by Research Team | Apr 18, 2026 | Marketing ROI, PPC and Paid Ads
Most pay-per-click (PPC) reports contain more data than anyone needs to make a good decision. Impressions, clicks, click-through rate, average position, search impression share: the list goes on. For in-house marketers who didn’t build the campaign, knowing how to read PPC reports can feel like translating a language no one taught them. The good news is that most of what matters fits into a much shorter list than the platform would have you believe.
Here’s how to cut through the noise and find what the numbers are actually telling you.
What a PPC report is actually trying to tell you
A PPC report is a record of how a campaign is spending money and what that spending is producing. The challenge is that most reporting dashboards surface volume metrics first. Impressions, clicks, click-through rate: these numbers tend to look active and encouraging, but they don’t tell you whether the campaign is working.
The metrics that actually matter are the ones tied to outcomes.
Cost per lead tells you what you’re paying for each conversion. If this number is rising, something in the campaign structure, targeting, or landing page is creating inefficiency.
Conversion rate tells you what percentage of clicks are turning into leads or sales. A high click volume with a low conversion rate points to a mismatch between the ad and what the landing page delivers.
Return on ad spend tells you how much revenue the campaign is generating relative to what it costs. This is the clearest measure of whether the budget is producing a return.
Quality Score tells you how Google rates the relevance of your keywords, ads, and landing pages. Low scores increase cost per click, which drives every other metric in the wrong direction.
If a report doesn’t show these four metrics clearly, it isn’t giving you what you need to make decisions. A PPC ads agency should be building reports around outcomes, not just activity.
How to read PPC reports section by section
Most PPC reports are organized by campaign, then ad group, then keyword. Reading them in that order helps you locate problems at the right level before making changes.
At the campaign level, look at total spend, total conversions, and cost per lead across each campaign. This tells you which campaigns are producing results and which are absorbing budget without returning it. If one campaign is spending significantly more than others but producing fewer leads, that’s where to focus next.
At the ad group level, look for imbalance. In a well-structured account, spend and conversions should be distributed across ad groups in a way that reflects the intent behind each group. An ad group that’s consuming most of the budget while producing few conversions is a structural problem, not a bid problem.
At the keyword level, look at what search terms are actually triggering your ads. This is different from the keywords you’re bidding on. The search term report shows the real searches that led to clicks. If a significant portion of those searches are irrelevant to your service, you have a negative keyword gap.
In the conversion data, confirm that leads are being counted correctly. Check whether the same conversion is being counted more than once, whether all lead sources are tracked, and whether the numbers in the report align with what’s showing up in your CRM.
In one case, an in-house marketing manager noticed that one ad group was consuming nearly 60 percent of the monthly budget. When she reviewed the keyword and search term data for that group, she found it was built around terms that were too broad to convert. Reallocating that budget to tighter, intent-matched groups improved overall CPL within six weeks.
What to do when the numbers look wrong
When something in a PPC report doesn’t look right, the first step is figuring out whether you’re looking at a data problem or a performance problem. These require different responses.
A data problem means the tracking isn’t recording accurately. Leads are being missed, double-counted, or attributed to the wrong source. Before drawing any conclusions from a report that looks off, confirm that the conversion tracking is firing correctly.
A performance problem means the tracking is accurate and the campaign genuinely isn’t producing results. Once you’ve ruled out a data issue, look at whether the problem is isolated to one campaign or ad group, or whether it’s showing up account-wide.
Next, check whether any recent changes correlate with the shift. A bid adjustment, a new ad, a landing page update, or a budget change made in the weeks before the drop is often the cause. Platforms don’t always flag these connections clearly.
From there, decide whether the issue calls for a targeted fix, a pause, or a deeper review. Isolated issues with a clear cause can usually be addressed directly. Patterns that show up across multiple campaigns, or problems that have persisted through several rounds of optimization, are a signal that the account needs a digital marketing audit rather than another round of small adjustments.
Frequently asked questions
In-house marketers often have specific questions about which PPC metrics to prioritize and how to interpret what they’re seeing. Here are the most common.
What metrics should I focus on in a PPC report?
Focus on cost per lead, conversion rate, return on ad spend, and Quality Score. These four metrics tell you whether the campaign is producing results at a sustainable cost. Volume metrics like impressions and clicks provide context but should not drive decisions on their own.
How often should I review my PPC reports?
