The scoreboard, and what is not on it. The hard targets, how often each is actually
looked at, and the quiet signals that never reach a dashboard.
Channel ROAS (Return on Ad Spend)
The revenue generated for every £1 spent on your assigned paid advertising channels (e.g., Google Ads, Meta Ads).
Target · Maintain or exceed 3.5:1 ROAS for assigned channels If you spend £10,000 on Google Ads and it brings in £38,000 in revenue, that's a 3.8:1 ROAS, which is great.
Email Campaign Conversion Rate
The percentage of recipients who complete a purchase after opening one of your email campaigns or flows.
Target · Achieve a minimum of 2.5% conversion rate for promotional emails and 5%+ for automated flows (e.g., abandoned cart). Your latest product launch email sent to 50,000 people resulted in 1,500 purchases, giving you a 3% conversion rate.
Shopping Cart Abandonment Rate Reduction
The percentage decrease in the number of customers who add items to their cart but don't complete the purchase.
Target · Reduce the overall site abandonment rate by 5-10% quarter-on-quarter through email flows and site optimisations. If the abandonment rate was 70% last quarter and you brought it down to 63%, that's a 10% reduction, which is a big win.
Organic Traffic Growth (for specific product/category pages)
The increase in non-paid visitors to key product or category pages that you've optimised for search engines.
Target · Increase organic traffic to your assigned product categories by 10-15% month-on-month. After optimising the 'Men's Running Shoes' category, you see a 12% jump in organic sessions compared to the previous month.
Adherence to Campaign Launch Timelines
Ensuring all campaigns (paid ads, emails, promotions) are set up, reviewed, and launched on schedule.
Target · 95%+ of campaigns launched on time, with all assets and tracking correctly implemented. You had 10 campaigns scheduled for launch this month, and 9 went live exactly as planned, with one minor delay due to a creative asset not being ready (which you flagged early).
Proactive Problem Solving & Issue Identification
You don't just report problems; you spot them early, dig into why they're happening, and propose solutions before they become bigger headaches. This means you're not waiting to be told what to fix.
- You're the first to flag a sudden drop in ad performance or a tracking error. You come to your manager with 'Here's what I found, and here's what I think we should do about it' rather than just 'Something's broken.' You'll have a good handle on why Klaviyo revenue doesn't quite match Shopify revenue and can explain the discrepancy.
Quality of A/B Testing & Optimisation Ideas
Your suggestions for improving campaigns or site elements aren't just guesses. They're based on data, clear hypotheses, and a genuine understanding of what we're trying to achieve. You're always thinking 'how can we make this better?'
- You present test ideas with a clear hypothesis ('If we change X, we expect Y to happen because Z'). Your tests are well-structured, and you can clearly explain the results, even if they're not what you expected. You're actively running at least 2-3 tests at any given time across your channels.
Effective Collaboration with Creative & Merchandising
You work smoothly with other teams, providing clear briefs for assets, giving constructive feedback, and understanding their constraints. You're seen as someone who helps them do their best work, not just demanding things.
- Creative team members mention you're easy to work with. Your campaign briefs are clear, concise, and include all necessary information. You anticipate needs from other teams rather than waiting until the last minute. You understand that sometimes the 'perfect' creative isn't possible due to deadlines or brand guidelines.
Data Interpretation & Reporting Clarity
You can take a bunch of numbers and turn them into a clear story. Your reports aren't just data dumps; they explain what happened, why it matters, and what we should do next. You don't get lost in jargon.
- Your weekly performance updates are easy to understand, even for someone who isn't deep in the data. You can confidently explain a dip in conversion rate or a spike in CPC. You can answer follow-up questions about your data without needing to go away and 'check the numbers' for every query.