Google Ads - what is going on?

If you've been running Google Ads for years, doing everything "right," and suddenly find yourself staring at a dashboard that looks like it's been through a blender — you're not alone. A common question in the r/googleads community comes from experienced practitioners with 5–10 years under their belt who suddenly feel like the platform has shifted beneath their feet. Costs are up, performance is erratic, and the controls they relied on seem to have been quietly taken away. This post breaks down exactly what's happening, why it's happening, and — most importantly — what you can actually do about it.

The Platform Has Fundamentally Changed (And Not Just a Little)

Let's be direct: Google Ads in 2024 is a materially different product than it was in 2018 or even 2021. The shift isn't incremental — it's structural. Over the past three years, Google has systematically moved away from a keyword-controlled, auction-based system toward an AI-driven, signal-based system. That change benefits Google's revenue model enormously. Whether it benefits your specific account depends heavily on your data volume, your industry, and how well you've adapted your strategy.

Here's what has concretely changed at the infrastructure level:

• Broad match has been re-engineered to serve ads on queries that would have been considered irrelevant under the old system — sometimes dramatically so
• Smart Bidding now dominates — manual CPC is still available but increasingly unsupported by Google's internal optimization engine
• Search term transparency has been reduced — the "other" category in search terms reports now routinely hides 30–60% of actual traffic depending on account size
• Performance Max campaigns have absorbed significant inventory that was previously accessible only through Shopping or specific search placements
• Exact match no longer means exact — close variants have expanded the definition to include queries with different intent in many observed cases

Why Experienced Advertisers Feel This the Most

Counterintuitively, the practitioners who feel the most disruption are often the experienced ones — not beginners. Here's why:

If you built your account structure and strategy between 2015 and 2020, you built it on a foundation of granular control: single keyword ad groups (SKAGs), tight match types, manual bidding with dayparting, and tightly themed ad groups. That entire methodology was predicated on the platform rewarding control and relevance at a granular level.

As practitioners often discuss in forums like r/googleads, the frustration isn't just about performance — it's about losing the levers that made sense. When you had 20 exact match keywords and knew exactly which queries triggered them, you could diagnose and fix problems. Now, with Smart Bidding running broad match against a black-box auction, diagnosis becomes genuinely difficult.

The newer advertiser who came in post-2022 never had those controls, so they don't miss them. They adapted to Performance Max and Smart Bidding from day one. The experienced advertiser is mourning a system that no longer exists.

Diagnosing What's Actually Wrong in Your Account

Before you can fix anything, you need to separate platform-wide issues from account-specific issues. These require very different responses.

Platform-Wide Issues (Not Your Fault)

• Auction inflation: CPCs across most industries have risen 15–40% year-over-year since 2022. This is real, structural, and largely outside your control
• Reduced query transparency: If your search terms report looks sparse, that's a platform decision, not an account misconfiguration
• Seasonal volatility: Google's auction dynamics have become more volatile quarter-to-quarter as more advertisers use Smart Bidding — algorithmic herding creates real volatility spikes

Account-Specific Issues (Fixable)

• Conversion tracking drift: Has your primary conversion action changed in the last 12 months? A shifted or misconfigured conversion setup will destroy Smart Bidding performance silently
• Learning period abuse: Frequently changing bids, budgets, or ad copy resets learning periods — accounts in perpetual learning mode dramatically underperform
• Audience signal starvation: Smart Bidding needs signals to work. Accounts with <50 conversions per month will see significantly degraded automated bidding performance
• Quality Score erosion: Legacy ad groups with low CTR from outdated ads drag overall account health

How to Run a Quick Account Health Diagnostic

1. Go to Tools & Settings → Measurement → Conversions and verify every active conversion action. Check "Include in Conversions" status and the last recorded conversion date
2. Pull a Search Terms report for the last 90 days and calculate what percentage of your spend is visible vs. hidden. If it's >40% hidden, you have a transparency problem that should inform match type decisions
3. Check your Impression Share data by campaign. Declining IS alongside declining performance usually means a budget or Quality Score issue. Stable IS with declining ROAS/CPA usually means auction dynamics or conversion tracking
4. Review your campaign status flags — "Limited by budget," "Campaign not running," and Learning status all compound performance problems that are easy to miss at scale
5. Pull an Auction Insights report and check if new competitors have entered your space — this is frequently the actual cause of CPC spikes

The Smart Bidding Reality Check

Smart Bidding is not inherently good or bad. It's a tool that performs in proportion to the quality and volume of data you feed it. Here's the honest benchmark breakdown based on real campaign management experience:

The single most common error I see from experienced advertisers who are frustrated with Smart Bidding is setting targets too aggressively at launch. If your historical CPA is $120, setting a tCPA target of $80 on day one doesn't save you money — it starves the algorithm of auctions and creates a performance collapse. Set your initial target at your actual historical CPA (or even 10–15% above it), let the algorithm stabilize for 2–4 weeks, then gradually tighten toward your goal.

