Competitor ad spend tracking: a practical guide for performance marketers

Google and Facebook still control 58% of digital ad spend. Businesses earn roughly $2 for every $1 they put into Google Ads. Your competitors are spending real money right now, and if you are not tracking where that money goes, you are flying blind.

Competitor ad spend tracking sounds straightforward: find a number, compare it to yours, adjust. The reality is messier. No tool gives you exact figures. Every estimate comes with assumptions baked in. And even perfect data would not tell you whether a competitor's campaign is actually profitable.

This guide walks through the tools that come closest to real ad spend intelligence, how to read what they show you, and what to do with the data once you have it. Think of it as a field manual, not a sales pitch.

Why tracking competitor ads matters in 2026

The advertising landscape shifted dramatically between 2024 and 2026. Three changes make competitor ad tracking essential rather than optional.

First, ad costs are rising fast. Meta CPMs jumped 47% year over year and Google Ads competition increased by 65%. When every impression costs more, you cannot afford to test blindly. Knowing which creatives, placements, and offers your competitors are scaling lets you skip the expensive trial and error phase. Marketers using ad intelligence tools report cutting their testing phase by 40 to 60% and reducing wasted ad spend by up to 30%.

Second, the number of platforms has exploded. Five years ago, most brands ran ads on two platforms: Google and Facebook. Today, a competitive brand might run campaigns across Google, Meta, TikTok, LinkedIn, YouTube, programmatic display, and Amazon Ads simultaneously. Tracking competitors across all these channels manually takes 40+ hours a week. Most agencies simply do not do it, and their campaigns suffer.

Third, AI agents are changing the speed of competitive response. Autonomous platforms can detect a competitor's new campaign within 2 to 4 hours of launch and automatically adjust bids or refresh creatives in response. If your competitors are using AI agents for ad intelligence and you are still doing manual checks, you are operating at a structural disadvantage.

What competitor ad spend data can and cannot tell you

Every ad spend tool works on the same premise: look at what a competitor is doing, reverse-engineer the cost. Some use keyword-level CPC estimates multiplied by estimated traffic. Others crawl display networks and model CPMs. A few tap into publisher-side data feeds.

Here is what you can reasonably estimate: which channels a competitor is spending on, whether spend is trending up or down, which keywords they bid on most aggressively, and roughly how much they pay per click on search terms where their ad rank is strong.

Here is what you cannot know: actual conversion rates behind the clicks, real return on ad spend (ROAS), profit margins after customer acquisition cost, and whether a sustained campaign is working or just surviving on venture funding.

The most useful signal is not a dollar figure. It is direction over time. A competitor who doubles their estimated spend on TikTok over six months and holds it there is getting results. A competitor who spikes on a keyword for two weeks and disappears was testing, and the test probably failed.

This is also why tools like adextract focus on surfacing competitive ad intelligence over time rather than one-off snapshots. A single data point is noise. A six-month trend is a signal. For a deeper look at what most marketers misread in competitive data, see our breakdown on what performance marketers get wrong about competitive ad analysis.

The tools that actually show ad spend estimates

Most ad libraries (Meta, Google, LinkedIn, TikTok) show you creatives but zero spend data. They are useful for creative intelligence; they are useless for budget analysis. You need a different class of tool for spend estimates.

SEMrush AdClarity is the closest thing to a single source of truth for display, social, and video ad spend. It aggregates data across channels and publishers, shows estimated spend by platform and by campaign, and lets you track trends over months. It does not cover search ads directly (that lives in SEMrush's Advertising Research tool), but for multi-channel spend visibility, nothing else comes close. The catch: it is priced for teams already using the full SEMrush suite.

SpyFu is the budget-friendly alternative for search-heavy marketers. It gives you keyword-level spend estimates, historical ad copy, and budget trends going back years. The UI feels dated, but the data is solid. SpyFu is especially good at surfacing which keywords a competitor values most: look for terms with a high share of total estimated spend. If 30% of a competitor's estimated budget targets a single keyword, that keyword is driving results for them.

iSpionage covers Google, Bing, and Yahoo with estimated budgets, ad copy examples, and PPC history. Its strength is breadth (three search engines). Its weakness is the interface, which has not been updated in years. Use it for foundational keyword research, not for rapid campaign iteration.

