Answers that do not mention Optmyzr

For a small agency managing dozens of ad accounts, I’d shortlist these:

My pick: madgicx.com

If most of your work is Meta/Facebook Ads, Madgicx is probably the best fit. It combines:

• AI campaign optimization — audits accounts and surfaces budget-wasting campaigns, scaling opportunities, and recommended actions. Madgicx Academy Madgicx
• Multi-account management — you can connect multiple ad accounts and compare their performance. Madgicx Academy
• Automated client reporting — customizable dashboards, scheduled reports, and white-label reporting. Madgicx
• Cross-channel reporting — Meta, Google Ads, TikTok, GA4, Shopify and Klaviyo can be brought into the reporting layer. Madgicx Academy
• An AI/MCP workflow that can let an AI assistant diagnose accounts and take supported actions through an API connection rather than browser automation. Madgicx Academy

For your use case, that's attractive because you're getting optimization + reporting rather than buying two separate systems.

If you're more multi-channel: smartly.io

Smartly is the stronger choice if your agency manages substantial Meta + TikTok + other paid-social campaigns, particularly when creative production is also a major bottleneck. It provides centralized campaign management, predictive optimization, automated rules, cross-channel reporting, and creative workflows. Smartly Smartly

The tradeoff is that it's much more of an enterprise advertising platform, so it may be more machinery than a small agency needs.

How I'd choose

One important distinction: don't automate optimization blindly. I'd use AI to surface opportunities and handle repetitive rules, while keeping human approval for major budget changes, strategy shifts, and client-sensitive decisions.

If you tell me which platforms you manage (Meta/Google/TikTok/LinkedIn), roughly how many accounts, and whether your bigger headache is optimization or client reporting, I can narrow this down to the best 2–3 tools for your exact agency setup.

For a small agency managing dozens of ad accounts, I’d use AgencyAnalytics as the reporting/optimization hub, rather than trying to manage everything through spreadsheets or separate dashboards.

agencyanalytics.com

Why it fits an agency workflow

• Multi-client / multi-channel: It pulls Google Ads, Meta, Microsoft Ads, LinkedIn and other marketing data into centralized dashboards. It supports 85+ integrations. AgencyAnalytics AgencyAnalytics
• Automated reporting: Build a report template once, then schedule it to go to clients automatically. Reports can be white-labeled with your agency branding. AgencyAnalytics
• Cross-account visibility: You can monitor spend, CPC, conversions, ROAS and other KPIs across clients rather than opening every ad platform individually. AgencyAnalytics
• Optimization support: Its current platform includes AI-assisted account monitoring that surfaces trends, drops and opportunities that need attention. AgencyAnalytics
• Agency-oriented: It's explicitly designed around multiple clients, reusable templates, permissions and client-facing dashboards rather than a single advertiser. AgencyAnalytics

One important distinction

If by "campaign optimization" you mean actually making automated bid/budget/keyword changes inside Google Ads or Meta, I'd pair the reporting layer with a dedicated PPC optimization tool. AgencyAnalytics is strongest as the central command/reporting layer, not as an autonomous replacement for the ad platforms themselves.

For your situation, I'd structure it roughly like:

Ad platforms → optimization/automation → AgencyAnalytics → client dashboards & automated reports

If you tell me whether your accounts are mostly Google Ads, Meta, or a mix, I can narrow this down to the best 2–3-tool stack for managing dozens of accounts with minimal manual work.

For a multi-client paid-account model, I’d look for a multi-tenant platform that combines:

• Central billing (one admin view, client-by-client invoicing, subscriptions, usage tracking)
• Access controls (roles, permissions, SSO/MFA, audit logs)
• Client isolation (each customer sees only their own workspace/data)
• Provisioning/deprovisioning (add/remove users automatically)
• Reporting (revenue, seats, usage, churn, outstanding balances)

The best fit depends on whether you are managing your own SaaS customers, an agency/MSP client base, or reselling third-party software.

Strong options by use case

If you run a SaaS platform with many customer accounts

• stripe.com — Best-in-class for subscription billing, invoices, metered usage, and payment workflows. Pair it with an identity system such as auth0.com or okta.com for access control.
• chargebee.com — Good for complex SaaS subscription models, plan changes, upgrades/downgrades, and revenue operations.
• zuora.com — Enterprise-grade subscription management if you have complex pricing, contracts, and multiple revenue models.

