Top 10 PPC Metrics Every Founder Should Track with Their Agency

It’s easy to end up sifting through endless PPC reports and still feel none the wiser about which campaigns are actually moving the needle for your start-up. For founders, what matters most is a clear set of metrics that tie your ad spend directly to new customers, lifetime value, and your reach in the market.

 

From conversion tracking and attribution windows to ROAS, customer lifetime value, and impression share, every metric offers its own perspective on performance and potential pitfalls. Here are ten practical checks, key dashboard essentials, and optimisation steps to help you make sense of your data and focus on what truly drives results. If you’re ever unsure, just get in touch—there’s no catch.

 

 

1. Align Agency KPIs with Your Start-Up’s Business Goals

 

Connect KPIs to each stage of the commercial funnel by linking ad metrics, such as impressions and click-through rate, to awareness, leads and cost per lead to consideration, and conversion rate and average order value to decision. Repeat-purchase rate gives insight into retention. It’s helpful to understand how changes in each ad metric can influence overall revenue or margin, so efforts can be prioritised based on what really matters to the business. Consider tying these KPIs to unit economics by reporting on customer acquisition cost, return on ad spend, conversion rate, and average order value. Comparing CAC against lifetime value targets can highlight when acquiring new customers becomes less profitable, making it easier to focus on commercial outcomes rather than chasing vanity metrics. If you’re not sure where to start, get in touch for a chat – there’s no catch.

 

Put incremental measurement and attribution transparency at the heart of your strategy. Consider running experiments or holdout tests that offer clear insights, such as comparing control and exposed groups to see what’s genuinely being driven by your ads. It’s a good idea to adopt a test-and-learn framework: start with well-defined hypotheses, ensure your sample sizes make sense, and follow up every test with a write-up summarising what you’ve learnt, how confident you can be in the results, and what to do next—even if things didn’t go to plan. Good data governance is essential too. Agree reporting rules in advance, such as who can view query-level data, how you’ll document your attribution model, and how you’ll verify tracking. Setting up alerts for things like unusual drops in impression share, click-through rate, or conversion paths helps you spot issues quickly and keep everything on track.

 

Book a quick call to align measurement and governance

 

 

2. Validate conversion tracking and protect your data accuracy

 

Conduct a thorough tracking audit to ensure every conversion event is properly mapped to its relevant page and parameters. It’s a good idea to run test journeys in a fresh browser and check network activity as well as the developer console to confirm that tags are firing and that details like order ID, currency, and value are being sent correctly. To keep your data clean, make sure both client-side and server-side events use the same unique event ID, and separate key business conversions from smaller actions to avoid counting them twice. Setting up clear deduplication rules means your bidding tools work with a single, trustworthy signal for each conversion.

 

To ensure your reported conversions match up with what’s actually happening behind the scenes, it’s helpful to compare the platform’s numbers against raw records from your CRM or payment system. Look out for any gaps—these might be down to blocked cookies, missing UTM tags, or mismatched identifiers. It’s also worth checking how user consent, browser privacy settings, and ad blockers influence which events are tracked. If you spot measurement loss, consider using consent-aware fallbacks, like server-side event capture. Keep a living tracking document with details about each event, what data is expected, and who’s responsible. Automate regular checks to confirm tracking tags are firing as intended, and set up alerts for any unusual drops or odd data. Make sure everyone involved reports on any discrepancies and works together to sort out issues—transparency is key for staying on top of your data.

 

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3. Assess Channel Performance and Customer Acquisition Effectiveness

 

When working out your channel-level CAC (Customer Acquisition Cost), it’s important to look at the total spend on paid media for each channel and divide it by the number of genuinely new customers that channel brings in. Be clear on what qualifies as a new customer, leaving out any reactivations or returns, so you’re working with clean figures. It’s always helpful to have the raw spend and customer counts to hand, so you can double-check the sums yourself.

For a clearer picture of performance, look at both cohort LTV (Lifetime Value) and the LTV:CAC ratio. Make sure cohort revenue per customer is shown and check that LTV:CAC is calculated simply by dividing cohort LTV by CAC. Factor in margin-adjusted LTV as well, so you’re considering profit rather than just gross revenue. It’s also worthwhile to highlight the gross margin break-even point, as this helps you see whether acquiring customers remains profitable at a unit level. If you’re unsure how to approach any of these steps, don’t hesitate to get in touch for a chat—there’s no catch.