Weekly reviews are appropriate for active campaigns with meaningful spend. Monthly reviews work for lower-spend accounts or campaigns in a stable phase. Any time a significant change is made to the account, reviewing performance within seven days of that change helps confirm whether it had the intended effect.
What does a good PPC report look like?
A good PPC report is organized around outcomes, not activity. It shows cost per lead, conversion rate, and return on ad spend at the campaign and ad group level. It includes search term data and notes any recent changes that may have affected performance. It gives the reader enough context to make a decision, not just a record of what happened.
When should I be concerned about my PPC numbers?
Be concerned when cost per lead is rising across multiple campaigns without a clear cause, when conversion rate drops while click volume stays flat or increases, or when the search term report shows a high percentage of irrelevant traffic. Any of these patterns, especially when they persist across more than one reporting period, warrants a closer look at the account structure.
Get an Audit
Knowing how to read a PPC report is one thing. Knowing what to do about what it shows is another. If your reports are raising questions you’re not sure how to answer, an outside perspective can clarify what the numbers mean and what to change first. Get an Audit to get a clear read on what your PPC data is telling you and where the real opportunities are.
Key Takeaways
PPC reports contain far more data than is needed to make good decisions. Focus on cost per lead, conversion rate, return on ad spend, and Quality Score.
Read reports at the campaign level first, then ad group, then keyword. This helps locate problems at the right level before making changes.
Before acting on numbers that look wrong, confirm whether the issue is a data problem or a performance problem. These require different responses.
Patterns that persist across multiple campaigns or reporting periods are a signal that the account needs a deeper review, not another round of small adjustments.
by Research Team | Apr 6, 2026 | Digital Marketing, PPC and Paid Ads
When pay-per-click performance drops, the instinct is to make a small adjustment. Swap a headline. Raise a bid. Pause an underperforming keyword. Sometimes that works. But sometimes the problem isn’t the headline or the bid. It’s the structure underneath all of it. That’s when a PPC campaign audit changes the conversation.
Knowing the difference between a campaign that needs a tweak and one that needs a rebuild is what separates controlled spending from a slow budget leak.
What a PPC campaign audit actually looks at
A PPC campaign audit is a structured review of how your paid advertising is built and how it’s performing. It is not the same as routine campaign management. Routine management adjusts what exists. An audit questions whether what exists is worth keeping.
A proper audit examines four layers.
Campaign structure looks at how your ad groups are organized, whether they’re aligned to specific intents, and whether the architecture supports the goals you’ve set.
Keyword targeting reviews which terms are triggering your ads, how they’re matched, and whether negative keywords are in place to filter out irrelevant traffic.
Ad creative evaluates whether your headlines and descriptions are aligned to what the landing page delivers, and whether they’re speaking to the right stage of the buyer’s decision process.
Conversion tracking confirms that the data you’re seeing in the platform reflects what’s actually happening on your site. If tracking is broken, every optimization decision you make is built on inaccurate information.
Working with a PPC ads agency means having someone examine all four layers, not just the metrics on the surface.
Signs your PPC campaign needs more than a tweak
Most campaigns that need a rebuild show the same patterns. Here’s what to look for.
Cost per lead keeps climbing despite bid adjustments. If you’ve raised and lowered bids repeatedly without a meaningful change in CPL, the problem is likely structural. Bids influence cost, but they don’t fix a campaign that’s targeting the wrong audience or sending traffic to a weak landing page.
Ad groups are covering too many intents. A single ad group that contains 40 keywords across multiple topics is a budget efficiency problem. Ads can’t speak specifically to every intent, so they speak generally to none of them. Click-through rate suffers. Quality scores drop. Costs increase.
Conversion tracking is missing or misconfigured. This is more common than most business owners realize. If your campaign dashboard shows clicks but your CRM shows no leads, the tracking setup needs attention before any other optimization is meaningful.
The campaign was built on a default structure. Many accounts are set up using platform-recommended defaults, including broad match keywords, auto-applied recommendations, and smart campaigns with minimal customization. These settings prioritize platform spend over advertiser outcomes. A campaign built this way often needs to be rebuilt from a clean structure.
Performance improved briefly after changes, then declined again. Short-term improvement followed by a return to poor performance is a sign that the fix addressed a symptom, not the cause. The underlying structure is pulling performance back down.
In one case, a business had been adjusting bids monthly for nearly a year. CPL remained high. When the account was audited, the issue wasn’t the bids at all. Ad groups were structured around broad product categories rather than buyer intent, and the campaign was spending most of its budget on searches that had no realistic path to conversion. A rebuild resolved the issue within 60 days.
