5 Questions Every CMO Should Ask About Competitor Ad Strategy

5 Competitor Ad Strategy Questions Every CMO Should Ask

Every CMO should be asking five specific competitor ad strategy questions: where competitors are increasing ad activity, what messaging they're testing now, which platforms they're prioritising, what they've recently abandoned, and how fast the team can react if something shifts. Answering these consistently, not just once a quarter, requires an ongoing rhythm of competitive ad intelligence rather than the occasional manual scroll through the Meta Ad Library or Google's Ads Transparency Centre.

A few months ago, I watched a competitor launch a campaign that ran for eleven days before anyone on a client's team noticed it. By the time it came up in a meeting, the competitor had already tested three variations of the offer, settled on the winner, and moved on. We spent the meeting reacting to something that had already finished playing out. That's not a strategy conversation. That's damage control, and it's more common than most marketing leaders would like to admit.

The good news is this doesn't have to be the norm. Build these five questions into your regular meeting rhythm, and competitive intelligence stops being a reactive scramble and starts looking more like a proactive advantage, provided you're honest about what the evidence can and can't tell you.

Why competitor ad intelligence belongs on the CMO's agenda

Competitive intel used to be something you reviewed once a year, maybe ahead of annual planning. In the UK paid media market, that cadence no longer matches reality. Creative gets refreshed weekly on Meta and TikTok, budgets get reallocated within a single sprint, and new platforms get trialled in days rather than quarters. The ASA's ongoing scrutiny of online ad formats has also pushed brands to iterate faster on compliant messaging, which means the ads you see today may not be the ads running next week.

Here's the uncomfortable part: most CMOs only see competitor ads reactively. You notice a campaign after it's gained traction, after sales has already fielded three calls asking why you don't have a similar offer, after the window to respond strategically has quietly closed.

The fix isn't more effort from your team, it's better framing, and a clearer sense of what's actually your job as CMO. You're not there to copy what a competitor is doing; you're there to interpret the signal, decide whether it's commercially relevant to your audience, and allocate resources accordingly. When you treat these five questions as a recurring agenda item rather than a one-off audit, the conversation shifts from "let's check on competitors sometime" to "here's what changed this week, here's what we think it means, and here's what we're doing about it."

Think of this less as a checklist you complete once and more as an operating rhythm you run on repeat.

Question 1: Where are competitors increasing ad activity?

Ask: Which competitors have scaled up ad volume, added new creative variations, or expanded into a platform they weren't using 30–60 days ago?

Evidence to review: New ad counts, creative refresh rate, and platform expansion across Meta, Google Ads, TikTok and LinkedIn.

Decision it informs: Whether to prioritise a counter-message, test a similar angle for your own audience, or simply flag it as noise.

Important caveat: Public ad libraries show activity, not budget. Rival Ads platforms can tell you a competitor is running more ads or testing more variations, but they generally can't tell you how much money is behind those ads. Treat increased activity as a directional signal that a competitor believes something is working, not as confirmed spend data.

Increases in activity rarely show up first in market share reports or earnings calls. They show up as more creative variations, more frequent refreshes, or a competitor testing a platform they'd previously ignored. By the time the bigger business impact is visible, a competitor has often been iterating for weeks already.

This pattern is genuinely hard to spot by eyeballing a handful of ad accounts once in a while, which is where systematic monitoring earns its place (more on that later). For now, the key discipline is separating what you can observe (activity, creative volume, platform presence) from what you're inferring (that it's working, that it's worth copying, that it justifies your own budget shift).

Question 2: What messaging are competitors testing now?

Ask: What value propositions, offers, or pain points are competitors leading with this month versus last month?

Evidence to review: Group ads by the promise they make, the proof point they use, the offer structure, the audience they seem to target, and the call to action, then compare those groups over time rather than judging any single ad in isolation.

Decision it informs: Whether to adjust your own message map, test a new angle, or hold your current positioning with more confidence because the shift doesn't apply to your segment.

Important caveat: A single new ad rarely means much. Creative rotation, seasonal offers, and routine A/B testing all produce short-lived messaging changes that don't reflect a genuine strategic shift. Look for a pattern across at least eight to ten ads over several weeks before drawing a conclusion.

Ad volume tells you that something is happening. Messaging tells you what a competitor believes is working, or where they think the market is heading. Are they shifting from price-led messaging to outcome-led messaging? Leaning into a pain point they weren't mentioning before? Testing a positioning angle aimed at a different customer segment entirely?

Raw ad text alone doesn't answer these questions. It needs interpretation. Some monitoring tools now offer AI-assisted summaries that group creative by theme and flag likely shifts, which can save hours of manual sorting. Treat those summaries as a starting hypothesis to validate, not a verdict.

Question 3: Which platforms are competitors prioritising?

Ask: Has a competitor shifted spend from Meta to TikTok, or started running LinkedIn ads for the first time?

Evidence to review: Presence and absence of ads across platforms over a rolling 4–6 week window, cross-checked against any known product launches or seasonal campaigns.

Decision it informs: Whether your own channel mix needs revisiting, or whether this is a one-off test that doesn't warrant a reaction yet.

Important caveat: A platform shift doesn't automatically mean a change in target audience or company strategy. It can also reflect a short-term test budget, a new hire experimenting with a channel, a seasonal push, or simply a creative agency trying something new. Validate before acting.

Platform choice is still a useful signal, and it's one that's easy to miss if you're only glancing at one channel at a time.