Adbeat is the most advanced option for display and programmatic intelligence. It shows you which networks a competitor buys on, what creatives they run, how long each ad stayed live, and estimated spend per placement. It starts at $249 per month and assumes you already have a media buying strategy. If you are running display at scale, it is worth it. If you are a solo founder running search ads, start with SpyFu.

For a broader look at how these fit into a full competitive workflow, read our roundup of the best ad intelligence tools for agencies in 2026.

Free tools that give rough spend estimates

You do not need a paid subscription to start estimating competitor ad spend. Two free Google tools give you enough data to form a rough picture.

Google Keyword Planner shows you top-of-page bid estimates (low and high range) for keywords related to a competitor's domain. Enter their URL, and Google returns terms it considers relevant to that site, along with what it might cost to rank at the top for each one. This is not actual spend data. These are estimates based on Google's ad auction modeling. But combined with a tool that estimates how much paid traffic a competitor gets (SEMrush's free traffic checker, for example), you can multiply estimated clicks by estimated CPC and arrive at a rough monthly spend figure.

Google Ads auction insights works differently: it shows how your ads perform against competitors appearing in the same auctions as you. You need to already be running Google Ads (and have at least 10% impression share) for data to appear. What you get is not spend numbers but competitive visibility metrics: impression share, overlap rate, top-of-page rate, and outranking share. When a competitor's impression share rises while your outranking share falls, they are likely increasing budget or improving ad rank. It is directional, not precise, but it is free and directly tied to your actual auction landscape.

Benchmark triangulation is the free marketer's best move. Combine Keyword Planner CPC ranges with industry benchmarks from Databox or WordStream, then cross-reference with free traffic estimates from Similarweb or SEMrush's free tier. One number is a guess. Three numbers pointing in the same direction is a useful estimate.

How to read spend trends (not just snapshots)

A single monthly spend estimate is nearly useless. Here is why: a competitor could be burning budget on a campaign that is losing money. They could be testing a new channel with no proven return. They could be spending aggressively because they just raised a round and have 18 months of runway to buy market share. None of those scenarios are worth copying.

Trend data is different. Track spend across 4 to 6 months and patterns emerge:

Sustained spend over 6+ months on a specific channel strongly suggests it is generating positive returns. Nobody keeps burning cash on TikTok for half a year if the ROAS is negative.

A sharp spike followed by a drop within 4 to 6 weeks typically means a test that did not work out. The competitor either did not hit their target CPA or found the channel was not worth scaling.

Gradual, steady growth over multiple months suggests a channel the competitor is methodically scaling. This is the strongest signal you can act on. They have found something that works and they are pouring fuel on it.

Seasonal fluctuations (spikes every November, dips every January) reveal the competitor's promotional calendar. If they always increase spend in Q4, plan your own campaigns accordingly.

The key question is not "how much are they spending?" It is "are they spending more or less than last quarter, and is the change sustained?" Direction and duration matter more than the dollar figure.

Where your competitors are spending (and where they are not)

A competitor's absence from a channel is often more actionable than their presence on one. If three of your top five competitors are missing from YouTube ads, that is either an untapped opportunity (the channel works but nobody has tested it properly) or a signal that the channel does not perform in your space (they all tested it and quietly pulled out).

To tell the difference, look at the ads themselves. Open the Google Ads Transparency Center, filter to YouTube and video format, and watch what your competitors ran before they stopped spending. Bad creative, weak hooks, or misaligned messaging suggests poor execution (opportunity for you). Strong creative that still got pulled suggests the channel itself underperformed (skip it).

Here is where the budget is flowing in 2026, based on multiple industry reports:

• Search ads still take roughly 40% of digital ad budgets. If a competitor is spending anywhere, they are spending on Google.
• Social media ad spend crossed $200 billion. Meta and TikTok dominate; LinkedIn is rising for B2B.
• Video ad spend will exceed $120 billion in 2025, and short-form is the format driving most of it.
• Programmatic now accounts for 90% of display ads. Competitors are scaling through automated buying across thousands of sites.
• Retail media (Amazon Ads) is projected to hit $130 billion by 2026. If your competitors sell physical products, they are probably testing this.
• Connected TV (CTV) ad spend is expected to reach $45 billion. Early movers are locking in lower CPMs before the channel gets crowded.

