Build a concise go-to-market plan for machine learning dynamic pricing that colleagues can follow without further explanation.
Designing Dynamic Pricing Strategies with Machine Learning
Practical training in machine learning dynamic pricing, grounded in real cases and applied to your own operation.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Buyers now complete much of their decision on machine learning dynamic pricing before speaking to anyone. Attribution in dynamic pricing is imperfect; that is not a reason to stop measuring it. The result is the confidence to make and defend decisions about the marketing and commercial practice capability under scrutiny. Progress on machine learning dynamic pricing is usually lost in the gap between approval and execution. Participants who influence this aspect of marketing and commercial practice without directly controlling it will find the content directly usable. Mature organisations treat dynamic pricing as a standing capability rather than a project that finishes. It treats machine learning dynamic pricing as an operating discipline and equips participants to run it as one. Participants apply dynamic pricing to their own commercial team throughout, so the output is directly usable. It ends with a prioritised list of changes to the practice within marketing and commercial practice that the participant is prepared to defend internally.
Expected Learning Outcomes
Build the sales process for dynamic pricing so it is repeatable across the team.
Structure pricing for machine learning dynamic pricing to reflect value rather than cost.
Set measurable objectives for dynamic pricing tied to revenue rather than reach.
Build a register of the risks attaching to machine learning dynamic pricing and keep it current.
Set the minimum documentation for dynamic pricing that is genuinely necessary, and stop there.
Align marketing and sales handover within machine learning dynamic pricing so leads are not lost.
Who Should Attend
Brand and communications specialists shaping machine learning dynamic pricing.
Project and programme managers whose delivery depends on dynamic pricing.
Staff seconded into improvement work on machine learning dynamic pricing.
Founders and owner-managers running dynamic pricing personally.
Business development managers pursuing opportunities in machine learning dynamic pricing.
Agency and consultancy staff supporting clients on dynamic pricing.
Course Modules
Machine learning dynamic pricing: objection handling and negotiation
2 sessions · 8 pointsSession 1Choosing channels for machine learning dynamic pricing on evidence
- Script the three most common objections in machine learning dynamic pricing and the responses.
- Record what was learned when dynamic pricing did not go as planned.
- Map the handovers in machine learning dynamic pricing between functions and secure them.
- Build the competence framework that supports dynamic pricing.
Session 2The claim about dynamic pricing competitors cannot copy
- Map the decision journey for machine learning dynamic pricing and mark where the choice is actually made.
- Review whether short-term tactics on dynamic pricing are damaging the brand.
- Compare cost of acquisition against value in machine learning dynamic pricing.
- Select channels for dynamic pricing based on evidence, then cut the rest.
Dynamic pricing: alignment between marketing and sales
2 sessions · 8 pointsSession 1Moving dynamic pricing from approval to execution
- Define qualification criteria that disqualify quickly in machine learning dynamic pricing.
- Test the procedure for dynamic pricing against a realistic scenario.
- Record the rationale for each significant choice made about machine learning dynamic pricing.
- Confirm that those complying with dynamic pricing understand why it exists.
Session 2What has to be agreed before work on dynamic pricing starts
- Measure lifetime value from machine learning dynamic pricing, not just first purchase.
- Define the handover point between marketing and sales in dynamic pricing.
- Estimate the resource machine learning dynamic pricing requires to run as designed.
- Test creative for dynamic pricing at small scale before full commitment.
Dynamic pricing: measurement, attribution and honest reporting
2 sessions · 8 pointsSession 1Testing the message on dynamic pricing before spending
- Set the discount authority for machine learning dynamic pricing and require justification.
- Establish who is informed, consulted and accountable in dynamic pricing.
- Establish the boundary of machine learning dynamic pricing and record what sits outside it.
- Choose the next segment for dynamic pricing and state why it is next.
Session 2The handover between marketing and sales in machine learning dynamic pricing
- Write the positioning claim for machine learning dynamic pricing and test whether a competitor could say it too.
- Set escalation thresholds for dynamic pricing that work out of hours.
- Set objectives for machine learning dynamic pricing in revenue terms with a timeframe.
- Structure pricing for dynamic pricing against perceived value.
Dynamic pricing: the customer journey and decision points
2 sessions · 8 pointsSession 1Closing out dynamic pricing and capturing what was learned
- Document the sales process for machine learning dynamic pricing so a new joiner can follow it.
- Prepare the summary of dynamic pricing that senior management will read.
- Describe the buyer for machine learning dynamic pricing specifically enough to name who is excluded.
- Set out the decisions in dynamic pricing that require sign-off and by whom.
Session 2Where the buyer actually decides on dynamic pricing
- Remove steps in machine learning dynamic pricing that add effort without adding assurance.
- Agree the smallest change to dynamic pricing that would be visibly useful.
- Confirm that contractual obligations around machine learning dynamic pricing are understood.
- Arrange the handover of dynamic pricing so capability survives staff changes.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
We will contact you within one business day to confirm.