The scoreboard, honestly: the hard targets, how often each one is actually looked at,
and the quiet human signals that never make it onto a dashboard.
Marketing-Sourced Pipeline & Revenue
The total value of sales pipeline and closed-won revenue directly attributable to AI and automation initiatives you've overseen.
Target · Increase marketing-sourced pipeline by 20% year-on-year, contributing £5M+ in new revenue annually.In Q3, AI-driven personalised campaigns generated £1.8M in pipeline, leading to £750K in closed-won revenue, exceeding the £600K target.
Customer Acquisition Cost (CAC) Reduction
The percentage decrease in the cost to acquire a new customer, specifically driven by your AI-optimised campaigns and automation.
Target · Reduce overall CAC by 15% across key channels within 18 months.After implementing AI-powered bid optimisation and audience segmentation, our paid social CAC dropped from £250 to £210, a 16% reduction.
Customer Lifetime Value (CLV) Uplift
The measurable increase in the predicted total revenue a customer will generate over their relationship with us, influenced by AI-driven retention and personalisation programmes.
Target · Achieve a 10% uplift in CLV for new customer cohorts within two years.Our AI-driven 'next best action' recommendation engine for existing customers led to a 12% higher repeat purchase rate, directly correlating to a CLV increase for that cohort.
Marketing Technology Stack ROI
The return on investment for the entire marketing technology stack, including AI platforms, automation tools, and data infrastructure, under your purview.
Target · Maintain a positive ROI (e.g., 3:1 or higher) on a £2M+ annual MarTech budget.Our annual MarTech spend of £2.5M generated £8.5M in attributable revenue, delivering a 3.4:1 ROI, exceeding the 3:1 target.
AI/Automation Programme Delivery & Adoption
The successful launch and sustained adoption of major AI and automation programmes outlined in the strategic roadmap.
Target · Deliver 90% of strategic roadmap initiatives on time and within budget, with 80% adoption rate across relevant teams.The new predictive lead scoring system was deployed two weeks early and is now used by 95% of the sales team, exceeding the 80% adoption goal.
Strategic Influence & Thought Leadership
Your ability to shape the company's overall marketing and technology strategy, both internally and externally. This isn't just about doing the work, but about being seen as the expert.
- Regularly invited to present to the Board or Executive Committee on AI strategy
- sought out by other department heads for advice
- recognised as a thought leader within the industry (e.g., speaking at conferences, publishing articles)
- successfully championing major strategic shifts in marketing approach.
Team Capability & Development
How effectively you build, mentor, and develop a high-performing team of AI Marketing specialists and leaders, ensuring we have the talent to execute your vision.
- High retention rates within your team
- clear succession plans for key roles
- positive feedback in 360-degree reviews regarding leadership and development
- team members successfully progressing into more senior roles
- a demonstrable increase in the team's collective skill set over time.
Ethical AI Governance & Compliance
Your oversight in ensuring all AI and automation initiatives are developed and deployed ethically, transparently, and in full compliance with relevant regulations (e.g., GDPR, data privacy laws).
- No compliance breaches related to AI marketing
- clear, documented ethical guidelines for AI use
- regular audits of AI models for bias and fairness
- proactive engagement with legal and compliance teams on new initiatives
- a reputation for responsible innovation.
Cross-Functional Collaboration & Alignment
How well you get different departments—like Product, Sales, and Tech—to work together on shared AI and automation goals, ensuring everyone's pulling in the same direction.
- Successful, complex projects delivered with multiple stakeholders
- positive feedback from peer directors and VPs on collaborative efforts
- joint roadmaps and shared KPIs with other departments
- a reduction in inter-departmental friction or 'turf wars' related to AI initiatives.