How to decide between a fix and a full rebuild
Before making any changes, ask three questions.
First, is the problem isolated or systemic? An isolated problem, such as one ad group with poor performance or one broken tracking event, can usually be fixed directly. A systemic problem, such as CPL rising across all campaigns or traffic quality declining site-wide, points to something structural.
Second, how long has the problem been present? Issues that have persisted through multiple optimization cycles are rarely resolved by another round of small adjustments. If the same problem keeps returning, the structure is likely the cause.
Third, was the campaign built with a clear strategy or assembled over time? Campaigns that were built reactively, adding keywords here and ad groups there, often lack the architecture needed to perform consistently. A digital marketing audit will surface this quickly.
When a rebuild is the right call, expect a short performance reset period as the new structure exits the platform’s learning phase. This typically lasts two to four weeks. After that, the metrics to watch are cost per lead, conversion rate by ad group, impression share, and return on ad spend. These tell you whether the new structure is doing what the old one couldn’t.
Frequently asked questions
Business owners often aren’t sure what to expect from a PPC audit or rebuild before they begin. Here are the most common questions.
What is a PPC campaign audit?
A PPC campaign audit is a structured review of your paid advertising account. It examines campaign structure, keyword targeting, ad creative, and conversion tracking to identify what’s working, what’s wasting budget, and what needs to change. It is distinct from routine optimization. It questions the foundation, not just the settings.
How do I know if my Google Ads are working?
The clearest indicators are cost per lead, conversion rate, and return on ad spend. If CPL is rising, conversion rate is flat or falling, and ROAS doesn’t justify the spend, the campaign is not working at an acceptable level. Click-through rate and impression share provide supporting context but are not standalone measures of success.
How long does it take to rebuild a PPC campaign?
Most rebuilds take one to two weeks to plan and implement, depending on account complexity. After launch, the campaign enters a learning phase that typically lasts two to four weeks. Full performance data is usually available within 60 days of the rebuild going live.
Will rebuilding my PPC campaign affect my current results?
Yes, in the short term. A rebuilt campaign exits the platform’s learning phase before it stabilizes, which can cause temporary fluctuations in impressions and cost. This is normal and expected. The goal is a structure that performs consistently over time, not one that protects short-term numbers at the expense of long-term efficiency.
Get an Audit
It’s hard to know from inside the account whether the problem is structural or fixable with small changes. Before you spend another dollar adjusting a campaign that may need a fresh start, know what you’re actually working with. Get an Audit and get a clear picture of what’s driving your results and what’s getting in the way.
Key Takeaways
- A PPC campaign audit examines structure, keyword targeting, ad creative, and conversion tracking, not just surface-level metrics.
- Rising CPL, bloated ad groups, broken tracking, and default campaign builds are signs that a rebuild may be needed.
- Isolated problems can usually be fixed directly. Systemic problems that persist through multiple optimization cycles point to a structural issue.
- A rebuild comes with a short learning phase. The metrics to watch afterward are cost per lead, conversion rate, impression share, and return on ad spend.
by Research Team | Mar 28, 2026 | Digital Marketing Audits, Marketing Strategy, PPC and Paid Ads
Scaling marketing spend before auditing performance amplifies existing problems. It does not solve them. A digital marketing audit before scaling confirms which channels are producing real returns, where conversion tracking gaps exist, and whether the current foundation can handle increased investment. Spend more only when you know what you are scaling.
When marketing results are flat, the instinct is to spend more. More budget, more ads, more content. The logic feels sound. If a little is not working, more should move the needle.
The problem is that more spend does not fix a broken structure. It accelerates it.
Search engine optimization (SEO), pay-per-click (PPC) advertising, content, and conversion tracking all have to be working together before increased investment produces returns. A digital marketing audit before scaling is not a delay in growth. It is the step that determines whether scaling works at all.
What scaling marketing spend actually means
Scaling is not the same as increasing a budget. Scaling means increasing investment in a structure that is already producing measurable returns, and doing so because the data supports it.
When that foundation is in place, more spend produces more results. More qualified leads, more revenue, more return on every dollar invested. The math works because the structure works.
When that foundation is not in place, more spend produces more of whatever the current campaigns are already doing, which may be generating clicks without conversions, traffic without leads, or activity without revenue.
