MeasurementOrchestration-ledB2B & ABM

Every channel claimed the conversion.
None of them could prove what it added.

12%ROI improvement, from channel reallocation alone
Four channel groups modelled, and budget moved on evidence rather than last touchContainer shipping · B2B acquisition · 2018 to 2022
An MSC container ship at sea
Client
MSC
Sector
Shipping · Logistics
Engagement
2018 to 2022
Type
Measurement-led
02 · Context

A long B2B journey with no attribution.

MSC is a world leader in global container shipping, operating in a digital environment where a prospect touches several channels before converting. The decision is slow, considered, and rarely attributable to one click.

The company had no data-driven view of how each channel contributed to new client acquisition, which meant budget allocation across paid, organic, direct and referral could not be argued from evidence. It was argued from opinion.

03 · What we built

Transition probabilities across the whole journey.

We implemented a Markov chain attribution model, calculating the transition probabilities between touchpoints across the full customer journey. The output quantifies the incremental contribution of each channel to conversion, which is a different question from which channel was touched last.

Around it we structured campaign data recording so audiences could be built from it, issued coordination recommendations to stop channels cannibalising each other, and delivered budget reallocation guidance derived from the model rather than from channel-level reporting.

66.7%33.3%50%50%100%50%50%startC1C2C3drop-offconvertsC1, C2, C3 = channel touchpoints · each edge carries the probability of moving to the next state
IllustrativeHow a Markov chain reads a journey: each edge carries the probability of moving to the next state, and a channel's value is what the conversion rate loses when you remove it. Worked example, not MSC's transition table.
0369121518conversionsPaid SearchOrganic SearchDirectReferralnew clientsexisting clients
IllustrativeContribution to client acquisition once the model was applied, split between new and existing clients. Illustrative values, from the model's presentation deck, not the client's reporting.
04 · Result

The budget started following the evidence.

Documented in the MSC Markov chain attribution business case.

12%return on investment improvement
4channel groups modelled: paid, organic, direct, referral
05 · What this proves

A budget that follows evidence.

The first Markov chain attribution model we built for a shipping client, and the output that finally let a media budget follow evidence rather than opinion. Reallocation alone, with no increase in spend, returned 12%.

“comtogether with their strategic and fast turnaround has helped us improve our digital presence with the launch of campaigns across many countries. The ongoing communication, expertise and proactive approach they have with our team is greatly appreciated and has helped us develop key winning strategies.”

Natalia MontoneMSC
Portrait of Natalia Montone
Natalia Montone

If you cannot say what each channel adds rather than what it touched, Let's talk.

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