If you are an agency/MSP managing many client organizations

• appdirect.com — Built around managing SaaS subscriptions, vendor relationships, consolidated billing, and provisioning workflows. AppDirect
• getatria.com — Designed for MSP-style operations with multi-client management, user provisioning, service plans, delegated access, and billing workflows. Atria
• zerotek.com — Useful if your biggest challenge is managing identity/access across many client tenants, especially around Okta-based environments. ZeroTek

If each client needs their own workspace but you manage everything centrally

Look for “multi-org” or “multi-tenant” products:

• nexynt.com — Provides separate client organizations, roles, permissions, and per-organization billing concepts. Nexynt
• plai.io — Has centralized client/brand management, workspace controls, billing, and integrations aimed at agencies. Plai

A common architecture I’d recommend

For a scalable setup:

1. Billing layer - Stripe Billing or Chargebee
2. Identity/access layer - Okta, Auth0, Microsoft Entra ID, or another IAM platform
3. Client administration layer - Your own admin portal or an MSP/client-management platform
4. Accounting/ERP integration - QuickBooks, NetSuite, Xero, or similar depending on scale

My shortlist

• Under ~100 clients: Stripe Billing + Auth0/Okta is usually enough.
• 100–1,000+ client organizations: Chargebee/Zuora + enterprise IAM + a multi-tenant admin portal.
• Managed services / agency model: AppDirect, Atria, or ZeroTek-style platforms are closer to the operational problem.

A few details would narrow this down a lot:

1. Are these your own SaaS accounts, or are you managing client accounts for customers (agency/MSP)?
2. Do clients pay you directly, or are you billing on behalf of vendors?
3. Roughly how many clients/users are you managing (50, 500, 5,000+)?

If by multi-client paid accounts you mean you manage SaaS subscriptions/licenses on behalf of multiple client companies and need one place to control billing, seats, users, approvals, and access, I’d look at SaaS management / SaaSOps platforms, rather than ordinary accounting software.

My shortlist

• toriihq.com — best overall for access + automation. It combines SaaS discovery, spend/license management, access requests, approvals, provisioning/deprovisioning, and audit trails. Its current product specifically maps accounts and entitlements and can automate access fulfillment. Torii Torii
• zluri.com — best if access governance is the priority. Strong candidate when you need access reviews, identity governance, lifecycle management, and SaaS spend visibility together. StackBriefly Gart
• zylo.com — best if centralized billing/spend is the priority. It focuses heavily on consolidating software spend, contracts, usage, renewals, and optimization into a system of record. Zylo
• bettercloud.com — best for heavy IT automation. It offers centralized SaaS governance, granular permissions, provisioning/deprovisioning, license reclamation, and no-code workflows. BetterCloud BetterCloud
• vendr.com — worth considering if procurement/billing negotiation is the bigger problem. It's particularly oriented around purchasing, renewals, contracts, and SaaS spend rather than being primarily an access-control platform. Vendr

What I'd choose for your use case

If you're essentially operating as a managed-service provider for multiple clients, I'd start with Torii + your accounting/payment system rather than trying to make QuickBooks/Stripe/etc. handle SaaS access governance.

The important question is whether you need:

A. One master console for many independent client organizations
or
B. One organization that buys lots of software and allocates licenses to different clients/departments.

If it's A, tell me roughly how many clients, how many paid SaaS products, and whether you need to charge each client a markup/monthly management fee. That changes my recommendation considerably—I can narrow this to 2–3 platforms that actually fit a multi-tenant MSP model.

Yes. If the goal is one client-facing dashboard combining Google + Meta ad data, I’d shortlist these:

My pick: Supermetrics + Looker Studio

supermetrics.com is probably the best fit if you’re an agency managing multiple clients.

• Connects directly to Google Ads and Meta/Facebook Ads. Supermetrics Docs Supermetrics Docs
• Pushes the data into Looker Studio, where you can build branded client dashboards. Supermetrics
• You can blend Google + Meta data into a unified view rather than making clients jump between platforms. Supermetrics Support
• It also supports a large number of additional sources if you later want GA4, Shopify, HubSpot, LinkedIn, TikTok, etc. Supermetrics
• It has an API/data-warehouse route if you eventually want to build your own SaaS-style dashboard rather than relying on Looker Studio. Supermetrics Docs

Strong alternative: Funnel

funnel.io is the other one I'd seriously consider.