Most businesses skip the audit step before scaling for one of three reasons: impatience to see results, the assumption that more spend automatically means more output, or a lack of visibility into what current performance actually looks like.
All three lead to the same outcome. A larger budget producing a larger version of the same problem.
What a digital marketing audit reveals before you scale
A pre-scaling audit is not a full strategic overhaul. It is a focused review of the specific things that determine whether increased investment will produce returns.
Which channels are producing qualified results. Not all active channels are performing equally. An audit separates the ones generating qualified leads or revenue from the ones generating activity without outcomes. Scaling should go into the former, not spread equally across both.
Where conversion tracking gaps exist. Spend decisions made on incomplete data produce unpredictable results. If key actions, form fills, calls, purchases, are not tracked correctly, there is no reliable way to know which campaigns are working. This has to be confirmed before scaling, not discovered after.
Which structural problems more budget will amplify. A campaign with broad match keywords and no negative keyword list will waste a small budget inefficiently. It will waste a large budget at scale. An audit identifies these problems while they are still inexpensive to fix.
What the actual cost per lead or cost per acquisition is. Estimated numbers are not enough before a scaling decision. The audit sets a verified baseline, so when spend increases, there is a real number to measure against.
Whether the current infrastructure can handle increased volume. Landing pages that convert at 2% at low traffic volume will not improve at high volume. Page speed, mobile experience, and conversion path clarity all need to be confirmed before more traffic is directed at them.
What happens when businesses scale without auditing first
The pattern is consistent. Budget increases. Activity increases. Results do not follow at the expected rate. And because the data was never clean to begin with, there is no clear explanation for why.
Budget concentrates in the wrong campaigns. Platforms optimize toward clicks and engagement. Without a clean structure guiding spend allocation, more budget flows to high-activity campaigns that may have no conversion history.
Conversion tracking gaps become more expensive. A tracking gap that goes unnoticed at a $3,000 monthly spend becomes a significant blind spot at $10,000. Decisions made on incomplete data at scale cost more to reverse.
Landing pages that convert poorly at low volume perform worse under pressure. More traffic to a page that is not converting reveals the problem more clearly, but only after the spend has already gone out.
In practice, a common outcome for businesses that scale without auditing first is that cost per lead rises sharply within the first 60 days of increased spend, with no clear explanation available from the platform data. The budget grew. The structure did not.
What to audit before you increase your marketing investment
These are the areas that matter most before any scaling decision.
Conversion tracking. Confirm that every key action is tracked, firing correctly, and attributed to the right channel. This is the foundation everything else depends on. Do not scale spend until this is verified.
Campaign structure. Review ad groups, match types, keyword lists, and negative keywords before increasing budget. Tightening the structure first means more spend goes to higher-intent searches rather than spreading across broader, less qualified traffic.
Landing page performance. Measure conversion rate by page before driving more traffic to it. A page converting at 1% will not improve simply because more people arrive. Fix the page first, then scale the traffic.
Channel attribution. Confirm which channels are producing revenue, not just leads or clicks. Scaling into a channel that looks active but does not close is a common and expensive mistake.
Cost per lead or cost per acquisition baseline. Set the verified number before scaling. When spend increases, that baseline is the only reliable way to know whether the investment is working or whether the same problems are playing out at a higher cost.
Working with a PPC ads agency that conducts a structured pre-scaling review of your paid channels will surface structural issues before they become expensive at scale.
Frequently asked questions about auditing before scaling
Business owners preparing to scale their marketing investment tend to share the same practical questions about timing, scope, and what the process involves.
When should I do a digital marketing audit?
The most important trigger is before any significant increase in marketing spend. Beyond that, an audit is warranted after a period of flat or declining performance, after a website redesign that may have affected tracking or page performance, or when entering a new channel for the first time. Treating the audit as a recurring practice rather than a one-time event makes each scaling decision more informed than the last.
How long does a digital marketing audit take before I can start scaling?
A focused pre-scaling audit covering paid channels, conversion tracking, and landing page performance can typically be completed in one to two weeks. A broader audit that also covers SEO, content gaps, and technical performance takes two to four weeks. The timeline is worth it. The cost of scaling into an unaudited structure almost always exceeds the cost of the audit itself.
What if my audit reveals major problems should I still scale?
It depends on the type and severity of the problem. Conversion tracking gaps and campaign structure issues should be resolved before scaling. These are foundational. SEO gaps and content weaknesses can often be addressed in parallel with a measured increase in paid spend, since paid results move faster than organic. The audit gives you the information to make that call with confidence rather than guessing.
