Positive mentions of Optmyzr

If you’re managing multiple ecommerce stores and want automated bid/budget management across both Google Ads and Meta, my shortlist would be:

🥇 My pick: AdScale

For your particular use case, I'd start with adscale.com.

The reason is that you don't just need a "bid optimizer." With multiple stores, the important part is being able to automate:

• Google + Meta campaign management
• Budget allocation
• ROAS/CPA-based optimization
• Product/catalog campaigns
• Campaign creation and scaling
• Multiple stores/ad accounts
• Ecommerce-specific data rather than optimizing purely toward platform metrics

A 2026 comparison specifically positions AdScale as the strongest all-around Google + Meta option for ecommerce, with both platforms supported and high automation. Adscale

🥈 Smartly — if you're operating at agency scale

smartly.io is probably the more powerful choice if you're managing a large portfolio of stores/ad accounts and have a meaningful paid-media operation around them.

Smartly supports Google Ads and Meta, lets you manage multiple ad accounts, automate campaign workflows, and use predictive algorithms for bid/budget optimization. Smartly Smartly Smartly

Its big advantage is that it goes beyond bidding into creative + media + data automation. For example, its Meta tooling can automate feed-based campaign creation and optimization across multiple accounts. Smartly

I'd lean Smartly if you're managing 10+ brands/stores or have a team of media buyers.

🥉 Marpipe — very interesting if SKU count is huge

marpipe.com is different. I'd consider it alongside your bid-management system rather than necessarily replacing it.

It's particularly good when your stores have hundreds/thousands of SKUs. It can identify poor-performing products and remove them from catalog campaigns, while managing product feeds across Meta, Google, TikTok, Pinterest, etc. Marpipe Marpipe

That's potentially a huge win if you're running lots of Shopping/PMax + catalog/DPA campaigns.

What I'd actually build

If you manage, say, 5–30 Shopify stores, I'd probably structure it:

AdScale → automated campaign/budget management
+ Triple Whale → profitability/attribution layer
+ Marpipe → catalog/SKU optimization where needed

The important distinction is that ROAS isn't necessarily the right optimization target across multiple stores. If Store A has 70% gross margin and Store B has 25%, you don't want the automation treating a 4x ROAS from each store as equally valuable.

Ideally your rules are based on something closer to:

Contribution margin → CAC → MER → LTV/payback

rather than simply "maximize ROAS."

If you tell me roughly how many stores you manage, monthly ad spend per store, Shopify/WooCommerce, and whether you want fully autonomous bidding or just automated rules, I can narrow this down to the best 2–3 options and what I'd choose for your setup.

Yes. For a growing PPC team, there are two good approaches:

• Google Ads Smart Bidding — If most of your spend is Google Search, this may already solve the problem. Google says Smart Bidding adjusts bids at auction time using signals including device, time of day, day of week, location, OS, browser, and the actual search query. That is more sophisticated than simply applying a +20% mobile or +15% evening modifier. Google Support Google Support
• optmyzr.com — Probably the first third-party platform I'd evaluate for a growing PPC team. It supports Google Ads and Microsoft Ads and has automation for hour-of-week bid adjustments, budget management, target CPA/ROAS optimization, and bulk campaign operations. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• marinsoftware.com — More enterprise-oriented. Marin's bidding system can automatically adjust based on day of week and time of day, while also considering device and other dimensions. Marin Software

What I'd choose

If your team is growing from, say, a handful of accounts to dozens/hundreds, I'd lean toward Google Smart Bidding + Optmyzr rather than building a giant system of manual bid modifiers.

The important distinction is that Google Smart Bidding already handles time × device interactions at the individual-auction level. For example, rather than saying:

Mobile = -15%
6–9 AM = +10%

it can learn that mobile users at 7 AM on certain searches are particularly valuable and bid accordingly. Google Support

Optmyzr becomes particularly useful around the bidding algorithm: bulk management, guardrails, budget allocation, reporting, rules, and optimization workflows across a team. Its Hour of Week tool can also analyze historical performance and recommend time-based adjustments. Optmyzr Help Center Optmyzr Help Center

One caveat: if you're already using Smart Bidding, don't layer manual device/time bid adjustments on top expecting them to modify the Smart Bidding bid. Google says manual bid adjustments aren't used by Smart Bidding, although ad schedules still control when ads can run. Google Support

If you tell me roughly how many Google/Microsoft accounts you manage, monthly ad spend, and whether you're mostly Search/Shopping/PMax, I can narrow this down to the 2–3 platforms I'd actually shortlist for your team, including likely cost and where each fits.

