safety anchors actually work in which segments – and separates real drivers from assumptions.
Flexibility is not an attitude question, but a capacity question. Household size, infrastructure, and time budget determine real usability. The connection of these structural characteristics with behavioral patterns shows which customer groups can actually be flexible – regardless of whether they want to.
Risk willingness is not a personality trait, but tied to concrete conditions and life situations. Volto AI identifies the triggers and life events that turn a skeptical customer into an affine one – and turns this into a controllable sales signal.
No second-hand summaries. Real customer voices, structured analysis, action-oriented conclusions.
We make our multi-dimensional knowledge of customer needs available to clients for highly efficient marketing. VOLTO tells you exactly who your focus segments are, their precise characteristics, where to find them, and which messages will reach them.
Identification of your focus segments.
Detailed profiles of needs, drivers, and barriers.
Channels and contexts where these customers can be reached.
The narratives and arguments that actually land.
Using Volto's proprietary Qualitative at Scale methodology: AI-powered voice interviews with energy customers across Germany. Unfiltered opinions, deep analysis, quantitatively weighted.
Questions before purchasing? Contact us – we respond within one business day.
For utilities, municipal utilities and energy retailers who want to base their dynamic-tariff strategy on real customer data – instead of industry assumptions.
Using Volto’s proprietary “Qualitative at Scale” methodology: customers respond via voice interviews, AI-powered analysis – unfiltered and in their own words.
The study is based on energy customers in Germany, weighted representatively by age, gender, education, region, and household size.
You receive the complete study as a PDF immediately after receipt of payment via email. No subscription, no follow-up costs.
Yes. Contact us at support@volto.ai – we’ll send you an extended preview on request.