If you've been running Google Ads for more than a couple of years, you've probably felt it — that creeping frustration where CPCs are up, match types are looser than ever, automation feels like it's working against you, and the ROI you used to take for granted just isn't there anymore. A common question in the r/PPC community right now is whether Google Ads has genuinely gotten worse, or whether practitioners just need to adapt their playbooks. The honest answer? It's both — and knowing the difference between platform decay and strategic drift is the first step to getting your numbers back on track.
Let's be honest with ourselves before we get into solutions. The frustration practitioners are expressing isn't just rose-tinted nostalgia for the days of exact match and manual CPCs. Real, structural changes have made Google Ads objectively harder to operate efficiently at the same effort level as 2018 or even 2021.
Here's what's actually different:
Before you change tactics, you need to know where the problem lives. Blanket frustration won't fix a specific account. Here's a diagnostic framework I use before touching anything in an account that's underperforming.
Pull your Search Impression Share (IS), IS Lost to Budget, and IS Lost to Rank at the campaign level for the last 90 days. High "Lost to Budget" means your issue is financial, not strategic. High "Lost to Rank" means quality score, bid strategy, or both are working against you. Don't confuse these — they have completely different fixes.
Download your Search Terms report. Create a pivot table. What percentage of your spend has a visible search term? In a well-managed account with tight match types, you should see 70–85% of spend with identifiable queries. If you're below 50%, your match types are too loose, or broad match is running without adequate negative keyword architecture.
Pull Auction Insights for your top-spend campaigns. Has a major new competitor entered? Have incumbent competitors increased their impression share by 15%+ in the last six months? Sometimes "the platform got worse" is actually "the auction got more competitive in my specific niche."
Check your attribution model. If you're on last-click and you switched to data-driven attribution in the last year, your reported CPA will look worse even if underlying performance is the same. Equally, if your sales cycle is 30+ days, look at conversion lag reports before declaring a campaign dead.
Smart Bidding is the single most complained-about topic in the r/PPC community — and also one of the most misused. The algorithm is powerful when fed correctly; it's a liability when it isn't.
Google's own documentation suggests Target CPA and Target ROAS work best with at least 30–50 conversions per month at the campaign level. In practice, I've seen stable performance with as few as 20 monthly conversions, but below that, the algorithm is essentially guessing. If your campaigns are below this threshold, you have two options:
Setting a Target CPA 40% below your historical CPA and expecting the algorithm to find more efficient conversions is not how this works. Smart Bidding reads targets as constraints, not aspirations. If you set an unreachable target, the algorithm restricts spend so aggressively that your volume collapses.
The right approach: set your initial target at your 30-day actual CPA, run for 2–3 weeks with full observation, then adjust in increments of 10–15% maximum. Patience here pays dividends that impatience destroys.
If you manage five or more search campaigns in the same account targeting related audiences, consider consolidating them under a Portfolio Target CPA or Portfolio ROAS strategy. This allows Google to shift budget dynamically between campaigns in real-time rather than each campaign bidding in isolation. In accounts I've managed above $50k/month in search spend, portfolio strategies typically deliver 8–15% efficiency improvement versus individual campaign Smart Bidding.
The old tiered match type strategy — exact for winners, phrase for discovery, broad for exploration — still has merit but needs updating. Here's the framework I use across managed accounts now.
| Match Type | Best Use Case | Negative Keyword Need | Budget Allocation |
|---|---|---|---|
| Exact Match | Proven high-intent terms with strong conversion history | Low — but still needed for variants | 40–60% of search budget |
| Phrase Match | Mid-funnel discovery & controlled expansion | Medium — weekly review recommended | 20–35% of search budget |
| Broad Match | High-volume accounts with robust Smart Bidding & negatives in place | High — daily/weekly review critical | 10–20% max until proven |
The controversial truth about Broad Match in 2025: it can work very well in accounts with >100 monthly conversions, strong Target ROAS/CPA signals, and a disciplined negative keyword list. It fails catastrophically in underfunded, low-volume accounts where there isn't enough conversion data to keep it honest.
Negative keyword management has become the new match type management. With broader match behaviour across all types, your negative lists are the primary mechanism for query control. Use this tiered approach:
As practitioners often discuss, the loss of Expanded Text Ads felt like a significant blow to creative control. RSAs aren't going away, but there are legitimate ways to guide them toward your best messaging.
You can pin specific headlines and descriptions to specific positions in an RSA. Pin your primary value proposition to Headline 1, your brand name or key differentiator to Headline 2, and leave Headline 3 unpinned for Google to test. This maintains brand consistency and core messaging while still giving the algorithm enough flexibility to find winning combinations.
Warning: Google will show a "limited" performance rating on heavily pinned RSAs. Ignore this rating — it's a self-serving metric that reflects Google's preference for control, not ad quality.
After 4–6 weeks and sufficient impression volume (generally >5,000 impressions), RSA assets start receiving performance labels: Best, Good, Low, or Unrated. Systematically replace "Low" assets every 4–6 weeks. This is the compound interest of RSA optimisation — small improvements in asset quality accumulate into meaningful CTR and Quality Score gains over time.
No conversation about Google Ads in 2024–2025 is complete without addressing Performance Max. It's simultaneously the platform's most powerful tool and its most opaque one.
PMax genuinely outperforms siloed campaign structures when you have rich first-party data (customer lists of 1,000+ matched users), strong creative assets across all formats, and a conversion volume of >50/month to give the algorithm real signal. E-commerce accounts with product feeds particularly benefit — Shopping results within PMax can be highly efficient at scale.
The most common PMax mistake I see: running PMax alongside existing search campaigns without brand exclusions or campaign-level URL exclusions. PMax will compete for — and often win — your branded queries at a higher cost than a dedicated brand campaign would achieve. Always, always add your brand terms as negative keywords at the PMax campaign level using the brand exclusions list (under campaign settings, not standard negatives).
PMax doesn't show you traditional search term reports. However, the "Insights" tab does reveal search themes and audience signals that are driving performance. Check this weekly. It's not the granular data we want, but it's the granular data we have.
If your Google Ads account is underperforming and you've read this far, here's the concrete sequence of actions I'd recommend over the next 30 days:
Google Ads has genuinely gotten harder. The auction is more competitive, the controls are looser, and the platform extracts more margin from advertisers than it used to. But "harder" isn't the same as "broken." The practitioners winning in this environment are the ones who've updated their playbook rather than fighting the platform they wish still existed. Deep negative keyword architecture, disciplined Smart Bidding management, creative systems for RSAs, and strategic PMax deployment — these are the levers that still move numbers in 2025. Pull them deliberately, and the efficiency you're looking for is still there.
