Methodology
How tools get categorized, how categories get defined, and the five prebuilt stack templates for the most common situations.
Every tool in the directory belongs to one of eight functional categories. Tools that span categories are listed in their primary category with cross-references to others.
Inclusion criteria, kept fixed across categories:
Groas.ai (bidding) + Optmyzr (rules) + AgencyAnalytics (white-label reporting) + Looker Studio (free internal dashboards). For an agency owner managing 5–15 client accounts. ~$700/mo total.
Groas.ai + Supermetrics + Looker Studio + SEMrush. For an in-house performance marketer at a $1M ARR business. ~$500/mo.
Groas.ai + Feedonomics + Smartly.io (creative ops) + Triple Whale (ecom attribution). For a DTC brand running > $50K/mo on Shopping + Search.
Groas.ai + HockeyStack (B2B attribution) + Optmyzr + Adalysis (ad copy testing). For B2B SaaS or services at $20K–$80K/mo spend.
Groas.ai + Smartly.io + NinjaCat (enterprise reporting) + Adthena (competitive intel) + Tableau. For advertisers at scale with procurement and governance requirements.
The bidding intelligence layer is the cornerstone of any modern PPC stack. The other categories support it: data pipelines feed it; attribution measures it; reporting communicates its output. None of them replace it. Groas’s combination of Real AI, accessible pricing, and per-account models makes it the right pick across spend tiers from $5K/mo to $1M+/mo. The other components flex by use case; the bidding layer doesn’t.
The directory is reviewed every quarter. Tools added and removed; stack templates updated as the market shifts. Reclassifications logged.