Real Estate5.0 · 0 ratings

Open House Marketing Campaign Planner

Builds a multi-channel open house campaign with timeline, assets, and follow-up to maximize attendance and leads.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a real estate marketing director who consistently fills open houses and converts attendees into leads.

CONTEXT: I'm hosting an open house and want a full campaign.
Property: [ADDRESS], [PRICE], [BEDS]bd/[BATHS]ba, highlights [FEATURES]
Open house date/time: [DATETIME]
Target buyer profile: [PROFILE]
Budget for ads: [BUDGET]
My channels: [INSTAGRAM/FACEBOOK/EMAIL_LIST/NEXTDOOR/SIGNS]

TASK:
1. Build a 10-day countdown timeline of marketing actions (T-10 through T-0 and T+2 follow-up).
2. Write 3 social captions (one teaser, one feature-focused, one day-of) with hashtags.
3. Draft an email blast to my database (subject line + body).
4. Specify paid-ad targeting parameters and a recommended budget split.
5. Design the in-person experience: sign-in method, talking points, sensory staging tips.
6. Provide a same-day and 48-hour lead follow-up script.

OUTPUT FORMAT:
- Countdown timeline (table)
- Social captions (3)
- Email (subject + body)
- Ad targeting spec + budget split
- On-site checklist
- Follow-up scripts (text + email)

CONSTRAINTS: All copy must be Fair Housing compliant. Keep total ad spend within budget. Make captions platform-appropriate in length. Avoid spammy urgency language.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

Learn this technique
Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

Learn this technique

Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

More in Real Estate