 

To get a clear view of true incrementality, consider using holdout or lift tests. It’s helpful to keep an eye on how many new customers are actually gained and how much incremental spend goes into each effort. A useful formula is incremental customer acquisition cost, which you can work out by dividing incremental spend by incremental customers. Make sure you’ve got decent sample sizes and check confidence intervals to ensure the results stand up statistically.

Keep tabs on funnel efficiency metrics that affect acquisition costs, such as click-through rate, cost per click, landing page conversion, and micro-conversion rates. It’s a good plan to ask for a breakdown that highlights which part of the funnel is ramping up your acquisition costs.

When it comes to testing, ask for outcomes from any A/B tests carried out, along with a clear explanation of how each change has impacted acquisition costs. For attribution, it makes sense to look at both multi-touch or data-driven models alongside last-click reports. Checking marginal return on ad spend by channel can help you see whether moving budget actually grows your customer base or just shifts credit around. If you’re ever unsure what the numbers are telling you, get in touch for a no-catch chat.

 

Discuss your metrics with a transparent measurement partner

 

 

4. Calculate Returns with ROAS and Customer Lifetime Value

 

Ask your agency to explain how they report return on ad spend (ROAS), including which attribution model and conversion window they use. These factors can make a world of difference to your reported ROAS, so it’s important to compare figures on a like-for-like basis. For customer lifetime value (CLV), keep things straightforward with a consistent approach – something like multiplying average order value by how often people buy and how long they typically stick around. It’s also worth requesting CLV broken down by customer cohorts, rather than just a single average, as this can highlight retention patterns that might otherwise stay hidden. If anything’s unclear, don’t hesitate to get in touch for a bit of clarity – there’s no catch.

 

To make sure your paid campaigns are genuinely profitable, it’s wise to factor in both your gross margin and operating costs when setting ROAS targets. A handy rule of thumb is to use break-even ROAS, calculated as 1 divided by your gross margin, to check whether your returns are actually covering product costs. Consider translating customer lifetime value into the highest acquisition cost you can sustainably support per customer, and let that figure steer your bidding and scaling choices. If you notice your current cost per acquisition is higher than what’s sustainable, it may be time to pause or shift spend towards channels where the numbers stack up better. Be sure to request segmented reporting of both ROAS and CLV by channel, campaign, and cohort. It’s also worth asking for lifetime ROAS projections under a few different retention scenarios. That way, you’ll spot when a strong initial ROAS masks weaker long-term value, or when it’s sensible to accept a lower front-end ROAS thanks to robust customer lifetime value. If you need a hand making sense of these numbers, just get in touch—there’s no catch.

 

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5. Track impression share to see how far your ads reach

 

Keep an eye on your overall search impression share, absolute top impression share, and where opportunities are lost due to budget or ranking. It helps to review these figures across your campaigns, keywords, devices, and locations, bringing them together in one clear report. This makes it much easier to spot patterns, whether you’re reaching a broad audience or missing out in certain areas. Setting a minimum acceptable share for each campaign, and tracking the average over time, lets you tell the difference between normal ups and downs and a real downward trend.

 

If you notice your impression share dipping, start by pinpointing whether it’s down to budget constraints or how your ads are ranking. From there, you might look at moving spend around, upping your bids, polishing your ad copy, or giving your landing page a once-over—whatever’s right for the situation. It’s worth lining up the reasons for lost share alongside key metrics like click-through rates, conversion rates, and cost per conversion. This will help you sense how reclaiming a bit more share could lift your conversions, especially when you factor in conversion share and what a new customer is worth to your business. Make a note of any changes to bids, budget, or creative, so you can keep tabs on what’s shifting your reach. Keeping an eye on your top-of-page and branded term share can also offer clues about what the competition’s up to. By matching up your share percentages with search volume, you’ll get a feel for the total impression pool, making it easier to spot which segments are worth focusing on to win back share as efficiently as possible.

 

Get clear, accountable analysis to reclaim lost impression share.