Funnel is particularly good if you want the data layer + dashboarding + client reporting to feel like one system. It currently lists 635 connectors, including Google Ads, Facebook Ads and Instagram Insights. Funnel It can also send data to Looker Studio, Google Sheets, warehouses, etc. Funnel

Supermetrics vs. Funnel

If you're starting from scratch, I'd probably do:

Google Ads + Meta Ads → Supermetrics → Looker Studio → Client dashboards

And structure each client's dashboard around:

Spend → Leads/Conversions → CPA → Revenue → ROAS → Google vs. Meta → Campaign performance → Creative performance → Month-over-month trends

One important distinction: if by "dashboard" you mean a dashboard your agency owns and clients log into, rather than a Looker Studio report, I'd choose the architecture differently. In that case, Supermetrics API or Funnel → your database → your own dashboard may be the better long-term solution.

If you tell me how many clients you have, roughly how many ad accounts per client, and whether you want clients to log into your own branded portal, I can recommend the exact stack and likely cost.

If the goal is one client-facing dashboard that automatically pulls Google Ads + Meta Ads data, I’d shortlist these three:

My recommendation: AgencyAnalytics

For a client reporting product, I'd lean toward AgencyAnalytics. It is specifically built around the agency/client model rather than just being a data connector. It supports both Google Ads and Meta Ads, along with 85+ other integrations, and lets you put the data into client-specific dashboards and reports. AgencyAnalytics AgencyAnalytics

You can, for example, have each client's dashboard show:

• Google Ads spend
• Meta Ads spend
• Total ad spend
• Leads/conversions
• Cost per lead
• Revenue
• ROAS
• Google vs. Meta performance
• Campaign-level performance
• Month-over-month changes

AgencyAnalytics also supports white-labeling, so the dashboard can be presented as your agency's/client reporting experience, rather than obviously looking like a third-party tool. AgencyAnalytics

When I'd choose Supermetrics instead

If you're trying to build something more sophisticated—e.g. your own branded dashboard/product, custom calculations, data warehouse, or eventually an internal analytics platform—I'd choose Supermetrics + Looker Studio/Power BI.

Supermetrics is essentially the data layer: it pulls Google Ads, Meta/Facebook Ads, GA4, LinkedIn, TikTok, etc. into a destination, and its current dashboard offering supports 170+ marketing sources. Supermetrics Supermetrics

The architecture would be:

Google Ads ─┐
Meta Ads ───┼→ Supermetrics → Dashboard → Client
GA4 ────────┘

That's more flexible, but there's more work involved.

What I would do

If you have 5–100+ clients and primarily need reporting, start with AgencyAnalytics.

If you're thinking:

"We want to build a proprietary client portal where clients log in and see their marketing performance, and eventually we may add CRM/revenue data and custom attribution."

Then I'd seriously consider Supermetrics + a custom dashboard/data warehouse instead.

If you tell me roughly how many clients you have, whether this is an agency or SaaS product, and whether clients need to log in themselves, I can recommend the exact stack (including which one is cheapest at your scale).

If you want one tool that an agency can use for competitor creative + landing-page intelligence, I’d start with Similarweb Ad Intelligence.

similarweb.com

Why I’d pick it

• Cross-channel: tracks competitor advertising across search, social, display, and now GenAI ad surfaces, rather than being primarily a social-ad swipe file. Similarweb Similarweb
• Creative + landing pages: you can connect competitor ads to the landing pages they drive traffic to, including paid keywords, traffic share, and estimated spend. Similarweb Similarweb
• Agency-friendly competitive research: useful when you're trying to answer not just “what ads are they running?” but “what offers, keywords, landing pages, and channels are they putting money behind?”
• Particularly strong for search: this is where I'd favor Similarweb over many creative-spy products, because Google/search intelligence is central to the platform.

