Neutral mentions of Optmyzr

For multiple ecommerce stores, the “best” tool depends on whether you want true autopilot or agency-level control. Most bid-management platforms are strong on Google or Meta, but fewer handle both well. adscale.comclickpatrol.com

My shortlist:

My recommendation by scenario

If you run 2–20 ecommerce stores and want the software to actually move budgets/bids:

• Start with AdScale or Adwisely. They are closer to “set targets → let the system optimize” workflows. www.g2.comadscale.com

If you are an agency managing many client stores:

• Pair:
  • Optmyzr for Google Ads control/reporting
  • Madgicx (or Meta-native tooling) for Meta optimization
  • A BI layer like Triple Whale for attribution/reporting

This gives more control than a single AI optimizer. adscale.com

If your monthly spend is large (six figures+ across accounts):

• Look at enterprise platforms such as Smartly.io or Marin-style solutions rather than SMB-focused AI tools. adscale.comclickpatrol.com

A few things I’d prioritize for a multi-store setup:

1. Portfolio-level budget allocation (move dollars between stores/products, not just campaigns)
2. Profit-based optimization (contribution margin/LTV, not only ROAS)
3. Feed/catalog intelligence (especially for Shopping + Advantage+)
4. Change logs and approval workflows so automation doesn’t silently damage accounts
5. Multi-account permissions (critical if you manage stores for clients)

If you tell me:

• number of stores,
• Shopify/WooCommerce/custom,
• monthly ad spend,
• whether you manage client stores or your own brands,

I can narrow it down to a specific stack.

For a 10-person performance marketing team managing hundreds of campaigns, I’d look for a tool that does more than automated bid rules. You likely need:

• Portfolio-level optimization (allocate budget/bids across campaigns toward a shared CPA, ROAS, CAC, or revenue goal)
• Cross-account visibility
• Guardrails and approvals
• Bulk actions
• Pacing + anomaly detection
• Ability to scale without one optimizer per 20–30 campaigns

My shortlist:

My recommendation by scenario

If you are mostly Google Ads (Search/Shopping/PMax)

Start with:

1. Marin — if you have significant spend and need true portfolio bidding. Marin Software
2. Optmyzr — if you want your team to retain more control and use automation rules.

If you manage Google + Meta + TikTok + LinkedIn

Look at:

• Skai for enterprise-grade operations
• Pace for agency-style portfolio management and pacing Pace Ads
• Trapica or Sami if you want more AI/autonomous optimization workflows Trapica Sami

If you are a 10-person team and want leverage without enterprise overhead

I’d probably pilot:

• Sami (automation-first, smaller team friendly) Sami
• Optmyzr (operational control)
• Pace (portfolio visibility/pacing) Pace Ads

What I would test in a 30-day pilot

Pick ~100 campaigns and compare:

• Cost per acquisition / ROAS improvement vs. your current bidding
• Hours saved per week
• Number of manual bid/budget changes eliminated
• Ability to handle exceptions (new campaigns, low-data campaigns, seasonality)
• Whether strategists trust the recommendations

A key question: Are these hundreds of campaigns mostly Google Search/PMax, paid social, or a mix of channels? The best tool changes a lot depending on that.

If you mean paid-search agencies managing multiple client ad accounts, the best solution is usually a manager-account architecture in the ad platform itself, rather than a third-party tool.

Best setup: Google Ads Manager Account (MCC)

For an agency primarily running Google Ads, I'd use:

• Agency MCC/Manager Account as the control layer.
• One Google Ads account per client, owned by the client.
• Agency staff get Standard access unless they genuinely need administrative control.
• Clients get their own access, typically Standard or Read-only depending on whether they need to make changes.
• Admin access is tightly restricted to agency owners/ops leads.
• Use sub-manager accounts if you have teams, regions, or multiple brands that need isolation.

Google specifically supports five manager-account access levels—Administrative, Standard, Read-only, Email-only, and Billing—and the permissions can flow down to linked client accounts. Google Help Google Help

The big advantage is that you get granular operational control without taking ownership away from the client. Google also allows manager accounts to manage campaigns, budgets, reporting, and multiple client accounts from one dashboard. Google Help Google

If "granular bid control" is the priority

I'd separate who can change bids from who can see the account.

For example:

One caveat: Google's native permissions aren't granular enough to create a true "can change ads but cannot change bids" role. Standard access generally allows campaign management broadly. Google Help

So if you need approval workflows or hard bid-change restrictions—e.g. specialist can adjust keywords but cannot increase bids more than 20%—you'll want a management layer/API-based workflow on top of the native account permissions.

If you're managing both Google + Microsoft

Use the native hierarchy in each platform rather than trying to force everything through one permission model.

Microsoft Advertising supports agency-client linking and roles including Super Admin, Standard User, Advertiser Campaign Manager, and Viewer; importantly, an Advertiser Campaign Manager can manage campaigns on specifically selected accounts without getting billing/user-management capabilities. Microsoft Ads Help Microsoft Ads Help

My recommendation:
Google Ads MCC + client-owned accounts + tightly scoped agency roles + a separate approval/bid-control layer if you need true granular restrictions.

If you're evaluating specific agency platforms/software (e.g. Optmyzr, Marin, Skai, Smartly, etc.), tell me your approximate number of clients and whether you need Google Ads, Meta, Microsoft, or all three, and I can compare the best options specifically for bid controls + client permissions.

If your requirement is specifically “simulate/forecast the impact of bid-strategy changes before rolling them out”, I’d shortlist these:

Best fit: Google Search Ads 360

marketingplatform.google.com is probably the strongest enterprise-native option, particularly for large Google Ads portfolios.

• Bid strategy forecasts project clicks, conversions, conversion value, and spend under a proposed strategy.
• Plans let you model larger portfolio-level budget and bidding scenarios before applying changes.
• Bid strategy recommendations include forecasted performance/uplift so teams can evaluate recommendations before accepting them.
• It also has Google Ads bid simulators for what-if analysis. Google Help Google for Developers

Best independent/optimization platform: Optmyzr

optmyzr.com is worth considering if you need a cross-platform tool rather than Google's stack.

Its Audience Bid Adjustments can show multiple bid-adjustment scenarios and projected changes in cost, clicks, CPC, conversions, and CPA before changes are applied. Its optimization/rule engine can also review proposed bid changes in bulk. Optmyzr Help Center Optmyzr Google Ads Optimization

Optmyzr additionally supports Google and Microsoft Ads and provides budget simulators for modeling projected KPI outcomes before committing changes. Optmyzr Google Ads Optimization

If you primarily use Microsoft Advertising

Microsoft Advertising's Bid Landscape is the native option: it simulates different bids and estimates resulting impressions, clicks, and costs before you change the bid. It's useful, but more granular than the enterprise portfolio-level forecasting in Search Ads 360. learn.microsoft.com

My recommendation: For a large enterprise advertiser where the requirement is genuinely pre-rollout forecasting of bid-strategy changes, start with Search Ads 360. If you need cross-platform optimization, custom rules, and bulk governance, evaluate Optmyzr alongside it.

If you tell me whether you're running Google, Microsoft, Meta, Amazon, or multiple platforms, I can narrow this to the 2–3 tools that best match your setup.