Use these benchmarks as a sanity check. If a tool tells you a competitor is spending $500 per month on Meta Ads and they sell a $50 product with a 2% conversion rate, the math does not work. Either the estimate is wrong or they are testing at a tiny scale. Either way, do not treat it as gospel.

Building a tracking system that works week to week

Competitor ad spend tracking is not a one-time research project. It is a recurring input into your paid strategy. Here is a lightweight system that takes less than an hour per week:

1. Pick your top 3 to 5 direct competitors. These are the brands targeting the same audience with similar products. Do not track 20. You will drown in data and act on none of it.
2. Set up a simple spreadsheet with columns for competitor name, channel, estimated monthly spend, trend direction (up, down, flat), and notes. Update it weekly.
3. Use SEMrush AdClarity or SpyFu for spend estimates. Check Google Ads auction insights for your own competitive visibility metrics. Skim the Meta Ad Library and TikTok Ad Library for new creative angles.
4. Look for changes, not absolutes. A competitor whose estimated Meta spend jumped 40% month over month is worth investigating. A competitor spending roughly the same as last month is not.
5. When you spot a sustained increase, investigate. Open their ads in the platform's transparency center. Look at the creative, the landing page, and the offer. Ask: what would they need to believe about their unit economics to sustain this spend? If you can answer that question, you have found a strategy worth testing yourself.

The goal is not to copy. It is to understand what the market has validated and adapt it to your own unit economics. A campaign that works for a competitor with 3x your budget might not work for you at your scale. But the directional insight ("Meta video ads with UGC-style hooks are working in this category") is transferable.

What to track: the signals that actually matter

Most marketers make the mistake of tracking everything. They monitor 50 competitors across 20 metrics and end up with information overload instead of actionable intelligence. Focus on these signals instead.

Ad creative and copy: This is the most visible signal and the easiest to act on. Track your competitors' ad creatives including images, videos, carousels, headlines, primary text, and calls to action. Look for patterns: which creative formats do they run longest? Which hooks appear across multiple campaigns? What emotional angles do they use? When a competitor refreshes their creative, it usually means the previous version was fatigued. Note the refresh frequency. In competitive industries, top performers refresh creative every 21 days on average.

Platform mix and budget signals: Which platforms is your competitor active on, and how is their spend distributed? A competitor who shifts 30% of budget from Meta to TikTok is telling you something about where their audience is moving. Track estimated monthly spend per platform, and watch for significant shifts of 50% or more month over month. These moves are rarely random. They reflect performance data you cannot see.

Landing pages and offers: The ad is only the front door. Track what happens after the click. Are competitors running discount offers? Free trials? Lead magnets? Changes to landing page structure, pricing, or offers often signal a shift in acquisition strategy. A competitor who suddenly promotes a free trial instead of a demo request is probably optimizing for volume over qualification.

Audience and placement patterns: Which audiences and placements do competitors target? While exact targeting data is not public, you can infer a lot from placement patterns. If a competitor runs heavy on Instagram Reels but not Feed, their audience is younger and video-first. If they appear consistently on high-end publisher sites through programmatic, they are targeting premium demographics. These placement patterns are visible signals of targeting strategy.

How to track competitor ads manually (free methods)

Before spending on tools, start with what is freely available. These manual methods work well for monitoring 5 to 8 competitors.

Meta Ad Library: The most powerful free tool. Search any Facebook or Instagram Page and see every active ad they are running. The library shows creatives, copy, platform (Facebook, Instagram, Messenger, Audience Network), and start date. You can also see whether an ad has multiple versions. Bookmark competitor Pages and check them weekly. Note which ads persist: an ad running for 30+ days with multiple variations is almost certainly a winner. If you want to understand the bigger picture, read our introduction to ad monitoring.

Google Ads Transparency Center: Search any advertiser and see their active Google Ads across Search, Display, YouTube, and Discovery. You can filter by format, region, and time period. This is especially useful for tracking competitor search ad copy. Look for the keywords they bid on by examining their ad headlines and descriptions. A competitor running ads on '[your brand] alternative' is directly targeting your customers.

TikTok Ad Library: TikTok's ad library is newer but increasingly important. Search by advertiser name or keyword to see active and inactive campaigns. Pay attention to which ad formats competitors use: Spark Ads (boosting organic content) versus standard in-feed ads. The format choice reveals their creative strategy. Spark Ads often indicate influencer partnerships worth investigating.