What to Do About Broad Match and Search Term Visibility

This is where experienced practitioners tend to have the strongest emotional reaction — and for good reason. Google has been aggressively pushing broad match since 2021, and the data on broad match + Smart Bidding combinations is genuinely mixed depending on your industry and account maturity.

The Case For Broad Match (When It Works)

In accounts with strong conversion data (>100 conversions/month) and well-configured Smart Bidding, broad match can genuinely expand reach into converting queries that phrase or exact match would miss. I've seen accounts where adding broad match variants of top exact match keywords with Smart Bidding added 20–30% incremental conversion volume at comparable CPA. This is real.

The Case Against Broad Match (When It Hurts)

In lower-volume accounts, in highly technical B2B industries, or in accounts with thin margins and specific intent requirements, broad match will bleed budget on irrelevant queries that Smart Bidding doesn't have enough data to filter out. If you're a plumber in Chicago, broad match can push your ads to home improvement content in other states. The algorithm needs your conversion data to learn what's irrelevant — and in low-volume accounts, it may never get there.

A Pragmatic Approach

1. Keep your existing exact and phrase match campaigns — don't blow them up to "go all in on broad"
2. Test broad match in a separate campaign with its own budget so you can evaluate performance without contaminating your control data
3. Build a robust negative keyword list before launching broad match — at minimum, add known irrelevant verticals, competitor brand terms you don't want, and informational modifiers that don't convert for your business
4. Monitor the Search Terms report weekly for the first 60 days of any broad match test and add negatives aggressively
5. Set a clear success metric before testing — define what CPA, ROAS, or conversion volume threshold would make broad match worth keeping

Performance Max: Work With It, Not Against It

As practitioners often discuss, Performance Max feels like a black box — and to a meaningful extent, it is. But writing it off entirely is increasingly untenable as Google routes more inventory exclusively through PMax, particularly for Shopping advertisers.

Here's a practical framework for getting the most from PMax while protecting your existing campaigns:

• Use brand exclusions aggressively — PMax will happily take credit for branded search traffic that your Search campaigns would have captured anyway. Exclude your brand terms from PMax to protect attribution integrity
• Feed it strong asset groups — PMax performance scales directly with asset quality. Mediocre headlines and generic images produce mediocre results. Invest in creative testing
• Use audience signals, not audience targeting — PMax uses your audience signals as a starting point, not a hard constraint. Give it your customer lists, your remarketing audiences, and your in-market segments
• Watch for search cannibalization — use the "Insights" tab in PMax to see what search themes are driving conversions, and compare against your Search campaign search terms reports to identify overlap
• Don't run PMax and Standard Shopping simultaneously without understanding that PMax will take priority — structure this deliberately or you'll get confusing attribution

What to Do Next: A Concrete Action Plan

If you've been running Google Ads for years and things feel broken, here's the honest assessment: the platform has changed more in the last three years than in the previous seven combined. That's not an excuse — it's context. The practitioners who are winning right now have done two things: accepted the new reality of reduced control, and found the leverage points that still exist within the AI-driven system.

Here are five concrete things to do this week:

1. Audit your conversion tracking immediately. Before changing bids, budgets, or campaign structure, verify that every conversion action you're optimizing toward is firing correctly, is attributed to the right touchpoint, and is actually representing a business outcome you care about. This one step resolves more "what's going on" situations than any other.
2. Benchmark your CPCs against industry data. Pull your average CPCs from 12 months ago and today. If you're seeing 20–40% increases and your impression share is stable, you're likely experiencing market-wide inflation — not an account problem. This matters because the fix for inflation (accept higher CPCs or reduce scope) is completely different from the fix for an account problem.
3. Assess your Smart Bidding data readiness. Use the conversion volume thresholds in the table above. If you're under 50 conversions per month, your priority is generating more conversion volume — not optimizing bids. Consider whether your conversion action is too high-funnel or too low-funnel for your actual traffic volume.
4. Run a controlled broad match test in an isolated campaign. Don't change your existing structure. Allocate 15–20% of your budget to a broad match + Smart Bidding test campaign for 6 weeks. Define success metrics upfront and evaluate with full data.
5. Stop making frequent small changes. If you're adjusting bids, pausing keywords, and swapping ad copy every few days across Smart Bidding campaigns, you may be actively preventing the algorithm from working. Pick a stabilization period of 3–4 weeks where you make no changes, gather clean data, and then make one informed decision rather than ten reactive ones.

Google Ads is harder to control than it used to be. But "harder to control" doesn't have to mean "impossible to manage profitably." The practitioners who thrive in this environment are the ones who stopped fighting for control they can't have and started focusing on the inputs the algorithm actually responds to: conversion data quality, creative strength, audience signals, and patience. That's where the real leverage is now.