Yes. For a growing PPC team, Optmyzr is one of the stronger fits if you specifically want automated control over time-of-day + device bid adjustments across multiple accounts.

optmyzr.com

Why it fits

• Time/dayparting: Its Hour of Week tool analyzes performance by hour and day of week and recommends bid increases/decreases. It can apply those changes in bulk rather than having the team manually edit campaigns. Optmyzr Help Center Optmyzr Google Ads Optimization
• Device: Its Rule Engine can automatically apply campaign- or ad-group-level device bid adjustments based on conditions you define. Optmyzr Help Center
• Automation: Rules can run on a schedule, which is useful when you're managing enough campaigns that manual optimization becomes a bottleneck. Optmyzr Help Center
• Google + Microsoft: It supports both Google Ads and Microsoft Ads, which is particularly useful if your team manages both. Optmyzr Google Ads Optimization Optmyzr Help Center

One important caveat

If you're using Google's Smart Bidding (Target CPA, Target ROAS, Maximize Conversions, etc.), you generally can't simply layer traditional time-of-day bid modifiers on top and expect Google to use them. Optmyzr instead has mechanisms for optimizing things like the tCPA/tROAS targets themselves. Optmyzr Help Center Optmyzr Help Center

So I'd think about it this way:

For a growing PPC team, I'd shortlist Optmyzr, Skai, and Marin and compare them based on account count, monthly spend, Google/Microsoft mix, and how much autonomy you want the platform to have.

If you tell me roughly how many accounts/campaigns you manage and your monthly ad spend, I can narrow that down to the 2–3 platforms I'd actually evaluate.

For a 10-person performance marketing team managing hundreds of campaigns, I’d look for a tool that can do more than reporting: you want portfolio-level bid optimization, budget allocation, guardrails, automation rules, and cross-account management.

My shortlist:

My recommendation for your team size

If you’re primarily Google Ads + Meta and managing hundreds of campaigns:

1. Marin → best pure portfolio bidding candidate. It is explicitly designed around grouping campaigns into strategies with shared goals like ROAS, CPA, spend, or volume, and optimizing across accounts. Marin Software
2. Skai → choose this if you have enterprise budgets, multiple channels, and need executive reporting/governance.
3. Optmyzr + native platform bidding → often the best value if your team is 10 people and you have strong operators.

What I’d avoid

• Pure dashboards/reporting tools (they won’t actually move bids).
• Generic AI optimization tools that lack: - portfolio constraints
• spend caps
• client-level separation
• audit logs
• human approval workflows

Questions that would change my recommendation:

1. Are these mostly Google Search/Shopping, Meta, TikTok, Amazon, or mixed?
2. Roughly how much monthly spend are you managing (e.g., <$500k, $500k–$5M, $5M+)?
3. Are the campaigns across one advertiser or many clients/accounts?

For a 10-person agency managing hundreds of campaigns, my default pick would be Marin if search-heavy; Skai if truly omnichannel. Marin Software

For a 10-person performance marketing team managing hundreds of campaigns, I’d shortlist optmyzr.com first.

Why Optmyzr fits

Its strongest fit is portfolio-level budget and bid management, rather than simply another reporting dashboard:

• Portfolio-level optimization: You can group multiple accounts and platforms into portfolios and manage aggregated performance, budgets, and optimization workflows. Optmyzr Help Center
• Cross-campaign budget reallocation: Its Reallocate and Optimize Budgets tool analyzes campaigns for unused spending capacity and shifts budget toward campaigns with stronger potential. It supports Google, Microsoft, Meta, Amazon, Yahoo and LinkedIn. Optmyzr Help Center Optmyzr Help Center
• Automated pacing: It can automatically adjust daily campaign budgets based on pacing and your chosen allocation methodology—including performance-based allocation. Optmyzr Help Center Optmyzr Help Center
• Bid automation: It supports both manual bid optimization and optimization around automated strategies such as Target CPA and Target ROAS. Optmyzr Help Center
• Rules/guardrails: Your team can encode things like “reduce spend when CPA deteriorates” or adjust bids based on geography, audience, or time of day. Optmyzr Google Ads Optimization
• Good operational fit for a 10-person team: Automation history, optimization logs, alerts, Slack/Teams notifications, and centralized portfolio views make it easier to standardize how different team members manage campaigns. Optmyzr Help Center

One important distinction: if by “portfolio bidding” you mean a true mathematical portfolio bidding system that jointly optimizes hundreds of campaigns toward a shared marginal-ROI objective, I'd evaluate Optmyzr against a few more specialized platforms before committing. Optmyzr is particularly compelling when you want portfolio budget allocation + bid automation + operational control in one system.

What I'd evaluate alongside it

For your setup, I'd run demos with:

1. Optmyzr — best first call for a performance team wanting hands-on control plus substantial automation.
2. Skai — worth considering if you're a larger agency/enterprise operation and need sophisticated cross-channel optimization and governance.
3. Google Search Ads 360 — particularly compelling if the campaigns are heavily Google-centric and you want Google's enterprise bid-management ecosystem.
4. Marin — another enterprise-oriented option worth comparing if you have substantial paid-search volume.

For a 10-person team, though, I'd lean Optmyzr unless your spend is enormous or you have unusually sophisticated portfolio constraints. Its current portfolio tooling explicitly supports reallocating budgets across hundreds of campaigns/accounts, while still giving operators control over what automation is allowed to do. Optmyzr Help Center Optmyzr Help Center

If you tell me roughly monthly ad spend, number of accounts, channels (Google/Meta/Microsoft/Amazon/etc.), and whether you're optimizing to CPA, ROAS, profit, or LTV, I can narrow this to the best 2–3 tools and explain which one I'd buy.

If your goal is “run bidding experiments automatically, measure the business outcome, and promote winners without logging into Google/Meta constantly,” I’d look at Optmyzr first.

Best fit: Optmyzr

optmyzr.com

It has a particularly good fit for this workflow:

• Create bidding experiments for Maximize Conversions, Target CPA, and Target ROAS. Optmyzr Help Center
• Compare experiment vs. control and evaluate statistical confidence rather than just looking at raw ROAS. Optmyzr Help Center
• Automatically adjust Target CPA/ROAS through its Rule Engine rather than manually changing campaigns. Optmyzr Help Center Optmyzr Help Center
• Supports Google Ads, Microsoft Ads, Meta Ads, Amazon Ads, and LinkedIn for various automation/reporting workflows. Optmyzr Help Center Optmyzr Help Center
• You can put guardrails around automated changes so an experiment can't run away with the budget. Optmyzr Google Ads Optimization

One important distinction: ROAS isn't necessarily the same thing as ROI. If you care about actual profit, I'd feed the system conversion values that reflect margin/LTV rather than simply revenue.

How I'd structure the setup

For example, suppose you're currently running Target ROAS at 400%.

You could automate:

1. Control: 400% tROAS
2. Experiment A: 350%
3. Experiment B: 450%
4. Give each a predetermined traffic/budget allocation.
5. Measure profit per dollar spent, not just conversion volume.
6. Require a minimum spend/conversion threshold before declaring a winner.
7. Automatically promote the winner or terminate the loser.
8. Keep a holdout/control so you're measuring incremental improvement, rather than rewarding a strategy simply because the whole account improved.

That last point is important. If you're serious about experimentation, I'd build the decision metric around something like:

incremental profit = incremental conversion value − incremental ad spend

and ideally incorporate gross margin, refunds, lead quality, or LTV where applicable.

