Explore Tasks
Plan and reallocate marketing spend across channels on measured return
A marketing budget holder receives a channel allocation plan with expected return by channel, the attribution, test or mix-model evidence it rests on and its uncertainty, and the triggers for moving money during the period.
1job does it
5jobs help with it
32skills it needs
- Marketing Lead
- Marketing Analyst
- Marketing Manager
- Head of Marketing
- Marketing Director
- Chief Marketing Officer
Does itHelps with it
- Reading and tracing unfamiliar code
- Reviewing human- and AI-generated code changes for correctness and risk
- Sampling and reviewing a team's work against standards
- Diagnosing misleading data visualisations
- Verifying reports and dashboards before and after release
- Verifying AI-assisted outputs against sources
- Disclosing AI contribution to professional work
- Testing competing explanations with discriminating evidence
- Independently checking analytical conclusions and claims
- Escalating unresolved risks with evidence and clear ownership
- Giving specific developmental feedback on data and AI work
- Judging the materiality of defects and deficiencies for the intended use
- Designing and validating digital analytics event measurement
- Estimating quantities and differences with intervals
- Designing experiments
- Evaluating experimental results and integrity
- Estimating and challenging causal effects
- Analysing customer lifetime value and unit economics
- Making accountable decisions under uncertainty
- Measuring campaign outcomes with valid denominators
- Critically evaluating marketing attribution claims
- Allocating spend across channels by marginal return
- Weighing conflicting evidence by design strength
- Judging whether uncertainty changes the decision
- Identifying and quantifying decision downside and exposure
- Revising prior decisions when evidence changes
- Reasoning about systems, feedback and second-order effects
- Facilitating group decisions using disputed evidence
- Rating risks against appetite and choosing proportionate treatment
- Recognising and resolving ethical conflicts in data and AI work
- Writing evidence-led findings and auditable recommendations with their limits
- Interpreting policy scope and delegated authority limits
Paths that teach the skills it needs
Skill Path
Data Literacy for Business Decisions
Judge whether a business claim from a table, KPI, chart or dashboard really holds up.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Experimentation and Causal Impact Evaluation
Answer "did it work" with randomised experiments where possible and quasi-experimental methods where not.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Diagnostic Investigation and Root Cause Analysis
Resolve contradictory evidence and find, verify and prevent the causes of business and data anomalies.
- Modules
- 5 open
- Practice data
- Raket Parts