Competitor websites and email signups: Sign up for competitor email lists. Track their landing pages. Use a spreadsheet to log changes to offers, pricing, and messaging. This is tedious but reveals funnel-level intelligence that ad libraries miss. A competitor who changes their landing page headline every two weeks is probably running aggressive A/B tests. That tells you what they are optimizing for.

The manual method works for agencies with a small competitor set and disciplined processes. Block 30 minutes per week per competitor. Use a structured template to log creatives, offers, platforms, and any changes since last week. Consistency matters more than comprehensiveness. A focused 30-minute check every week beats a 3-hour deep dive once a quarter.

How to automate competitor ad tracking

Manual tracking stops scaling around 8 to 10 competitors. Beyond that, you need automation. The ad intelligence tool market has matured significantly in 2026, and the options break into three tiers based on what problem you are solving.

Tier 1: Creative discovery tools. These are best for creative teams who need inspiration more than data. Platforms like Foreplay and Vibemyad focus on visual browsing and team collaboration. They let you search competitor ads, save them to boards, and spot creative trends. Pricing starts around $49 per month. These tools shine when your primary need is understanding what creatives are working, not doing forensic competitive analysis.

Tier 2: Intelligence platforms. These provide deeper data: estimated ad spend, audience demographics, engagement metrics, and historical campaign archives. SpyFu offers 15+ years of Google Ads data for keyword and budget analysis. PowerAdSpy covers 11 platforms including Google, Meta, TikTok, YouTube, and Reddit. SEMrush adds competitive PPC intelligence on top of its SEO toolset. Pricing ranges from $39 to $299 per month. These are right for performance marketers who need to understand budget allocation and campaign longevity, not just creative choices.

Tier 3: Autonomous AI agents. The newest category, and the fastest growing. These platforms do not just show you competitor data. They monitor competitors continuously and automatically adjust your campaigns in response. When a competitor increases bids on your target keywords, an AI agent can respond within hours instead of days. Systems like Ryze AI and adextract monitor 15+ competitor signals simultaneously and execute defensive or aggressive moves based on machine learning models. These are best for agencies managing 20+ accounts or brands with monthly ad spend over $50,000. Pricing starts around $500 per month but the efficiency gain often pays for itself within weeks.

The key decision point: are you trying to understand what competitors are doing, or are you trying to respond to what they are doing? Tier 1 and 2 tools answer the first question. Tier 3 tools answer both. Choose based on whether your bottleneck is research time or response time.

Turning intelligence into action

Collecting competitor data is the easy part. Most agencies fail at the next step: translating data into decisions. Here is a framework for making competitor intelligence actionable.

Tier your competitors. Not every competitor deserves equal attention. Split them into three groups. Tier 1: direct competitors with similar products and audiences (70% of monitoring effort). Tier 2: adjacent competitors who target your keywords but sell different products (25% of effort). Tier 3: aspirational competitors you want to learn from (5% of effort). This prevents the most common failure mode: spreading attention too thin across too many competitors and never acting on any of them.

Build response playbooks. Decide in advance what you will do when specific competitive moves happen. If a Tier 1 competitor launches a campaign targeting your branded keywords, your response should be scripted: increase brand keyword bids by 20%, launch a counter-creative within 48 hours, or both. If a competitor cuts spending by 50% month over month, your playbook should say: increase investment in their abandoned channels within 72 hours. Pre-written playbooks prevent reactive, emotional decisions and ensure consistent strategic responses across your team.

Run weekly competitive reviews. Schedule a 45-minute session each week to review AI-generated competitive intelligence and plan responses. The agenda should cover: high-priority alerts from the past week, trend analysis from your dashboards, competitive campaign performance assessment, and budget reallocation decisions based on competitor moves. Document every decision and its outcome. Over time, this log becomes your competitive playbook, showing which responses actually work and which are wasted effort.

Measure the ROI of your tracking. If you cannot prove that competitor intelligence is improving campaign performance, you will lose budget for the tools and the time. Track these metrics: response time to competitive threats (target under 48 hours), market share defense rate (how often you maintain position when competitors attack), and opportunity capture rate (how often you capitalize when competitors reduce spending). Most teams see a 15 to 25% ROAS improvement within 90 days of implementing structured competitive intelligence.