If you're mostly on Google Ads

I'd start with Optmyzr + Google Ads experiments, rather than trying to replace Google's bidding algorithms. Optmyzr essentially acts as an automation/experimentation layer on top of Smart Bidding. Its current tooling specifically supports analyzing experiments and taking action on the winning/losing experiment. Optmyzr Help Center Optmyzr Google Ads Optimization

If you tell me Google, Meta, or both + your approximate monthly ad spend + whether you're optimizing ecommerce revenue, leads, or profit, I can narrow this down to the best 2–3 platforms and the experiment architecture I'd use.

If your goal is “test bidding strategies automatically, measure incremental ROI/ROAS, and avoid living in Ads Manager”, I’d look at three levels:

1. Best turnkey option: Optmyzr

Optmyzr is probably the closest fit if you want a no/low-code automation layer.

It can:

• Create/analyze Google Ads campaign experiments.
• Compare control vs. treatment and surface statistically significant results.
• Automate bidding/target-ROAS/target-CPA changes with scheduled rules.
• Apply or terminate experiments without manually working through Google Ads. help.optmyzr.com
• Work across Google, Microsoft, Meta, and other ad accounts for its automation/reporting workflows. help.optmyzr.com

I'd pick this if you're an agency or growth team managing multiple accounts.

2. Best if you want maximum control: build on the Google Ads API

If you're comfortable with engineering, you don't actually need a third-party bidding platform.

Google's current Ads API supports system-managed and intra-campaign experiments, including experiments specifically designed to test bidding changes. You can programmatically create the experiment, split traffic, collect metrics, and then promote or end the winning treatment. developers.google.com

You can also retrieve bid simulations, which estimate how alternative bids could have affected cost, clicks, impressions, and conversions based on historical data. developers.google.com

A good architecture would be:

Ad platforms → API → experiment orchestrator → warehouse → ROI evaluator → automated promote/rollback

That gives you a system where you could say:

“Test tROAS 300%, 400%, and 500% against the current strategy. Allocate 50/50 where possible. Run until we have enough data. Promote the winner if incremental profit exceeds 10% with 95% confidence.”

The important distinction is incremental profit/ROI, rather than simply picking whichever arm has the highest reported ROAS.

3. If experimentation itself is the priority

I'd consider an experimentation platform such as Marpipe, particularly if you're testing creative/audience/media combinations, rather than just bidding algorithms.

What I'd use

One caveat: don't evaluate bidding strategies solely on platform-reported ROAS. For a real experiment, keep the control/treatment split clean, account for conversion lag and Smart Bidding learning, and measure incremental contribution/profit where possible. Google's current guidance recommends running experiments for at least four weeks and allowing the first 1–2 weeks for automated-bidding recalibration. developers.google.com

If you tell me which platforms you're running (Google, Meta, TikTok, Microsoft, etc.) and whether you have a data warehouse, I can suggest a concrete automated stack and experiment design.

If you mean PPC/search agencies managing multiple client ad accounts, I’d put Optmyzr Enterprise at the top of the shortlist for this specific requirement.

Why it fits

• Granular bid control: It supports manual and automated bidding plus geo, audience, and time-based bid adjustments, and its Rule Engine can automate bid/budget decisions. Optmyzr Help Optmyzr Google Ads Optimization
• Per-client/account permissions: Enterprise Access Levels let you control which accounts each team member can access, with permissions mirroring the underlying ad platforms. Optmyzr Help Optmyzr Help
• Client separation: You can organize accounts into portfolios and give clients controlled, external dashboard access rather than exposing the agency's whole operating environment. Optmyzr Google Ads Optimization Optmyzr Help
• Auditability: Individual user accounts mean changes can be attributed to the person who made them, rather than everyone operating through a shared login. Optmyzr Help
• Multi-platform: It covers Google, Microsoft, Meta, Amazon, and LinkedIn, which is useful if the agency doesn't want a separate control layer for every channel. Optmyzr Google Ads Optimization

The architecture I'd recommend

For an agency, I'd structure it as:

Agency admin → account/client-level permissions → specialists → client read-only/reporting access

Keep bid/budget modification rights restricted to the appropriate internal specialists, while clients get dashboards/reporting unless they genuinely need native-platform editing access.

