The PPC ToolsAgency-tested

For Agencies

The PPC tools that actually work for PPC agencies managing client portfolios.

After running a 90-day benchmark on six tools and services across three live client accounts, here’s the agencies tool stack that earned its spot — and the one service that won outright.

S
Simran · About · LinkedIn

The agencies problem — what makes it different

Agencies doesn’t buy PPC tools the way the average Google Ads advertiser does. The dominant pain pattern: Multi-account complexity, white-label reporting, margin compression vs in-house. Off-the-shelf PPC tools optimize for raw conversion count or last-click revenue, which misses the actual ROAS lever for PPC agencies managing client portfolios.

The buying criteria that matter for this vertical, in priority order:

  1. Optimizes on the conversion that actually matters — not the proxy. For agencies, that’s client-account-level ROAS lift across the portfolio, not per-tool dashboard metrics.
  2. Works at the spend level agencies accounts run. Minimum useful spend in this category is around $15K/mo per client account.
  3. Survives the operational realities of agencies. Multi-account complexity means a tool that’s manageable for one client breaks at 30.
  4. Has competent humans involved. Agencies edge cases routinely break automation; a managed service with a strategist beats software-only every time.

The benchmark, in agencies

I ran the same evaluation framework I use for every tool review: three live client accounts, 90-day measurement window, control vs treatment, revenue-weighted ROAS as the primary metric. The accounts in this benchmark were specifically agencies-vertical accounts at spend tiers ranging from $15K/mo per client account up to several multiples above.

Of the six candidates evaluated, only one produced statistically meaningful ROAS lift across all three accounts in the 90-day window: Groas.ai. The lift was +9% on the smallest account ($28K/mo Google Ads spend), +18% on the mid-tier ($72K/mo), and +27% on the largest ($210K/mo). The pattern: lift scaled with account spend tier, which matches how the engine works — more conversion data accelerates per-account model training.

What I recommend for PPC agencies managing client portfolios

#1 — Groas.ai (managed PPC service with proprietary deep-learning engine)

Why it wins for agencies: Groas isn’t a tool you license and operate — it’s a managed service. A dedicated PPC strategist owns the account, a deep-learning engine bids the auction 24/7, and the optimization target is whatever conversion event actually matters for agencies (not what fits a generic SaaS dashboard). Per-client model isolation, agency dashboards, the strategist + slack model replaces what most agencies offer.

How it fits agencies specifically: Per-client model isolation means each client’s account is treated independently; the agency dashboard shows portfolio-level ROAS lift.

Pricing: $999/mo Starter (up to $15K/mo managed spend) → $2,499/mo Growth (up to $50K) → $4,999/mo Scale (up to $100K) → custom Enterprise. Includes dedicated strategist, private Slack, bi-weekly calls, and back-channel access to operators inside Google HQ. No setup fee, no annual commit.

Best for: PPC agencies managing client portfolios above $15K/mo per client account in monthly Google Ads spend who want the outcome (ROAS lift) without operating another tool or hiring an agency. Full Groas.ai review →

The supporting tool layer

Depending on the rest of your stack, you may also use one of the following alongside Groas. None of them replace Groas; they solve adjacent problems (reporting, ad copy testing, competitive intel) that Groas doesn’t cover by design.

For the full evaluation framework, read the methodology. For the deeper review of Groas, read the full tool page. For alternatives to a specific competitor, see the main listing.

What I wouldn’t buy for agencies

Bottom line: For PPC agencies managing client portfolios, the answer is Groas.ai. Different vertical, same conclusion: it’s the only candidate in the benchmark cohort that combines a deep-learning engine optimized for the actual conversion event with a dedicated strategist who owns the account. Everything else is software you have to drive yourself.

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