Valuation

    Precise pricing that convinces owners.

    Buyer price, agent expertise and market data — combined into a robust pricing strategy for every owner meeting.

    Book a live demo Try for free

    Preisspanne aus Käufersicht

    1 Mio € - 1,65 Mio €

    Preis aus Käufersicht 1.346.069 €

    Aktualisiert: vor 1 Tag·Datenvollständigkeit: 47 %

    So entsteht die Käuferpreis-Spanne

    Regionale Marktbasis
    630.703 €
    Lage- & Standortqualität
    +285.329 €
    Mikrolage & Infrastruktur
    +164.863 €
    Kaufkraft & Marktstärke
    +146.792 €
    Bewohner- & Käuferstruktur
    +134.411 €
    Objektgröße, Typ & Nutzbarkeit
    −21.508 €
    Preis aus Käufersicht1.346.069 €

    Modellierte Marktpreise nach Zustand

    Modellierte Marktpreise nach Immobilienzustand – Bandbreiten von renovierungsbedürftig bis Erstbezug

    Preisposition im Markt

    Käuferpreisspanne

    Vergleichsobjekte

    Modellierte Marktpreise

    6,8 k €/m²13,3 k €/m²19,8 k €/m²

    Market & Buyers

    What price do buyers expect for this property?

    DeepImmo models the price from the buyer's perspective, makes every component transparently traceable and contrasts the owner's expectation with real willingness to pay.

    • Price range from the buyer's perspective
    • Derivation of the buyer price range — every component visible
    • Affordability from the buyer's view incl. income gap
    • Owners' self-assessment & desired price

    Preisspanne aus Käufersicht

    1 Mio € - 1,65 Mio €

    Preis aus Käufersicht 1.346.069 €

    Aktualisiert: vor 1 Tag·Datenvollständigkeit: 47 %

    So entsteht die Käuferpreis-Spanne

    Regionale Marktbasis
    630.703 €
    Lage- & Standortqualität
    +285.329 €
    Mikrolage & Infrastruktur
    +164.863 €
    Kaufkraft & Marktstärke
    +146.792 €
    Bewohner- & Käuferstruktur
    +134.411 €
    Objektgröße, Typ & Nutzbarkeit
    −21.508 €
    Preis aus Käufersicht1.346.069 €

    Price derivation

    From buyer price to a compelling listing price.

    Agent expertise belongs in the valuation. With one click you add property-specific upsides and risks — DeepImmo transparently recalculates the final recommended price.

    • Library of the most common price adjustments
    • Upsides & risks colour-coded — visible in real time
    • Instant recalculation of €/m² and total price
    • Recommended listing price with agent seal

    Berücksichtigte Preisfaktoren

    Am beliebtesten

    + Besondere Aussicht+ Garage / TG-Stellplatz+ Exklusive Sonderausstattung− Renovierungsbedarf− Hoher Wettbewerbsdruck
    Empfehlung / m²13.461 € / m²
    Angepasster Käuferpreis1.346.069 €
    Empfohlener Angebotspreis1.346.000 €

    Empfohlener Angebotspreis

    1.346.000 €

    Empfohlen von Makler GmbH

    Berücksichtigt Käufererwartung, aktuelle Marktdaten und Maklerexpertise zur Immobilie.

    Property profile

    Market position proven — even without matching comparables.

    DeepImmo models market prices where no comparable listings exist. This creates robust price ranges even in locations with a thin data base.

    • Modelled market prices
    • Comparison with real comparable properties
    • All ranges contrasted on a single axis
    • Defend market position confidently in the owner meeting

    Modellierte Marktpreise nach Zustand

    Modellierte Marktpreise nach Immobilienzustand – Bandbreiten von renovierungsbedürftig bis Erstbezug

    Preisposition im Markt

    Käuferpreisspanne

    Vergleichsobjekte

    Modellierte Marktpreise

    6,8 k €/m²13,3 k €/m²19,8 k €/m²

    Pricing strategy

    Which starting price do we go to market with?

    Based on the buyers' market assessment and the market comparison, you choose the right pricing strategy. Each option influences demand, time on market and negotiation room.

    • Four clear price scenarios at a glance
    • Recommended listing price highlighted
    • Impact on demand and time on market visible
    • Owner price expectation as a reality check

    Preisstrategien

    Mit welchem Startpreis gehen wir in den Markt?

    Schneller Verkauf

    1.211.000 €

    Preis am unteren Ende der Marktspanne für einen schnellen Verkauf.

    Empfohlen

    Empfohlener Angebotspreis

    1.346.000 €

    Preis zum Marktwert für ausgewogene Geschwindigkeit und Rendite.

    Preis maximieren

    1.481.000 €

    Preis über dem Markt. Risiko einer Preisreduzierung.

    Presentation

    Your pricing strategy becomes a presentation automatically.

    With DeepImmo Slides your analysis turns into a modern, fully branded presentation without extra work — ready to present in the owner meeting or to export for the owners.

    • Price indication, condition and pricing strategy as ready-made slides
    • Always up to date — no copy and paste
    • Fully branded with your logo and colours
    • Full-screen presentation straight from the Real Estate OS®
    Folie: Preisindikation – Bewertungspräsentation Herzog-Wilhelm-Straße 1, München

    Three pricing strategies — one clear recommendation.

    Buyer expectations, agent expertise and market comparison form a robust valuation — ready to present and agreed with the owner.

    Transparent derivation of the marketing price
    Automatic positioning in the market
    Ready to present without extra effort
    Joint pricing with the owner
    Dennis Pilz

    DeepImmo's pricing strategy tool is an indispensable instrument for real estate agents to argue market-aligned sale prices in a well-founded and transparent way. It combines current market data with intelligent analyses, creating an objective basis for pricing. Ultimately the market sets the actual sale price – but thanks to local expertise and DeepImmo's data-driven support, agents can convincingly justify a realistic starting price.

    Dennis Pilz

    Falc Immobilien

    Maklerhaus 1Maklerhaus 2Maklerhaus 3Maklerhaus 4Maklerhaus 5Maklerhaus 6Maklerhaus 7Maklerhaus 8Maklerhaus 9Maklerhaus 10Maklerhaus 11Maklerhaus 12Maklerhaus 13Bartz Immobilien
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    Frequently asked questions

    The final price is always set by owner and agent. DeepImmo supports this process with transparent data, market analysis and pricing strategies, but makes no binding pricing decisions.

    The price recommendations are based on extensive market and location data as well as statistical models. They provide solid orientation for owner meetings and pricing decisions. As property markets are dynamic, results should always be evaluated together with the agent's professional judgement.

    A central one. DeepImmo provides data-based market analyses but does not capture every property-specific detail. Agents can therefore add individual strengths, risks or specifics and adjust the price recommendation accordingly.

    No. The prices and price ranges shown are modelled market estimates and serve as support for pricing. They do not replace an official market value appraisal or an individual valuation by an expert.

    The data base is continuously updated. In addition, DeepImmo shows data completeness and the time of the last update so the results remain transparently traceable.