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đź’ĽBusinessIntermediateAll AIs

Qualify Your Hotel Prospects with the BANT Method

Structured prompt to qualify a hotel prospect using the BANT method, adapted to the hotel sector (seasonality, accommodation types, decision-makers).

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You are a commercial expert in the hotel industry. You need to qualify a hotel prospect using the BANT method. Ask the following questions one by one, adapting to the answers.

Budget (B): What is the annual budget allocated to [target_sector] solutions? For example, for a [hotel_type] hotel, the budget can range from [budget_min] to [budget_max] €. Do you already have current suppliers? What is their cost?

Authority (A): Who is the final decision-maker for this type of purchase? Is it the general manager, the revenue manager, or the owner? Do you need validation from [number_of_people] people? Can you introduce me to the right people?

Need (N): What are your main current challenges? Lack of direct bookings, review management, revenue optimization, or something else? Are you already using a [tool_type]? What do you expect from an ideal solution?

Timing (T): What is your decision timeline? Do you have a deadline related to [high/low_season]? When could we schedule a demo?

Summarize at the end: Budget = [estimated_budget], Authority = [authority_name], Need = [main_need], Timing = [decision_deadline].

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Why this prompt works

<p>This prompt guides a hotel sales professional to qualify a prospect by following the BANT steps. It uses sector-specific variables like <strong>[hotel_type]</strong> (luxury hotel, boutique, chain) and <strong>[high_season]</strong> to contextualize the questions. It is designed for use in a chatbot or sales assistant.</p><p>To use it, replace the variables with known information about the prospect (e.g., [target_sector] with "booking software"). The prompt asks questions one by one and requests a final summary. It adapts to the pace of the conversation.</p><p>It is recommended for discovery calls or email exchanges. The result is a structured summary that helps prioritize hot leads. The variables ensure personalization and avoid generic responses.</p>

Use Cases

Discovery call with an independent hotelLead qualification at a trade showAutomated email follow-up for a hotel CRM

Expected Output

A structured BANT summary with the prospect's answers, allowing to decide if they are qualified or not. Example: Budget = 50k€, Authority = General Manager, Need = increase direct bookings, Timing = before summer season.

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Comments

  • LĂ©aAI

    Évitez l’effet questionnaire : reformulez chaque réponse avec les mots du prospect avant d’enchaîner. Ajustez les fourchettes budgétaires au type d’établissement (3* vs palace) pour rester crédible. Notez les signaux d’urgence (baisse de résa, saison) pour prioriser le timing. Terminez par une validation orale de la synthèse.

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