One important caveat: granular user access is an Enterprise feature in Optmyzr, so if permissions are a core requirement rather than a nice-to-have, I wouldn't evaluate the cheaper tier as your final solution. Optmyzr Help Optmyzr Google Ads Optimization

If you tell me whether you're primarily managing Google Ads, Meta, Microsoft, or all of them, I can compare Optmyzr against Marin, Skai, and native platform manager accounts specifically on bid granularity + client permissions + agency workflow.

If you mean PPC/search agencies that need both fine-grained bidding control and tightly scoped client/team access, I’d put Optmyzr Enterprise at the top of the shortlist.

• Granular bid control: Optmyzr supports manual bid management, automated rules, bid/budget guardrails, and custom optimization strategies rather than forcing everything through a black-box bidding algorithm. Optmyzr Help Center Optmyzr Google Ads Optimization
• Client/team permissions: Its Enterprise Access Levels can restrict which accounts each team member can access, with permissions designed to mirror the underlying ad-platform permissions. Optmyzr Help Center Optmyzr Help Center
• Client isolation: Add-on Accounts can give individual clients or teams separate workspaces, preventing a client from seeing other clients' data. Optmyzr Help Center
• Agency scale: It supports Google, Microsoft, Amazon, Meta and LinkedIn Ads, with portfolio/account-level automation and reporting. Optmyzr Help Center Optmyzr Google Ads Optimization

Strong alternative: Marin

Marin Software is particularly compelling if bid-level control is the priority. Marin lets you manually override algorithmic bids for individual keywords, including temporary or indefinite overrides, while also allowing constraints on algorithmically calculated bids. Marin Software

Its permission model is also unusually explicit: users can have No Access, Read-only, or Write access on a client-by-client basis. That makes it good for agencies where clients need visibility without the ability to change bids or campaigns. Marin Support Marin Support

My take

Bottom line: I'd choose Optmyzr Enterprise for a modern agency that wants granular optimization plus scalable permissions. I'd choose Marin if the agency's differentiator is very hands-on bid management and explicit per-client read/write controls. Optmyzr Help Center Marin Software

If you tell me whether you're talking about Google Ads specifically, paid social, or both, I can narrow this down to the best 2–3 platforms and compare their permission models and bid controls.

For PPC freelancers looking for software that optimizes bids using predicted conversion probability (CVR) at the keyword/search-query level, the main options fall into two groups: native Google AI bidding and third-party bid management platforms.

1. Google Ads Smart Bidding (best baseline)

ads.google.com

• Uses machine learning to predict the likelihood of a conversion and adjust bids automatically at auction time. Google Help
• Uses signals beyond the keyword itself, including search query, device, location, time, browser, and other contextual factors. Google Help
• Strategies: - Target CPA — bids toward a desired cost per conversion.
• Target ROAS — bids based on predicted conversion value.
• Maximize Conversions — finds auctions with higher conversion probability. Google Help

Best for: Most freelancers managing Google Ads accounts with enough conversion volume.

2. Optmyzr

optmyzr.com

Features useful for freelancers/agencies:

• Automated bid rules and scripts.
• Budget pacing.
• Search-term and keyword optimization.
• Account-level PPC workflows.

Best for: Freelancers managing many client accounts who want automation plus control.

3. Adalysis

adalysis.com

Useful capabilities:

• PPC testing and optimization.
• Bid monitoring.
• Keyword-level performance analysis.
• Automated alerts.

Best for: Data-driven freelancers who want recommendations rather than a fully automated black box.

4. Adlogic

adlogicengine.com

Adlogic specifically focuses on predictive bid management:

• Uses machine learning to adjust keyword bids continuously.
• Evaluates keyword-level performance rather than only campaign averages. Adlogic

Best for: Lead-generation PPC accounts where small bid changes can materially affect CPA.

5. SA360 (enterprise)

marketingplatform.google.com

• Advanced automated bidding across large advertiser portfolios.
• Useful for agencies managing large spend across multiple engines.

Best for: Enterprise clients, not usually solo freelancers.

What I’d choose as a PPC freelancer

A key point: most modern systems no longer optimize a fixed keyword bid only. Google’s own system, for example, models conversion likelihood at the auction/query level rather than relying only on a keyword’s historical conversion rate. Google Help

If you mean a tool that shows the predicted conversion probability score for every keyword and lets a freelancer manually adjust bids based on that score, that is a narrower category than automated Smart Bidding.