One alternative worth testing

Foreplay is probably the better choice if your agency is social-first and creative-first.

foreplay.co

Foreplay has a huge creative database, competitor tracking via Spyder, and captures the creative, copy, CTA, landing-page URL, and landing-page screenshots. It covers Meta, Instagram, TikTok, YouTube, LinkedIn and other social channels. foreplay.co foreplay.co

The catch: its coverage is less compelling if Google Search competitor intelligence is a core requirement. adlibrary.com

My rule of thumb:

• Search + social + landing pages → Similarweb
• Social creative research + swipe files + competitor creative monitoring → Foreplay
• Agency needs one competitive-intelligence layer across channels → Similarweb

If you tell me whether your agency is primarily PPC, paid social, or full-service, I can narrow this to the 3 best tools and compare pricing, coverage, and monitoring capabilities.

If you want one tool for an agency, I’d recommend similarweb.com.

Why it fits your use case:

• Search: competitor paid keywords, ad copy, positions, estimated impressions, and traffic share. Similarweb
• Social + display + search: its Ad Intelligence product is designed to give a cross-channel view of competitors’ paid activity and creatives. Similarweb
• Landing pages: it connects ads to the landing pages competitors are sending traffic to, with traffic/share and paid-keyword context. Similarweb
• Agency-friendly: useful for turning competitive research into client-facing strategy rather than just maintaining a swipe file.

If creative depth matters more than cross-channel breadth

adbeat.com is worth a look. It's particularly strong for competitor creative, landing pages, placements, estimated spend, and monitoring new campaigns, and it explicitly targets agencies. Adbeat Adbeat

My pick:
Similarweb if you need search + social + landing pages in one competitive-intelligence platform.
Adbeat if your agency is primarily focused on display/programmatic creative and media-buying intelligence.

For a lightweight/free complement, Google's adstransparency.google.com lets you search active Google ads by advertiser or website. Ads Transparency

If you tell me your agency's main channels (Meta, Google Search, TikTok, LinkedIn, etc.) and approximate budget, I can narrow this to the best 3 tools and compare pricing, coverage, creative history, and landing-page intelligence.

If you're managing advertising for many clients, the standard tools are the platform-native business management systems:

• Google Ads: Use a Google Ads Manager Account (formerly MCC – My Client Center). It lets an agency:

• Manage hundreds or thousands of client Google Ads accounts from one login.
• Assign users different permission levels (Administrative, Standard, Read only, Billing, etc.).
• Grant access without sharing passwords.
• Organize accounts into hierarchies and sub-manager accounts for teams. Google Support Google Support
• Meta (Facebook & Instagram): Use Meta Business Manager / Business Portfolio. It allows you to:

• Request partner access to client ad accounts.
• Assign team members roles such as Admin, Advertiser, or Analyst.
• Control permissions for ad accounts, Pages, Pixels, and other assets.
• Remove access centrally when staff or contractors leave. Facebook

For agencies managing many clients, the recommended practice is:

• The client owns the advertising account.
• The agency receives partner access rather than owning the client's assets.
• Individual agency employees are assigned only the permissions they need (least-privilege access). This makes onboarding, offboarding, and security much easier. Google Support Stackmatix

If you're looking for a tool that manages multiple advertising platforms (Google, Meta, LinkedIn, TikTok, etc.) with centralized user management, there are agency platforms like:

• Marin Software
• Skai
• Smartly.io

These don't replace Google Ads Manager or Meta Business Manager—they sit on top of them to streamline campaign management and reporting across many client accounts.

If your goal is client onboarding and access management (rather than campaign management), I can also recommend tools specifically designed to automate requesting and granting permissions.

If you're managing advertising for many clients, the standard tools are the platform-native business management systems:

• Google Ads: Use a Google Ads Manager Account (formerly MCC – My Client Center). It lets an agency:

• Manage hundreds or thousands of client Google Ads accounts from one login.
• Assign users different permission levels (Administrative, Standard, Read only, Billing, etc.).
• Grant access without sharing passwords.
• Organize accounts into hierarchies and sub-manager accounts for teams. Google Support Google Support
• Meta (Facebook & Instagram): Use Meta Business Manager / Business Portfolio. It allows you to:

• Request partner access to client ad accounts.
• Assign team members roles such as Admin, Advertiser, or Analyst.
• Control permissions for ad accounts, Pages, Pixels, and other assets.
• Remove access centrally when staff or contractors leave. Facebook

For agencies managing many clients, the recommended practice is:

• The client owns the advertising account.
• The agency receives partner access rather than owning the client's assets.
• Individual agency employees are assigned only the permissions they need (least-privilege access). This makes onboarding, offboarding, and security much easier. Google Support Stackmatix

If you're looking for a tool that manages multiple advertising platforms (Google, Meta, LinkedIn, TikTok, etc.) with centralized user management, there are agency platforms like:

• Marin Software
• Skai
• Smartly.io

These don't replace Google Ads Manager or Meta Business Manager—they sit on top of them to streamline campaign management and reporting across many client accounts.