Signal	What It May Mean	What to Validate Before Acting
New LinkedIn ads appear	Possible move upmarket or B2B focus shift	Check job titles in any visible targeting cues, landing page language, and whether it persists past a few weeks
Meta spend drops, TikTok rises	Targeting a younger or more visual-first audience	Confirm it's sustained, not a single seasonal campaign
Google Ads volume spikes	Capturing high-intent search demand, often paired with a promo	Check for a matching landing page or limited-time offer
Sudden multi-platform presence	Scaling a message that tested well elsewhere	Compare the creative across platforms, if it's identical, it's likely a broad rollout rather than audience-specific targeting

Manually checking four ad libraries every week isn't realistic for most teams, and it's an easy thing to automate so a person doesn't have to.

Question 4: What have competitors recently abandoned?

Ask: What campaigns, offers, or creative angles has a competitor stopped running in the last few weeks?

Evidence to review: Ads that were active and then disappeared, cross-referenced against how long they ran and whether similar messaging reappears elsewhere.

Decision it informs: Whether to deprioritise testing a similar angle yourself, or whether it's worth a smaller test before ruling it out.

Important caveat: A stopped ad doesn't automatically mean the idea failed. Campaigns end for plenty of reasons unrelated to performance: a promotion running its course, a policy restriction, a seasonal calendar, a budget reallocation, or a planned creative refresh. Check whether the same message reappears in a different format or on another platform before assuming it flopped.

This question gets overlooked more than any other on this list, and that's a mistake. New campaigns get attention. Abandoned ones disappear quietly, and that silence can be just as informative, provided you treat it as a clue rather than a conclusion.

The practical problem is that paused ads don't send a notification. They simply vanish from view, and unless you were watching the week before, you'd never know they existed. This is one of the clearer cases where systematic tracking beats occasional manual checks, simply because it catches the before-and-after that a single glance would miss.

Question 5: How fast can we react if something shifts?

Ask: If a competitor launches a major new campaign tomorrow, how long before our team even finds out, and how long after that until someone owns the decision?

Evidence to review: Your own detection and response timeline over the last two or three competitor moves. Be honest about it.

Decision it informs: Whether your monitoring process needs a defined service level, and who's accountable for closing the loop.

Important caveat: Speed for its own sake isn't the goal. A fast reaction to a low-relevance signal wastes resource just as surely as a slow reaction to a genuine threat. Pair speed with the judgement built through Questions 1–4.

For a lot of teams, the honest answer here is uncomfortable. Most discover competitor moves weeks late, usually because someone happened to see an ad while scrolling their own feed. A useful fix is to set explicit targets rather than leaving detection to chance: aim to spot meaningful competitor activity within seven days, assign an owner to assess it within 24 hours, and reach a go/no-go decision on a response within 72 hours. Whether that decision is automated detection or a scheduled manual review matters less than having the targets in the first place.

How to build competitor ad strategy questions into your meeting rhythm

Knowing the right questions doesn't help much if they only get asked once a year. Here's a simple way to build them into how your team actually operates, including a short agenda you can lift directly into a recurring meeting:

• Make it a standing agenda item. A 15-minute slot in your biweekly marketing meeting: what changed, what's credible, what's commercially relevant, who owns the response, and when it gets reviewed again.
• Assign clear ownership. One person is accountable for triaging competitor signals, even if the data collection itself is automated. Ownership is what stops it falling through the cracks.
• Use a passive delivery format. A weekly digest means the answers land in an inbox rather than requiring someone to go looking for them between other priorities.
• If you're an agency, plan for scale. Managing this across multiple client accounts usually means you need role-based access and per-client competitor lists to keep things manageable rather than chaotic.

The goal isn't to turn your team into full-time competitive analysts. It's to make sure these competitor ad strategy questions get answered on a consistent cadence, with enough context attached that the answers actually inform a decision.

Competitor ad monitoring tools: what to consider

You can run this process with spreadsheets and scheduled manual checks of each platform's ad library. Plenty of teams do, especially early on. It's just slower, and easy to let slip when the week gets busy. Automated ad monitoring platforms (Rival Ads is one example among several in this space) reduce the manual overhead by tracking competitor ad activity across multiple platforms and flagging changes over time. Whichever route you take, the discipline matters more than the tool: separate what you've observed from what you're inferring, and check pricing, platform coverage and feature claims directly with any vendor before committing, since these details change often.

FAQ: Competitor ad strategy questions for CMOs

What questions should leadership be asking about competitor ads?

At minimum: where are competitors increasing ad activity, what messaging are they testing now, which platforms are they prioritising, what have they recently abandoned, and how quickly could our own team react if something shifted. The value comes from asking these on a consistent schedule, not from a one-off audit.

How often should this come up in strategy meetings?

Monthly at minimum, weekly if your market moves fast. Ad platforms change constantly, and competitors can launch or pull campaigns within days, so a recurring check-in, rather than an annual review, keeps the questions answerable without extra last-minute research.

What's the fastest way to get visibility into these answers without a big research effort?

Automated monitoring across the major platforms (Meta, Google Ads, TikTok, LinkedIn) is generally faster than manual checks of individual ad libraries, since it surfaces changes without someone having to remember to look. Whatever tool you use, confirm exactly what it tracks: ad activity and creative changes are commonly available, verified spend data usually isn't.

Do I need to monitor every competitor, or just the biggest ones?

Start with three to five direct competitors whose moves genuinely affect your pricing or positioning decisions. You can expand later; most monitoring approaches, manual or automated, scale reasonably well once the initial process is in place.

Can smaller teams realistically compete with this kind of intelligence, or is it only useful with a big budget?

If anything, it matters more for smaller teams. You can't outspend larger competitors, so knowing what's already been tried (and what's already been abandoned) helps a lean team avoid repeating expensive mistakes and focus limited budget on angles more likely to work.