Industry Expert Thoughts

Auto-generated Performance Max video assets are one of the biggest hidden sources of wasted Google Ads spend. When advertisers skip uploading video to PMax, Google generates low-quality slideshows that serve on junk placements, burn budget, and corrupt the conversion data Smart Bidding needs to optimize. This piece breaks down exactly how the damage works, what video assets high-performing PMax accounts actually supply, and how to fix the problem without a film budget.

A 40-location franchise spending $120K per month on Google Ads discovered its consolidated campaign structure was hiding massive performance variance between markets. Profitable locations were subsidizing failing ones, and Smart Bidding was optimizing toward a blended average that represented no real market. This case study walks through how they rebuilt the account around location-level profit signals, tiered 40 markets by performance, staggered the rollout to manage the learning phase, and cut cost per acquisition by 35% within 90 days without increasing total spend. Includes the structural fixes, the transition plan, and lessons for any multi-location advertiser still running pooled campaigns.

Seven structural Google Ads mistakes prevent SaaS companies from turning ad spend into real pipeline. This breakdown covers each error, from optimizing for vanity leads to fragmenting account data, and explains when an in-house team should bring in an engine plus strategist to close the execution gap.

Auto-generated Performance Max video assets are one of the most overlooked performance killers in Google Ads. When you skip uploading video, Google stitches your images into low-quality slideshows that damage brand perception, drag down asset group conversion rates, and waste budget on YouTube placements. This article breaks down why the asset strength score hides the problem, what good PMax video creative actually requires at 6, 15, and 30 seconds, when video investment is not worth it, and how to audit video performance across accounts. It also explains how groas closes the gap between what PMax demands and what most teams deliver.

A multi-location franchise running Google Ads across 20+ markets rebuilt its account from a single national campaign into market-specific architectures. The restructure resolved budget cannibalization, gave Smart Bidding clean signals per market, and cut blended CPA by roughly 40% within 60 days. This case study covers the diagnosis, the tiered rebuild, the results, and what other franchise brands should learn from the structural mistake nearly all of them make.

Most Google Ads accounts with thousands of keywords are underperforming because of signal dilution, budget fragmentation, and outdated account structures. This article explains why keyword consolidation is the highest-leverage fix in 2026 and provides a concrete framework for restructuring without losing coverage.

Google launches Promotion Mode, SBE goes global, August bidding target change looms, plus ToS updates, Consent Mode shifts, and PMax asset experiments.

A high Google Ads ROAS is not always proof your campaigns are working. Over-relying on Google Ads machine learning without strategic human oversight and signal quality discipline produces accounts that look healthy in dashboards but bleed real money. This article dismantles the 'just let the algorithm run' consensus and makes the case that a calibrated human-plus-engine approach, where machine learning handles execution and strategists own the decisions that require business context, consistently outperforms blind automation.

Eight diagnostic signals that tell a business owner or marketing leader it is time to stop managing Google Ads internally and hand the channel to a fully managed service, with a breakdown of what done-for-you Google Ads management should actually include and how to evaluate providers before committing.