groas Blog

Most B2B software companies running Google Demand Gen campaigns see clicks and form fills but zero pipeline. This case study traces the three structural problems causing the underperformance, including audience overlap with Search, feature-focused creative, and conversion actions that rewarded the wrong behavior, and documents the fixes that turned Demand Gen into the second-largest pipeline source within 60 days.

A detailed comparison of the five best Opteo alternatives in 2026 for agencies and in-house teams that have outgrown Opteo's recommendation model. Covers Optmyzr, Adalysis, Revealbot, groas, and full-service management, with a clear framework for choosing based on whether your real gap is better recommendations or actual execution throughput.

A mid-market ecommerce brand scaled Google Ads from $20K to $80K per month and watched ROAS erode for months. A structural audit revealed three root causes: a degraded Shopping feed, conversion tracking that gave Smart Bidding incomplete data, and budget allocation driven by habit instead of marginal return analysis. This article walks through each problem, the 90-day fix timeline, what the results actually looked like, and why structural integrity is the difference between ecommerce Google Ads that compounds and ecommerce Google Ads that collapses at scale.

A case study walking through how an ecommerce brand with healthy Google Shopping ROAS but stalling revenue growth fixed three structural problems in feed quality, campaign segmentation, and bidding architecture to break through its revenue ceiling.

A mid-size ecommerce brand was hitting a growth ceiling with Search and Shopping alone. This case study breaks down how they used Google Demand Gen campaigns to expand upper-funnel reach by 4x, lift branded search volume, and actually improve Search ROAS through deliberate audience architecture, creative cadence, budget separation, and proper attribution. Plus, what any ecommerce brand should learn before launching Demand Gen.

Most WordStream alternative articles list more tools. But for advertisers with real budgets and limited bandwidth, the real alternative is not better software. It is fully managed Google Ads execution. This article makes the case for why DFY and DWY models outperform any self-serve tool, with a clear decision framework for choosing the right operating model.

A Shopify ecommerce brand spending $45K per month on Google Shopping was bleeding budget due to three structural problems: Performance Max cannibalizing brand search, Smart Shopping bidding that ignored product margins, and silent feed quality failures suppressing high-value SKUs. After a three-week rebuild addressing feed corrections, PMax brand exclusions, campaign segmentation, and conversion value rules, the account recovered approximately 60% of its lost ROAS within 60 days. The case study breaks down each problem, the exact fix, and why structural ownership matters more than bid management.

Overambitious ROAS targets are one of the most common reasons Google Ads campaigns lose volume, starve algorithms of data, and spiral into underperformance. This article explains the mechanics behind the problem, shows why lower ROAS targets often produce more total profit, identifies the industries hit hardest, and lays out a practical framework for setting targets that let campaigns breathe and scale.

A growing ecommerce brand had strong Google Ads ROAS but declining revenue. The culprit: Performance Max was cannibalizing branded search, inflating attribution, and starving prospecting campaigns. Three structural fixes, including PMax brand exclusions, conversion action cleanup, and budget reallocation, reversed the trend. Reported ROAS dropped. Revenue went up. This case study walks through the diagnosis, the fixes, and what every ecommerce advertiser should check in their own account.