Replaced isolated campaigns with one positioning-to-revenue workflow.
YaoVector / Evidence
Global Construction Machinery Leader: From Digital Marketing to Measurable Growth
An integrated programme spanning positioning, content, media, lead operations and sales coordination lifted ROAS, conversion efficiency and attributable GMV by more than 30%.
01 / Context
Client context and business domain
Global construction machinery · digital demand and revenue growth
A globally active leader in construction machinery. Published anonymously at the client's request; commercial results are indexed to protect sensitive absolute values.
02 / Baseline
Record the starting point before the result
Content, media, lead management and sales follow-up operated separately, without a shared account model, attribution method or traffic-to-revenue loop.
03 / Implementation
Solution and implementation
- 01
Reframed growth strategy and positioning
Aligned priority markets, ideal customers, value propositions and product portfolios across regions.
- 02
Built a content and media operating system
Connected buying-scenario content, campaign structure, landing journeys and continuous experimentation.
- 03
Connected leads, sales and operating reviews
Standardised qualification, ownership, funnel stages and attribution so budget decisions followed business evidence.
04 / Operating change
How workflow, organisation and systems changed
Marketing and sales adopted shared account priorities, funnel stages and measures.
Created traceability from source and spend through opportunity progress and revenue contribution.
05 / Verified outcomes
Before-and-after evidence with definitions, periods and sources
07 / Reusable learning
What others can reuse
- 01
Repeatable growth requires positioning, content, media, leads and sales to operate as one system.
- 02
Agree metric definitions and attribution boundaries before scaling spend.
- 03
Organising content around high-value buying situations outperforms volume-led publishing.
Next step
Start with your own operating baseline
We first confirm metric definitions, data sources and accountability before deciding whether focused validation is warranted.
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