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Business & enterprise / Sales role-play + offer design

Handle a price objection without panicking

A customer says your price is too high. You are tempted to accept a loss just to keep the enquiry.

The practice brief

Practice finding out whether the issue is price, scope, timing or trust.

AI can support preparation and feedback. The learner still makes an attempt, checks the work and explains the choices.

  1. Prepare a clear offer with inclusions and exclusions.
  2. Ask one question before changing the price.
  3. Compare a reduced scope with the original offer and confirm the next step.
Illustrative scene for: Handle a price objection without panicking
Illustrative learning scene
A starting prompt to adapt

Ask for practice.
Not just an answer.

Role-play a customer who is interested but unsure about my price. Raise one objection at a time. Wait for my answer. Afterwards review whether I clarified needs, explained value and avoided unsupported promises.

Use fictional or approved information. Adjust the prompt to your context and the tools available in your learning route.

The human situation

What would you say next?

Pause and make your own attempt before opening the example. There is more than one appropriate response.

Understand Maahir’s practice formats →

“Someone else will do it for half. Why should I pay you?”

See one response to practice
“Could we compare what is included? My quote covers these two deliverables and one revision. If your budget is fixed, I can suggest a smaller scope.”

Review the attempt: Is the response respectful, specific and commercially workable?

Scripted illustration—not a live AI assessment.
Something you can show

A clearer offer and two tested ways to handle an objection.

Your next step

Test the offer with a potential customer and record what you learn—not just whether they buy.

Keep the first attempt and the improvement. Explain what changed, what you checked and what still needs support.

Thinking about enrolling?

Make this your starting point.

Start with this practical goal: A clearer offer and two tested ways to handle an objection. This is a suggested learning goal, not a promised enrollment outcome.

1. Bring a real question

Describe what you want to improve and what you have already tried. Use fictional or anonymised examples, not private client, student or workplace records.

2. Try the learning experience

Explore the demo. Start with AI foundations if the tools are new to you, then look for a relevant exercise, role-play or practice format. Check the activity on your device.

3. Register and choose a next step

Use the registration page to review the current intake and requirements. Plan time to attempt, check and improve your work. Confirm any coaching or access support you need.

Learner access is 100% free. External tools, data, devices or production services may have separate costs. Learning does not guarantee a job, customers, income or funding. For younger learners, check age eligibility and parent or guardian requirements.