Common mistakes that waste your time

Tracking too many competitors. Every agency we talk to starts by tracking 30+ competitors and ends up with alert fatigue within two weeks. Start with 5 to 8 direct competitors. Expand only when you have proven you can act on the intelligence from your core set. Quality of insight decreases sharply beyond 15 to 20 competitors because the noise drowns out the signal.

Copying competitor strategies without context. Just because a competitor increases spending does not mean their campaigns are profitable. They might be burning venture capital on customer acquisition with negative unit economics. They might be testing a strategy that fails. Ad intelligence tools show what competitors do, not why they do it or whether it works. Always test competitor-inspired changes on a small scale before full implementation.

Reacting to every competitive move. Not every competitor campaign deserves a response. Develop criteria for when intelligence triggers action versus passive monitoring. Respond when: competitors target your branded keywords, launch campaigns during your peak seasons, enter new geographic markets you dominate, or significantly outspend you on high-value audiences. Ignore everything else. The goal is faster response time on the moves that matter, not faster response time on everything.

Tracking without acting. This is the most expensive mistake. Collecting competitor data without a process to turn it into campaign decisions is just a hobby. If you cannot point to at least one campaign decision in the past 30 days that was directly informed by competitor intelligence, you are not tracking. You are procrastinating with dashboards.

Start tracking this week

You do not need the perfect tool stack to start. Pick your top 5 competitors. Open the Meta Ad Library and Google Ads Transparency Center. Spend 30 minutes per competitor logging what you find. Do this every Monday for four weeks. At the end of the month, you will have more actionable competitive intelligence than 80% of agencies in your market. From there, add tools only when you have proven you can act on the intelligence you are already collecting.

2026 update: retail media and CTV changed the tracking map

Two budget pools now sit outside the classic search and social tracking playbooks: retail media and connected TV. Retail media is projected to pass $130 billion, and CTV spend is heading toward $45 billion. Most spy tools still ignore both, so a competitor shifting budget into Amazon Ads or a CTV platform can move millions without ever appearing in your SEMrush report.

That blind spot matters because it distorts the channel mix you infer. If a competitor looks quiet on Google but is buying Amazon sponsored placements aggressively, your takeaway should not be that they are slowing down. It should be that they moved budget where your tracking cannot see it.

Update your tracking system to include these sources: Amazon Ads transparency pages for retail media, and platform placement reports from the CTV networks your competitors buy. Combine those with Keyword Planner bid estimates for search and the ad libraries for social, and you get a four-source triangulation instead of a two-source guess.

For the social side of that map, read how to monitor competitor native ads, which covers sponsored content placements that behave like native but run on programmatic networks.

And when a competitor's search spend shifts, use the signals in our guide on detecting Google Ads budget changes to tell a real ramp from a routine test.

The bottom line: in 2026, a spend estimate is only useful if you know what it excludes. Add retail media and CTV to your tracking sheet, and treat any tool that claims full coverage with skepticism.

A second blind spot is cross-border spend. Competitors targeting EU markets spend in euros, and currency swings can make a flat budget look like a cut. Track estimated spend in a single reference currency and note the exchange rate each month so your trend line reflects real changes, not FX noise.

Finally, keep a public-source audit trail. Note the date, tool, and estimate range for every number you log. Six months from now you will not remember whether the $40k figure came from SpyFu or AdClarity, and that context decides whether a trend is real or an artifact of the tool changing its methodology.

If your agency reports to clients, package these signals as a quarterly competitive spend brief: channel mix, spend direction, new entrants, and the one or two moves you recommend. Clients fund what they can see, and a clean spend-trend narrative is easier to renew than a spreadsheet of raw estimates.

2026 update: AI agents and MCP servers changed the tracking stack

AI agents and MCP servers changed the tracking stack. Instead of checking ad libraries by hand, teams now connect platform APIs directly into agent workspaces. The Meta Ads Library API and the Google Ads API both have MCP servers, so an agent can pull competitor creatives, log new ads, and file changes to a spreadsheet on a schedule. The manual Monday ritual from the start of this guide now runs on autopilot while you review the output.

A practical weekly rhythm for 2026 looks like this: Monday, an agent pushes a digest of new competitor ads to your Slack channel or inbox. Tuesday, you review the digest and flag anything that matters for your accounts. Wednesday, your team tests one counter-move inspired by the strongest signal. Friday, the agent logs the week's changes to your competitor tracker. The whole loop takes about 90 minutes of human time per week, down from the four to six hours manual checking used to cost.