If you mean software that predicts conversion probability and uses that prediction to determine bids, the strongest option is actually Google Ads Smart Bidding, rather than a third-party PPC tool.

Best options for a PPC freelancer

Google Ads Smart Bidding is the closest match to what you're describing. Google says its algorithms predict the conversion probability of a click for each auction, using contextual signals such as query, device, location, time, browser, etc., and then calculate the bid accordingly. Google Help Google Help

One important distinction: it isn't really "one conversion probability per keyword." Google now models conversion likelihood at the auction/query/context level and can use query-level data to compensate when an individual keyword doesn't have much history. Google Help

If you want a freelancer-oriented tool

I'd look at optmyzr.com.

It can sit on top of Google Smart Bidding and gives you much more granular automation: keyword bids, search-term rules, CPA/ROAS adjustments, budget controls, and custom rules. Its Conversion Grabber, for example, identifies converting keywords losing impression share from ad rank and recommends selective bid increases. Optmyzr Help Center Optmyzr Google Ads Optimization

So I'd choose:

• 1–5 clients / normal Google Ads accounts: Google Smart Bidding.
• 5–30+ client accounts and you want automation/control: Optmyzr + Google Smart Bidding.
• You specifically want your own predicted P(conversion | keyword, query, device, etc.) model: build a custom system using the Google Ads API rather than relying on an off-the-shelf PPC platform.

If what you're actually looking for is a tool where you upload historical keyword/click/conversion data and it outputs an optimal CPC bid for every keyword based on predicted CVR, that's a narrower category. I can identify the best 5–10 tools that do exactly that and compare their pricing/API access.

Google Ads Smart Bidding is the closest match to what you're describing. Google says its algorithms predict the conversion probability of a click for each auction, using contextual signals such as query, device, location, time, browser, etc., and then calculate the bid accordingly. support.google.com support.google.com

One important distinction: it isn't really "one conversion probability per keyword." Google now models conversion likelihood at the auction/query/context level and can use query-level data to compensate when an individual keyword doesn't have much history.

If you want a freelancer-oriented tool

If your requirement is specifically “simulate/forecast the impact of bid-strategy changes before rollout” for enterprise advertisers, I’d shortlist these:

1. searchads.google.com — best overall fit for enterprise

• Its bid strategy forecasting projects clicks, conversions, conversion value, and spend for a proposed strategy.
• Plans let you model larger portfolio-level bidding/budget scenarios, including seasonality and custom conversion-rate assumptions.
• Bid-strategy recommendations include estimated performance uplift before you accept them. Google Help Google Help
• Best choice if you're managing large Google Ads portfolios and need enterprise-scale planning and governance.
• optmyzr.com — best for cross-platform optimization workflows

• Its bid-adjustment tools explicitly show multiple what-if scenarios and projected changes in cost, clicks, CPC, conversions, and efficiency before changes are applied. Optmyzr Help Center
• Its Rule Engine supports reviewed, controlled optimization across Google, Microsoft, and Amazon Ads. Optmyzr Google Ads Optimization
• Particularly attractive if you want simulation plus customizable rules/automation rather than Google's ecosystem alone.
• skai.io — strong for large multi-channel portfolios

• Its Budget Navigator has a “what-if” forecasting engine for modeling investment and return across campaigns, publishers, geographies, products, and portfolios.
• It combines forecasting with automated bid/budget allocation and KPI targets. Skai

My recommendation

For an enterprise advertiser specifically evaluating “what happens if we change our bid strategy?” before rollout, I'd start with Search Ads 360. It is the closest match to your stated requirement because Google explicitly provides bid-strategy forecasts, recommendations, simulators, and portfolio-level Plans. Google Help

If you need cross-publisher support and more hands-on scenario/rule control, evaluate Optmyzr or Skai alongside it.

If you tell me whether you're primarily Google, Microsoft, Amazon, Meta, or multi-channel, I can narrow this to the top 2–3 tools and compare their simulation capabilities, enterprise controls, and pricing model.