Case study demonstrates a shift to multi-touch attribution in enterprise marketing, indicating improved customer journey insights.
As customer journeys in the enterprise sector become increasingly complex, involving multiple stakeholders and prolonged sales cycles, traditional last touch attribution (LTA) models fail to capture the contribution of early and mid-stage interventions. This practical implementation case study documents how a high-touch marketing organisation transitioned from LTA to a data-driven multi-touch attribution framework built on Markov chain modelling. The paper demonstrates how shifting to an enterprise attribution model reveals the correlational value of ‘nurturing’ touch points — such as blogs and webinars — that are often undervalued by single-touch heuristics. The paper also addresses the organisational challenges of this transition, proposing a three-phase implementation roadmap: technical proof-of-concept, internal marketing education and sales alignment. The findings indicate that although algorithmic models offer a more holistic representation of the customer journey, their effectiveness depends on addressing the perceived ‘black box’ nature of the methodology. Reframing the output around ‘marketing influence’ rather than credit allocation helps build trust in the model and fosters shared accountability between sales and marketing. This article is also included in The Business & Management Collection which can be accessed at http:// hstalks.com/business
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Sri Duggirala (2026) studied this question.
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