What a Senior Media Buyer Looks for in Rival Ad Accounts: A Guide to Ad Account Intelligence

Ad Account Intelligence: What Senior Media Buyers Look for in Competitor Ads

A senior media buyer doesn't start by looking at individual ads. They look for change: which ads are new, which have been switched off, and which keep running week after week. Those patterns hint at budget shifts, format experiments and messaging pivots. Tracked weekly, they turn a scatter of competitor ads into ad account intelligence.

That's the short version. The rest of this guide covers the signals experienced media buyers watch for, how to read them honestly, and how to build a weekly habit around competitor ad analysis. 🎯

Why senior media buyers look at patterns, not individual ads

You've probably been here. You open a competitor's page in the Meta Ad Library, scroll through forty ads, and close the tab feeling like you've learned nothing. A few nice creatives, a couple of offers you already knew about, and no idea what any of it means.

The problem isn't the ads. A single ad is a snapshot, and the story is in the movement: what appeared this week, what quietly vanished, what has been running unchanged since before Christmas. A senior buyer reads an account the way a doctor reads a chart over time, not a single temperature reading.

That's what I mean by ad account intelligence: reading an account's behaviour over time instead of admiring one creative. There are three types of signal to watch:

• Budget signals: where investment appears to be moving
• Format signals: new platforms, placements and creative styles
• Messaging signals: shifts in positioning, offers and audience

You can do all of this without access to anyone's ad account, using public ad libraries and monitoring tools.

One rule for the whole guide: you can observe activity (what's running, what's new, what's stopped). You can't observe spend, results or intent. Everything below is inference, so treat each signal as a hypothesis to corroborate, and look for the same pattern across several weeks or several signal types before you act on it.

I'll keep coming back to this idea, but I won't repeat the full caveat every time.

What do experienced media buyers check first?

Before I look at a single headline or image, I run a quick triage. It takes about ten minutes, and it stops me getting lost in creative detail before I understand the bigger picture.

1. Confirm where they're advertising. Check Meta, Google Ads, TikTok and LinkedIn. Platform presence is itself a signal. If a B2B software brand has only ever used LinkedIn and Google and now has TikTok ads, that tells you something.
2. Count active ads per platform. Compare with last week. You're not after precision, just a read on whether activity is rising, flat or falling.
3. Sort by longevity. Ads that have survived for weeks or months deserve a closer look. Longevity is a clue, not a verdict. A long-runner might be a proven performer, but it could just as easily be an always-on brand ad, a low-spend ad nobody has got round to switching off, or an evergreen offer.
4. Flag anything launched in the last seven days. New ads are either tests or the start of a fresh push. Either way, they show where attention is going right now.
5. Note what has vanished. Stopped ads often tell you more than new ones. A long-runner switching off can mean a winner has fatigued, an offer has ended or a strategy has changed.

I do this triage first, every time. Only then do I dive into creative and copy, and by that point I know which ads deserve my attention.

Budget signals: what indicates a competitor's ad budget is shifting?

Let's start with the question everyone wants answered: where is the competitor putting their money? Public libraries generally don't reveal spend for ordinary commercial ads. Meta's Ad Library, for example, publishes spend and impression ranges mainly for ads about social issues, elections or politics, and Google's Ads Transparency Center is focused on advertiser verification and the ads shown, not spend. Coverage and history differ by platform and region, so check each library's current documentation: Meta Ad Library, Google Ads Transparency Center and TikTok Commercial Content Library.

