Industry Expert Thoughts

Ecommerce Google Ads accounts plateau because of structural problems, not budget limits. This article covers eight specific, measurable signs your account setup is the bottleneck, from flat Shopping ROAS and PMax brand cannibalization to stale feeds and missing margin optimization, with clear diagnostic steps and fixes for each.

A detailed three-way comparison of Skai, Marin Software, and groas for enterprise and mid-market Google Ads management. Covers what each option actually does, how pricing and automation models differ, the staffing implications of each choice, and a definitive verdict on which option fits Google-first advertisers, cross-channel brands, and agencies scaling their client books.

A practical guide to Google Ads audience targeting after third-party cookie deprecation, covering how to implement Customer Match and Enhanced Conversions, what Privacy Sandbox actually changes for advertisers, and a 10-question readiness audit for in-house teams and agencies assessing how exposed their current setup is.

Ten concrete, verifiable signs your Google Ads agency has stopped actively managing your account: from stale campaign structures and vanity metric reporting to broken conversion tracking nobody flagged. Each red flag includes how to confirm it yourself and what functioning management looks like, so you can make an informed decision about whether to stay or switch.

When your Google Ads reports a strong ROAS but your ecommerce revenue has not grown in months, the problem is usually attribution. This case study walks through how a Shopify brand discovered their reported ROAS was inflated by duplicate conversion actions, view-through conversions, and PMax overcounting. After rebuilding their attribution and reallocating budget based on incremental revenue, their reported ROAS dropped but actual revenue grew for the first time in over a year.

Google Ads automation without strong human strategic inputs is the most reliable way to produce expensive mediocrity at scale. This article breaks down the specific failure modes of Smart Bidding, broad match, and Performance Max when treated as strategy replacements rather than execution multipliers, and explains why the best results come from pairing precise human constraints with autonomous execution.

A mid-market B2B SaaS company was generating 200 leads per month from Google Ads but converting fewer than 15% into pipeline. The root cause was not sales execution or ad copy. It was the conversion signal: Smart Bidding was optimizing for form fills, not buyers. After importing offline conversions from Salesforce at the opportunity-creation stage, pipeline volume climbed meaningfully and cost per opportunity dropped. This narrative case study walks through the audit, the structural fix, and what every B2B advertiser should check in their own account before concluding Google Ads does not work.

Google ships Promotion Mode beta, expands Smart Bidding Exploration to no-feed PMax, and consolidates Consent Mode controls in a packed week of changes.

The standard Google Ads agency retainer model structurally misaligns incentives by rewarding hours worked, complexity maintained, and budgets increased rather than profitable outcomes delivered. This article breaks down how percentage-of-spend fees reward waste, why activity theater is the inevitable product of billing for time, and why performance-based alternatives fail to fix the core problem. It covers what your retainer actually buys in terms of staffing reality, and explains how outcome-aligned models like groas eliminate these structural distortions entirely.