Can I do a digital marketing audit myself?
A basic internal review can surface obvious gaps, broken links, missing tracking tags, and campaigns with no conversion history. But an outside expert will find issues an internal team has stopped seeing because they are too close to the work. More importantly, an outside review benchmarks performance against what results should look like, not just what your business is used to seeing. That difference in perspective is where the most valuable findings tend to come from.
What to Remember
Scaling marketing spend before auditing performance amplifies existing problems. A digital marketing audit before scaling is not a delay in growth. It is the step that determines whether scaling works at all.
The most expensive scaling mistakes share a common cause: conversion tracking gaps and structural campaign problems that were present before the budget increased, and became more costly at scale.
A pre-scaling audit sets a verified baseline for cost per lead or cost per acquisition. Without that number, there is no reliable way to know whether increased investment is working or whether the same problems are playing out at a higher cost.
Audit conversion tracking first, campaign structure second, and landing page performance third. These three areas determine whether more spend produces more results or more waste.
Know what you have before you invest more
Before you spend another dollar on ads or SEO, know what you are working with. Get an Audit and get a clear picture of where your marketing spend is going and whether it is ready to scale.
by Research Team | Mar 24, 2026 | Digital Marketing Audits, Marketing Strategy, PPC and Paid Ads
PPC data analysis is not about reading every number in the platform dashboard. It is about knowing which metrics signal real performance and which ones create noise. Start with cost per lead and return on ad spend, pull the search term report before making any changes, and connect platform data to actual revenue before drawing conclusions about what is working.
Most businesses running pay-per-click (PPC) advertising have access to more data than they know what to do with. Every campaign, ad group, and keyword produces its own set of numbers. Impressions, clicks, click-through rate, quality score, average cost per click — the list goes on.
Having access to that data is not the same as knowing how to use it. PPC data analysis is the skill that bridges the gap, turning a platform report into a clear picture of what to change, what to protect, and what to stop spending on.
Why PPC data analysis is harder than pulling a report
Pulling a report describes what happened. PPC data analysis explains why, and what to do about it.
That distinction matters because PPC platforms are designed to show you activity, not outcomes. Impressions tell you how often your ad appeared. Clicks tell you how often someone engaged. Neither number tells you whether the campaign is producing revenue.
The problem is compounded by volume. A mid-sized PPC account can generate thousands of data points in a single week. Without a framework for separating signal from noise, most of that data gets reviewed without being acted on, or worse, it drives decisions based on the wrong numbers.
Vanity metrics are the most common trap. A high click-through rate looks good in a report. But a high click-through rate paired with a low conversion rate means the ad is attracting the wrong audience. The platform is performing. The campaign is not.
The goal of PPC data analysis is not a better-looking dashboard. It is better spend decisions, fewer dollars going to searches that do not convert, and more going to the ones that do.
The PPC metrics that actually drive decisions
These are the numbers worth building a review around.
Cost per lead (CPL). For lead generation campaigns, CPL is the primary health indicator. It tells you what you are paying for each qualified inquiry. A rising CPL without a matching improvement in lead quality is the clearest signal that something in the campaign structure needs attention.
Return on ad spend (ROAS). For ecommerce campaigns, ROAS measures how much revenue is generated for every dollar spent on ads. It connects spend directly to revenue, which is the only number that ultimately matters.
Conversion rate by campaign and ad group. Where is qualified traffic going, and what is it doing when it gets there? Conversion rate at the campaign and ad group level tells you which parts of your account are working and which are costing you without producing results.
Quality score. Quality score is the platform’s measure of how relevant your keyword, ad copy, and landing page are to each other. A declining quality score raises your cost per click and lowers your ad position. It is an early warning sign worth catching before it compounds.
Search term report. This is the most underused report in PPC. It shows exactly which searches triggered your ads, not the keywords you bid on, but the actual queries buyers typed. Working with a PPC ads agency that reviews this report regularly is one of the highest-leverage habits in paid search management.
What the data looks like when something is wrong
Budget waste rarely announces itself. These are the patterns that signal a problem before it becomes expensive.
Rising CPL with flat or declining lead quality. You are paying more per conversion and the leads are not improving. The cause is almost always a targeting issue, the wrong keywords, the wrong audience, or a landing page that is not aligned to the search intent driving traffic to it.