That means active-ad counts, creative variety and longevity are directional evidence at best. Here's what I watch for, along with the other explanations I keep in mind:

• Volume surges. A sudden jump in active ads on one platform may point to extra budget or a new campaign push. It could also be a seasonal campaign, a product launch or a new agency clearing a backlog.
• Creative duplication. Lots of variations on one message can suggest structured testing or a team scaling something that works. It can also be routine asset production, localisation, or one creative adapted to several placements, so I treat it as a weak indicator.
• Longevity. An ad running largely unchanged for six weeks or more is worth noting. It might be funded because it performs, or it might be a low-cost evergreen ad. Look for corroboration, such as sibling ads being built around the same message.
• Platform migration. Ad counts rising on TikTok while falling on Meta can indicate a reallocation of budget, particularly if the shift holds for several weeks.
• Seasonal ramp-ups. In the UK, watch Black Friday, January sales, Easter and payday periods. How early a competitor starts building toward them tells you a lot.
• Quiet pauses. A sharp drop across every platform may signal a budget freeze, a stock issue or a pre-launch reset. It may also be a gap in what the library is showing you, so check before you conclude anything.

How to read a possible budget shift: a worked example

Here's an illustrative scenario. It's hypothetical, but typical of what we see. A competitor has had around 20 active Google ads and 12 LinkedIn ads for most of the quarter, plus about 15 on Meta. Over three weeks, I log this:

Week	Platform	Observation	Hypothesis	Confidence
1	Meta	15 to 28 active ads, 10 new, all variations of one 'free audit' offer	Testing a new offer	Low
2	Meta	28 to 41 active ads; week-1 ads still live	Early ads survived, so the test may be working	Low to medium
2	LinkedIn	12 to 7 active ads, none new	Possible budget pull-back	Low
3	Meta	41 to 49 active ads; the 'free audit' landing page is now in the site navigation	Offer is becoming a core acquisition push	Medium
3	Google / LinkedIn	Google 20 to 6, LinkedIn 7 to 2	Budget reallocating toward Meta direct response	Medium

See how confidence climbs? Week one alone is just a burst of new ads. By week three the pattern has repeated, the early ads have survived, and an independent cue (the landing page change) points the same way.

I'd still keep the competing explanations open: a seasonal promotion, a paused Google inventory feed, or a change in what the libraries were showing. What would raise my confidence further? Another two or three weeks of the same pattern, or the 'free audit' wording turning up in their email and organic content. What would lower it? Meta ads switching off again within a fortnight.

Format signals: new platforms or placements

Budget tells you how much attention something is getting. Format tells you how a competitor is trying to win it. Here's what I look for:

• First appearance on a new platform. A B2B brand suddenly running TikTok ads, or an ecommerce brand testing LinkedIn, is worth noting straight away.
• Shifts in creative format, such as static to video, UGC-style to polished, or carousel to short-form vertical.
• Changes in length and structure. Hooks getting shorter, captions getting longer, or a new opening line repeated across ads.
• Landing page differences. Product pages, lead forms and long-form content each tell you what the campaign is really for.
• Google Ads format hints. Search-heavy activity points to capturing existing demand, while a growing video or display footprint suggests building it.

A newly visible platform or placement is a test signal, not proof of success. Look for repeated creative variations and sustained activity before you infer real commitment.

Format is also only a clue to placement. Vertical, sound-led video suggests testing for Reels, TikTok or Shorts, but platforms crop and adapt assets, and the same ad can run across several placements. Google's Performance Max is the classic example: one campaign can serve across YouTube, Display, Discover, Gmail, Maps and Search. So spotting a rival on YouTube doesn't automatically mean a dedicated YouTube strategy. Similarly, native-looking creator videos might be Spark Ads, which promote organic posts, but you can't tell how something was bought from how it looks.

Here's a scenario I find useful. A rival runs the same product message as a polished feed image and as several vertical, creator-style videos. Record the variations and dates, then test a short-form treatment against a proper control rather than assuming the newer format is the winner.

A format change usually means they're testing, they're responding to declining performance, or they're targeting a new audience. Don't copy the format. Ask what problem the competitor is trying to solve with it.

