Integrate AI content personalisation into existing management routines rather than running it separately.
Designing Content Personalisation Strategies with Artificial Intelligence
Practical training in AI content personalisation, grounded in real cases and applied to your own operation.
📍 Cairo🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Discounting solves a problem in AI content personalisation today and creates a larger one next quarter. Activity in the practice within marketing and commercial practice is easy to generate and easy to mistake for progress. Across sectors, teams that rehearse this part of marketing and commercial practice outperform teams that only plan it. Moving AI content personalisation from written policy into daily practice is not achieved by a single decision. Cases are chosen to expose the trade-offs in this strand of marketing and commercial practice rather than to illustrate ideal conditions. The outcome is a practitioner who can hold a position on this area of marketing and commercial practice and revise it on evidence. Participants who influence AI content personalisation without directly controlling it will find the content directly usable. Participants leave with a method for the marketing and commercial practice capability, not a set of opinions about it. The programme closes with an action plan for this strand of marketing and commercial practice that each participant writes for their own organisation.
Expected Learning Outcomes
Design the qualification criteria that stop effort being wasted in AI content personalisation.
Align marketing and sales handover within AI content personalisation so leads are not lost.
Set the attribution model for AI content personalisation and understand its limits.
Choose channels for AI content personalisation on evidence of where the audience decides.
Distinguish the parts of AI content personalisation that must be standardised from those that require judgement.
Handle the trade-offs in AI content personalisation between speed, cost and assurance explicitly rather than implicitly.
Who Should Attend
Training and development staff building internal capability in AI content personalisation.
Business development managers pursuing opportunities in AI content personalisation.
Team leaders and supervisors who put AI content personalisation into practice day to day.
Account managers responsible for retention within AI content personalisation.
Marketing managers responsible for AI content personalisation.
Customer experience managers improving AI content personalisation.
Course Modules
AI content personalisation: measurement, attribution and honest reporting
2 sessions · 8 pointsSession 1Qualifying out of AI content personalisation early and without guilt
- Rank the weaknesses in AI content personalisation by consequence rather than by ease of fixing.
- Agree the attribution model for AI content personalisation and state its known limits.
- Benchmark the organisation's AI content personalisation against comparable operations.
- Define qualification criteria that disqualify quickly in AI content personalisation.
Session 2The handover between marketing and sales in AI content personalisation
- Document the sales process for AI content personalisation so a new joiner can follow it.
- Draft the minimum viable go-to-market plan for AI content personalisation.
- Test creative for AI content personalisation at small scale before full commitment.
- Assign responsibility for keeping documentation of AI content personalisation current.
AI content personalisation: audience definition and segmentation
2 sessions · 8 pointsSession 1Where the buyer actually decides on AI content personalisation
- Record what was learned when AI content personalisation did not go as planned.
- Set out how exceptions to AI content personalisation are requested and approved.
- Anticipate the objections AI content personalisation will raise and prepare the answers.
- Agree what will be standardised in AI content personalisation and what will not.
Session 2Testing AI content personalisation before relying on it
- Decide what will be stopped to create capacity for AI content personalisation.
- Script the three most common objections in AI content personalisation and the responses.
- Design the retention action triggered when a customer of AI content personalisation goes quiet.
- Build the report on AI content personalisation that answers whether to spend more or less.
AI content personalisation: retention, loyalty and lifetime value
2 sessions · 8 pointsSession 1Keeping customers acquired through AI content personalisation
- Measure lifetime value from AI content personalisation, not just first purchase.
- Reduce the variation in how AI content personalisation is carried out between teams.
- Write the positioning claim for AI content personalisation and test whether a competitor could say it too.
- Collect evidence on the present handling of AI content personalisation before proposing changes.
Session 2Protecting the brand while hitting targets on AI content personalisation
- Identify single points of dependency in AI content personalisation and reduce them.
- Check that AI content personalisation still works when volumes rise unexpectedly.
- Set objectives for AI content personalisation in revenue terms with a timeframe.
- Set out the decisions in AI content personalisation that require sign-off and by whom.
AI content personalisation: positioning and the honest claim
2 sessions · 8 pointsSession 1Reviewing AI content personalisation when nothing has gone wrong
- Confirm that reporting on AI content personalisation reaches the people who can act.
- Define the handover point between marketing and sales in AI content personalisation.
- Review whether short-term tactics on AI content personalisation are damaging the brand.
- Select channels for AI content personalisation based on evidence, then cut the rest.
Session 2Getting other functions to support AI content personalisation
- Set the discount authority for AI content personalisation and require justification.
- Structure pricing for AI content personalisation against perceived value.
- Agree the indicators that will show whether AI content personalisation is improving.
- Build the content that answers the buyer's real question about AI content personalisation.
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
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