High CTR with a low conversion rate. The ad is compelling enough to generate clicks. But the landing page is not delivering on what the ad promised. The gap between what the ad says and what the page shows is where conversions get lost.
Spend concentrated in one campaign with no performance rationale. Platforms optimize toward clicks and engagement, not your business goals. When budget drifts toward the campaign that generates the most activity rather than the most conversions, the platform is working against you.
Quality score declining across multiple ad groups. A relevance problem is spreading through the account. The keyword, the ad copy, and the landing page are not aligned, and the platform is penalizing you for it with higher costs and lower visibility.
In practice, one of the most common findings when reviewing a new PPC account is that the campaign with the highest spend has never produced a verified conversion. It generates clicks. It spends confidently. But when conversion tracking is checked, the data simply is not there.
How to build a PPC data review that leads to action
A structured review process does not need to be complicated. These are the steps that produce the most useful decisions.
Start with CPL and ROAS. Everything else is context for those two numbers. If CPL is rising or ROAS is declining, that is where the investigation begins.
Pull the search term report before making any targeting changes. You cannot make informed decisions about keywords without knowing which searches are actually triggering your ads. Review the last 30 to 90 days, add irrelevant terms as negatives, and identify high-intent searches that deserve their own ad group or bid adjustment.
Review performance top-down. Start at the campaign level to identify which campaigns are over- or underperforming relative to spend. Then drill to ad group and keyword level to find the specific source of the problem.
Connect PPC data to CRM or sales data. Platform conversions and actual revenue are not always the same number. A form fill is not a sale. Connecting your PPC data to what those leads actually produce in your pipeline gives you a more accurate read on what the campaign is worth.
Set a review cadence and hold to it. Weekly check-ins for active campaigns. Monthly reviews for structural decisions, match types, ad group organization, budget allocation. A digital marketing audit that covers your paid channels will surface the bigger structural issues a weekly review will not catch.
Frequently asked questions about PPC data analysis
In-house marketers managing PPC tend to share the same questions about which numbers to trust and how often to act on them.
What PPC metrics should I track?
For lead generation campaigns, focus on CPL, conversion rate, and quality score. For ecommerce campaigns, focus on ROAS, conversion rate, and average order value from paid traffic. Tracking too many metrics produces noise rather than insight. Build your review around the numbers tied directly to revenue, and use everything else as context when those numbers move in the wrong direction.
What is a good CTR for PPC ads?
CTR benchmarks vary by industry, network, and ad format, so a single number is not a reliable target. More importantly, CTR in isolation is a vanity metric. A high CTR with a low conversion rate means the ad is attracting clicks from people who are not ready to buy. The more useful question is whether your CTR and conversion rate are moving in the same direction. If CTR is rising while conversion rate falls, the ad is reaching the wrong audience.
How do I know if my PPC campaign is profitable?
Profitability requires connecting platform data to actual revenue. For lead generation, cost per lead needs to be measured against your close rate and average deal value. A high CPL may still be profitable if the leads close consistently at a strong margin. For ecommerce, ROAS needs to be measured against your product margin, not just gross revenue. A 400% ROAS on a 20% margin product is not the same as a 400% ROAS on a 60% margin product.
Why does my PPC data look different in Google Ads versus Google Analytics?
Data discrepancies between platforms are common and have several causes. Attribution model differences mean each platform may assign credit for a conversion differently. Conversion tracking gaps, tags that are not firing correctly or events counted in one platform but not the other, create inconsistencies. View-through conversions counted in one platform but not the other can also inflate numbers on one side. Reconciling the two sources before making spend decisions is essential. Acting on data from only one platform without understanding the discrepancy will lead to the wrong conclusions.
What to Remember
PPC data analysis is not about reading every number. It is about knowing which metrics signal real performance. CPL and ROAS are the starting point. Everything else is context.
The search term report is the most underused report in paid search. Reviewing it before making any targeting changes is one of the highest-leverage habits in PPC management.
The most common finding when reviewing a new account is that the highest-spend campaign has never produced a verified conversion. The platform spent confidently. The business had no idea.
Connect platform data to CRM and sales data before drawing conclusions. A form fill is not a sale. The only number that ultimately matters is revenue.
PPC data should answer questions, not create them
If your PPC reporting is producing more confusion than clarity, that is a sign the analysis needs a fresh set of eyes. Schedule a Call and we will work through what your data is actually telling you and what to do about it.