 

 

6. Monitor Click-Through Rates to Optimise Your Ad’s Impact

 

Click-through rate, or CTR, is worked out by dividing clicks by impressions. It’s best treated as a tool for diagnosing account health, not just as a vanity metric. Compare CTR across campaigns, keywords, and ad positions to uncover where ads might be missing the mark—especially in areas with lots of impressions but not much engagement. For a clearer picture, segment your CTR by search query, match type, device, audience, and whether ad extensions are showing. This helps you see where relevance shifts, so you can spot your strongest and weakest queries, add negative keywords to cut out irrelevant clicks, and group high-performing queries for more targeted ads. When testing new ad copy, keep things simple: change one thing at a time, set clear goals upfront, and jot down your findings. That way, you’ll always know which tweaks are driving real results.

 

Don’t look at click-through rate (CTR) on its own. It’s a good shout to look at CTR alongside conversion rate, cost per acquisition and what visitors do after clicking, so you get a clearer picture of traffic quality. If you spot CTR going up but conversions dropping, it usually points to a mismatch between what your ad promises and what people find on your landing page. Try testing out different landing page versions, review session recordings, and make sure your keywords match up nicely with your landing pages.

It’s worth keeping an eye on ad relevance factors like expected CTR, ad relevance scores and landing page experience, as these all affect both your CTR and how your ads perform in the auction. Tighten up your keyword-ad groups, use relevant ad extensions and give low-relevance keywords the chop. Also, check your impression share and lost ranking metrics – these will help you figure out if a low CTR comes down to your ad copy not hitting the mark or just not being seen enough. Then, you can focus on sorting the main issue. If you’re not sure where to start, get in touch with someone who can give your campaigns a once-over – no catch.

 

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7. Boost Your Quality Score and Elevate Landing Page Experience

 

Start by reviewing how your keywords map to landing pages, spotting any gaps where search intent and page content drift apart. It helps to create a matrix linking what people are searching for, the ad copy they see, and what your landing page actually says and asks visitors to do. Focus first on pages where the intent and the content don’t quite match up. To improve your results, test different headlines and descriptions in your ads, try out dynamic elements where suitable, and keep a close eye on changes in click-through rates, quality scores, and conversions. Share your findings by reporting on quality score trends for each keyword or ad group. You can also look for links between better quality scores and shifts in your cost per click or overall acquisition cost. If in doubt, get in touch with a specialist—there’s no catch.

 

Boosting your website’s performance and mobile experience means keeping things lean. Try cutting down on heavy page elements, delaying scripts that aren’t needed straight away, and making sure your images are nicely compressed. Don’t forget to check that your site’s layout adapts to all screen sizes. To truly understand how your site performs, it helps to track both behind-the-scenes lab metrics like Largest Contentful Paint and Total Blocking Time, as well as real-world signals such as bounce rate and interaction rate—these show what your visitors are actually experiencing.

When it comes to conversion rate optimisation, stay methodical. Test headlines, main images, form lengths, and even button text with A/B experiments to see what really works. Back up your findings with heatmaps, session replays, and quick micro surveys to spot exactly where users might be getting stuck. Use these insights to sort out what needs fixing first, then keep an eye on changes to click-through rates, quality scores, and conversion rates as you go.

A clear scorecard helps keep things transparent. List out load times, bounce and conversion rates, quality score factors, and the next steps based on what’s genuinely driving results. If you’re unsure or want a fresh perspective, just get in touch—there’s no catch.

 

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8. Making Sense of Attribution Windows and Assisted Conversions

 

Ask your agency to clarify which click and view-through attribution windows they use on each paid channel. It’s sensible to have them run campaign reports using alternative window lengths, so you can see how conversion counts, CPA and ROAS shift in real terms. Spotting the difference helps you judge whether results rely on a particularly generous attribution setting.

It’s also worthwhile to request an assisted conversions report. This should outline the typical conversion paths, show how many assisted interactions come from each channel, and highlight cases where a paid click came before an organic or direct conversion. Reviewing these examples helps you measure true added value and spot which channels are helping along the way, versus those that simply close the deal. If any of this sounds a bit much, don’t be shy to get in touch for a bit of guidance—no catch.

 

It’s important to keep things consistent when tracking your marketing performance. Aim to have your attribution windows aligned across your paid platforms and analytics tools wherever possible. Ask your agency to provide a clear reconciliation table that compares conversions reported by each platform and your analytics, with explanations for any differences. This helps to spot issues like double counting, cross-device mismatches, or differences in attribution logic.

For deeper insights, request a conversion lag and cohort analysis to see how long it typically takes for users to convert after engaging with an ad. Breaking this down by campaign, funnel stage, and audience can help you set realistic expectations for optimisation and adjust attribution settings for top-of-funnel activity.