Messaging signals: positioning pivots

Messaging changes are the ones I find most interesting strategically, because copy is cheap to change and expensive to get wrong. When a competitor rewrites their pitch across many ads, they've usually learned something. What to look for:

• Headline and hook changes. Price-led to value-led, or feature-led to outcome-led. 'From £19 a month' becoming 'Stop losing hours on reporting' is a positioning shift, not a copy tweak.
• New claims or proof points, like awards, review counts, guarantees and statistics. Brands tend to add proof when trust is the barrier.
• Audience language shifts. Speaking to a new job title, industry or life stage suggests they're widening or moving their target.
• Offer changes: discounts appearing or disappearing, free trials replacing demos, new bundles.
• Competitor-aware copy. Ads that start comparing or calling out rivals. Sometimes that rival is you.
• Cross-platform consistency. Do LinkedIn and Meta tell the same story or different ones? Different stories can point to separate audience strategies, or to teams working in silos.

Here's how I log a pivot so it's useful later: the old message, the new message and the date it first appeared. After a few months, that log becomes a timeline of how a competitor's thinking changed, and you can often see the next move coming.

A quick comparison: what each competitor ad signal tells you

Here's a checklist version to keep next to you during reviews. The confidence column shows where I start. It rises as the same pattern repeats across weeks or gets backed up by another cue, such as a matching landing page update.

Signal type	What to look for	Likely meaning	Starting confidence	What raises confidence	Suggested action
Budget	Volume surges, many variations of one message, long-running ads, platform shifts, early seasonal ramps	Scaling a winner, reallocating channels or preparing a big push	Low to medium	Same trend over 3+ weeks, long-runners alongside new variations	Check your share of voice on that platform and review your testing cadence
Format	New platform, static-to-video, shorter hooks, different landing pages	Testing a new audience or reacting to fatigue	Low	Repeated variations, sustained activity, dedicated landing pages	Form a hypothesis and run a controlled test of your own
Messaging	New headlines, proof points, offers, audience language or rival call-outs	Positioning pivot or response to market pressure	Medium to high	Change repeated across many ads and platforms	Review your positioning, defend against new offers, look for gaps

Messaging gets the highest starting confidence because you can see it directly in the copy. Budget gets the lowest because it's furthest from anything we can actually observe.

How do you audit a competitor's ad account like a pro?

So how do you pull all this together? Here's the process I'd follow.

1. Pick three to five competitors. Trying to watch the whole market is how reviews die. Choose direct rivals and perhaps one aspirational brand.
2. Gather the ads you can see across platforms. Use the Meta Ad Library, Google's Ads Transparency Center and TikTok's commercial content library, or an ad monitoring tool. Coverage, filters and history differ by platform and region, so you may not see everything, and you can't always reconstruct past weeks after the fact.
3. Use the same window and method every week. Capture on the same day, with the same country and platform filters. Otherwise a change in your method can look like a change in the market.
4. Archive creatives and copy. Ads disappear and memory is unreliable. If you didn't save it, you can't compare it.
5. Sort into new, stopped and continuing. Count duplicated creatives once per concept rather than once per placement, and note whether you're counting ads or variations, so your numbers stay comparable.
6. Group findings by signal type: budget, format, messaging. It stops you drowning in individual ads.
7. Write a one-line hypothesis and a confidence level for each notable change. If you can't write the line, you haven't understood the change yet.
8. Decide what, if anything, you'll do differently. Sometimes the answer is nothing, and that's fine.

A simple log is enough to start:

Date	Competitor	Platform	Status	Evidence	Hypothesis	Confidence	Library gaps?
3 Mar	Brand A	Meta	New (9 ads)	Same 'free audit' hook, 3 formats	Testing new offer	Low	None noted
10 Mar	Brand A	Meta	Continuing (9) + new (13)	Week-3 ads still live	Test is working	Low to medium	None noted

I'll be straight about the manual effort. Doing this by hand for four competitors across four platforms means a lot of screenshotting, spreadsheet-wrangling and squinting at dates. It's doable, and I'd recommend doing it manually once to learn what matters, but it's also where tools can earn their keep.