One caution from teams that moved too fast: automation does not replace judgment, it concentrates it. When an agent flags a competitor shift, someone still has to decide whether it matters for your accounts. The teams that keep a human in the loop on Tuesday review, and use the agent only for collection and logging, get the speed without the noise. Treat the tool as an analyst that never sleeps, not as a decision maker.

Teams that pair an agent workflow with a weekly review cycle report response times dropping from days to hours. For the full picture on agent-based tracking, read our guide on how AI agents find competitor ads, or start with the Meta Ads Library API to pull creatives programmatically.

August 2026 update: what changed for spend tracking

Three shifts since the last refresh are worth building into your tracking sheet. Retail media and CTV estimates are now common in spy tools, so the blind spots from the section above are narrowing. More platforms publish their own transparency data, which makes triangulation easier. And AI agents generate weekly spend digests from the ad libraries, so the manual Monday check can shrink to a review.

When you are comparing tools, our guide to competitor ad monitoring tools covers the newest entrants. For the Google side of the map, the auction insights walkthrough shows how to read budget gaps in your own account.

One practice we see in teams that get value from this data: log the estimate range and the tool version next to every number. A $40k figure from one vendor and a $45k figure from another are the same signal if you note the source. That audit trail is what makes your six-month trend line defensible in client reports.

A final note for agencies: package these signals as a quarterly competitive spend brief, channel mix, spend direction, new entrants, and the one or two moves you recommend. Clients fund what they can see, and a clean spend-trend narrative renews faster than a spreadsheet of raw estimates.

September 2026: a five-step monthly spend review

Spend estimates only earn their keep when you review them on a cadence. Here is a five-step monthly review that turns raw estimates into decisions, built for teams using the tools from this post.

Step one: pull the month's estimates for your five most important competitors. Write the direction next to each: up, down, or flat. Direction matters more than precision, because every estimate carries error.

Step two: compare the direction against the previous two months. One month of decline is noise. Two months in the same direction is a pattern, and patterns are what trigger action.

Step three: check for platform shifts. A competitor moving 30% of estimated spend from Meta to TikTok is a strategy signal, not a reporting artifact. Note the shift and look for matching creative changes in their ad library.

Step four: reconcile the estimate against observed signals. If a tool says spend is up 40% but the ad library shows the same three ads for six weeks, question the number. Cross-check with the manual methods from this post.

Step five: decide what to do. Every review should end with at least one decision: adjust your own budget, refresh a creative, or watch a specific competitor for another month. No decision, no review.

Teams that run this monthly review consistently report catching budget shifts two to four weeks earlier than teams that only check ad libraries. The discipline is cheap and the payoff compounds.

To automate the collection side, our guide on building an MCP-powered competitive ad intelligence stack shows how agents can pull estimates and log them to a sheet on schedule.

And if you are a solo founder building this from scratch, the guide on building an ad intelligence system walks through a budget-friendly setup with the same monthly rhythm.

What to do when the numbers disagree

Two spend tools rarely return the same number for the same competitor. One might estimate $80k a month, another $120k, and a third stays silent because the competitor's budget is below its detection floor. That gap is normal, and it does not make the tools useless.

Treat estimates as directional bands, not precise figures. What matters is whether the band moved meaningfully: up 30% or more, down 30% or more, or flat. A tool that consistently overestimates is still useful if it overestimates the same way every month, because the trend line stays honest.

When two tools disagree on direction, trust the one that matches observable signals: ad count in the library, new creative frequency, and estimated impression share. Those ground-truth signals are harder to fake than a modeled spend figure.

One more September note: keep an eye on retail media. Amazon Ads and other marketplace platforms are now surfacing more advertiser data, and spend that moves to retail media can disappear from traditional ad library trackers. Add marketplace placements to the monthly review if your competitors sell there.

A practical example from a recent audit: one client's competitor doubled estimated Meta spend over six weeks. The manual library check showed the same core creatives, so the team dug into placements instead of budgets. The real shift was in Advantage+ placement mix, which the spend estimate did not show. The lesson: use spend numbers to start the investigation, not to end it.

Keep the monthly review at 45 minutes. If it runs longer, you are tracking too many competitors or too many metrics. Trim the list until the review fits the window, because a review that happens every month beats a perfect one that happens twice a year.

Frequently asked questions