It’s also sensible to test different attribution models side by side—such as last click, time decay, position-based, and data-driven approaches. Where possible, try out holdout or incrementality tests for a true measure of impact. Make sure you get clear documentation on any sampling limits, the inputs used for each model, and any adjustments made, including lift estimates. That way, you can choose an approach that properly answers your business questions, rather than simply relying on the default settings from ad platforms. If you’re unsure where to start, get in touch with a specialist who can help break down the options—no catch.

 

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9. How to Make Sense of Budget, Spend and Channel Allocation

 

It’s helpful to have a clear channel allocation table showing each channel alongside actual spend share, planned allocation, conversions, conversion rate, cost per acquisition, and value contribution. This makes it much easier to spot which channels are overdelivering or underperforming compared to your initial plan. Including a pacing and run-rate visual that plots cumulative spend versus planned pacing, alongside a run-rate calculation, helps you see whether current spend levels are likely to hit your targets. That way, you can make informed decisions about whether to reallocate budget, ramp up activity, or pause certain channels. Finally, reviewing efficiency and marginal return analysis—looking at metrics such as CPA, return on ad spend, click-through rate, and impression share by channel, as well as a marginal CPA or diminishing-return curve—can highlight where additional budget may drive higher incremental costs per conversion. If you’re unsure how to pull this together, it’s always wise to get in touch with a digital marketing specialist who can shed light on these metrics—no catch.

 

Be sure to ask for clear evidence of holdout experiments, audience overlap checks, and attribution sensitivity analyses. These should come with details on how tests were designed, sample size recommendations, and how uplift was calculated, so you can spot true incremental conversions rather than just shifting existing results around. It’s also handy to keep a waste and optimisation log, showing things like excluded placements, negative keywords, flagged invalid traffic, and a record of what’s been tweaked – all with before and after performance snapshots. This way, you can see exactly where wasted spend has been trimmed and efficiency has improved. Pulling all these insights together in one reporting pack makes it much easier to follow how changes have influenced performance, returns, and the overall impact of each channel. If these sorts of tables, charts or test summaries aren’t being provided, it’s a good shout to ask more questions – or, if all else fails, get in touch with someone who can offer that level of transparency.

 

Ask a transparent digital specialist to consolidate your reporting.

 

 

10. Prioritise transparency with clear reporting, dashboards, and optimisation steps

 

It’s a good idea to ask for exportable, raw-level datasets and tables that are clearly labelled with the source, timestamp, timezone, and notes on data freshness, along with the actual formulas used for calculations. This way, you’ll be able to check the numbers for yourself and put together your own reports if needed. Make sure your key metrics, attribution models, and conversion logic are carefully documented and locked in, so there’s no confusion down the line – it’s all about keeping the figures consistent, whatever platform you’re using. For day-to-day insights, interactive dashboards should make it easy to break down performance by device, campaign, audience, or landing page, with handy filters, conversion funnels, and alerts if anything looks out of place. If you’re unsure how to get started, just get in touch – no catch.

 

Keep a clear optimisation log that notes every test or change, including your hypothesis, set-up, sample sizes, and results, so you can properly track what’s driving shifts in your core metrics. Make sure your tests stick to proper experimental methods, such as randomisation and control groups, to get reliable insights. Alongside this, use an action tracker that records each optimisation, who’s responsible, the reasons behind it, the expected impact, and which metric will confirm if it’s worked. When you combine these records with your raw data and consistent KPI definitions, it’s much easier to spot if your changes have done the trick and where you should tweak things next. If you’re not sure where to start, get in touch – there’s no catch.

 

It’s worth asking for a concise set of metrics that directly link your ad activity to customer acquisition, unit economics, and market reach. Make sure your agency can clearly demonstrate how shifts in these key metrics relate to your overall business performance. Tracked conversions, cohort lifetime value, incremental testing, impression share, click-through rates, quality score insights, and access to exportable raw data will help you verify reported results and keep your campaigns optimised. No smoke and mirrors—just straightforward data you can trust.

 

Treat the ten checks here as a practical checklist, ensuring you have clear attribution windows, reconciliations, pacing charts, marginal return curves, and a versioned optimisation log that attributes causality to each change. Transparent, testable reporting underpins the difference between untracked advertising and measurable growth—so it’s worth making sure these processes are in place.