Putting competitor ad account intelligence into a weekly review habit

A brilliant audit you do once is worth far less than a decent review you do every week. Here's a routine that works.

1. Choose a fixed slot. Monday morning works well, because the weekend's launches are visible and you're planning the week anyway.
2. Spend 10 minutes scanning the diff. New, stopped and continuing ads, in that order.
3. Spend 15 minutes on the two or three changes that matter most. Resist the urge to analyse everything.
4. Update your log. The timeline is the asset. Six months in, you'll see seasonal patterns and strategic arcs that no single week could show.
5. Share a short summary with creative, strategy and account leads. Three bullets is plenty.

If you'd rather not do the collection by hand, that's the workflow we built Rival Ads around. You give us a competitor's website and we look for their presence on Meta, Google, TikTok and LinkedIn, with no ad account connection needed. We then collect the active ads those platforms make publicly visible each week, and show week-over-week diffs of what's new, what's stopped and what's continuing. An AI-generated analysis, powered by Claude, suggests how to read the changes, but treat it as a starting hypothesis to check, just like your own. Results arrive in the dashboard and a weekly email digest. Coverage depends on what each platform exposes publicly, so some ads or history may not be available. Plans start at $29/month, and agencies can use roles, competitor assignment and whitelabel options.

Whichever way you do it, consistency beats intensity. Twenty-five focused minutes every Monday will teach you more than a heroic four-hour deep dive every quarter.

Turning ad account signals into decisions (and avoiding common mistakes)

Collecting signals is the easy bit. Here are the traps I see most often.

• Copying creative instead of learning from strategy. Their ad worked for their audience, offer and brand. Ask why they made it, then test your own version.
• Over-reading a single week. One week is noise until it repeats, which is also why consistent capture matters.
• Ignoring what competitors stop doing. If a long-runner disappears, find out why before you copy it.
• Only tracking one platform. A competitor falling on Meta might be surging on TikTok.

There are a few practical ways to put insights to work:

• Adjust your testing roadmap. If rivals are moving to outcome-led hooks, test whether your audience responds the same way.
• Defend against competitor offers. If a new discount or bundle appears, decide early whether to match it, counter it or ignore it.
• Find gaps in positioning. When everyone is shouting about price, there may be room for the brand that talks about trust or service.

My advice is to start small. Pick three competitors, set a Monday slot and log what you see. Within a month you'll be reading ad accounts the way senior buyers do. 🙌

FAQ: ad account intelligence and competitor ad analysis

What do experienced media buyers check first when looking at a competitor's ads?

They check where the competitor is advertising, how many ads are active, and what has changed since last week. New launches, stopped ads and long-running ads give a fast read on testing and priorities before any creative analysis begins.

Can you tell how much a competitor is spending on ads?

Not reliably. Public ad libraries and monitoring tools show what's running, not what it costs. Rising ad volume, many variations and long-running ads can suggest where investment is heading, but treat them as hypotheses and wait for the pattern to repeat.

How often should I review competitor ad activity?

Weekly works for most teams. It's frequent enough to catch launches and pauses, but not so frequent that you over-react to noise. Peak periods like Black Friday may justify an extra mid-week check.

Is it legal to monitor competitor ads in the UK?

Reviewing ads that platforms publish openly, for example through the Meta Ad Library or Google's transparency tools, is a common part of competitive research. Things get more complicated when you collect, store or reuse that data at scale. Platform terms may restrict automated collection, and if the material includes personal data, such as identifiable people, UK data protection rules can apply. This isn't legal advice, so check the terms of each library and take professional advice if you plan to process data beyond simple review.

Do I need access to a competitor's ad account to analyse it?

No. Everything described here relies on publicly visible ads. Tools like Rival Ads only need the competitor's website to look for their platform presence and collect the ads that are publicly available, though coverage varies by platform.