Attribution in intelligent product recommendation is imperfect; that is not a reason to stop measuring it. Buyers now complete much of their decision on the marketing and commercial practice capability before speaking to anyone. Exercises escalate in difficulty, ending with the ambiguous situations that make the wider marketing and commercial practice agenda hard in practice. It is written for people who have to make intelligent product recommendation work with the resources they already have. Practitioner evidence points the same way: this strand of marketing and commercial practice improves fastest where responsibility for it is named and owned. It treats the marketing and commercial practice capability as an operating discipline and equips participants to run it as one. A common pattern is strong design of intelligent product recommendation paired with weak follow-through. The result is the confidence to make and defend decisions about this area of marketing and commercial practice under scrutiny. The programme closes with an action plan for the marketing and commercial practice discipline that each participant writes for their own organisation.
Expected Learning Outcomes
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Select indicators that show whether intelligent product recommendation is improving, and reject those that only look useful.
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Plan expansion of intelligent product recommendation into new segments or markets deliberately.
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Compare the organisation's handling of intelligent product recommendation with recognised practice, and close the material gaps.
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Structure pricing for intelligent product recommendation to reflect value rather than cost.
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Protect the brand while pursuing short-term targets in intelligent product recommendation.
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Build the internal capability for intelligent product recommendation rather than depending on external support indefinitely.
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Set the attribution model for intelligent product recommendation and understand its limits.
Who Should Attend
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Technical staff being prepared for supervisory responsibility over intelligent product recommendation.
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Account managers responsible for retention within intelligent product recommendation.
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Marketing managers responsible for intelligent product recommendation.
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Brand and communications specialists shaping intelligent product recommendation.
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Anyone whose accountability for intelligent product recommendation exceeds their current formal training in it.