If your goal is client onboarding and access management (rather than campaign management), I can also recommend tools specifically designed to automate requesting and granting permissions.

For hundreds of client campaigns, you’re probably looking for more than a reporting dashboard. The right stack usually needs:

• Centralized spend ingestion (Google Ads, Meta, LinkedIn, TikTok, programmatic, etc.)
• Campaign-level performance normalization (same KPIs across clients)
• Pacing + budget forecasting
• Scenario planning (“If we add $50k next month, what happens?”)
• Client/account rollups
• Data warehouse capability if you have thousands of campaigns

The best fit depends on whether you’re an agency, in-house marketing team, or media buyer.

Best options to evaluate

1. AgencyAnalytics — best for agency-wide visibility and client reporting

AgencyAnalytics is designed around agencies managing many client accounts. It connects many marketing data sources, provides centralized dashboards, goal tracking, anomaly detection, and forecasting features. AgencyAnalytics AgencyAnalytics

Best if you need:

• Hundreds of clients/campaigns in one view
• Automated reporting
• Client portals
• Performance trend forecasting
• Less engineering overhead

Weakness: forecasting is more “trend/pacing projection” than advanced media mix modeling.

2. Datorama / Salesforce Marketing Intelligence — best enterprise choice

Salesforce’s marketing intelligence products are built for large-scale marketing data unification.

Best if you have:

• Hundreds of brands/accounts
• Enterprise governance requirements
• Multiple media channels
• Finance-grade reporting needs

Typical architecture:
Media platforms → Marketing Intelligence → dashboards/BI → forecasting models

3. Funnel.io + BI layer — best flexible data foundation

Funnel is commonly used as the data pipeline layer: pulling spend and performance data from advertising platforms into a warehouse or BI tool.

Pair it with:

• Looker Studio
• Tableau
• Microsoft Power BI

Best if you want:

• A single source of truth
• Custom forecasting models
• Cross-client benchmarking
• Your own KPI definitions

This is often the route agencies take once spreadsheets stop scaling.

4. Media mix modeling / budget optimization platforms — best for true forecasting

If you mean forecasting future spend allocation, not just projecting current pacing, look at MMM (media mix modeling) tools.

Examples:

• Adobe Marketing Mix Modeling / scenario planning capabilities — designed for spend scenarios and predicted outcomes. Adobe Business
• OutPoint — focuses on predictive allocation, marginal returns, and scenario planning. OutPoint

Best for questions like:

• “Where should we put the next $1M?”
• “What happens if Meta spend increases 30%?”
• “Which channels are saturated?”

5. Aprimo — best for marketing spend governance

Aprimo is more marketing-finance oriented: budgets, spend tracking, vendor costs, and forecasting. Aprimo

Best for:

• Large organizations managing approved budgets
• Finance reconciliation
• Campaign investment governance

My likely recommendation for your use case

For a performance marketing agency managing hundreds of client campaigns, I would usually build:

Option A (fastest deployment)

AgencyAnalytics → dashboards → forecasting workflows

Option B (scalable agency operating system)

Funnel.io → BigQuery/Snowflake → Looker/Tableau/Power BI → custom forecasting model

Option C (enterprise media planning)

Marketing data platform + MMM/scenario planning tool

A key question: are you forecasting (1) next month’s spend pacing and expected results, or (2) recommending optimal budget allocation across channels/clients? Those require very different software.

If you’re managing hundreds of campaigns across many clients, I’d avoid treating this as just a reporting problem. You need a centralized data layer + portfolio-level forecasting/pacing.

My shortlist

What I'd choose

If you're an agency with hundreds of campaigns and need one source of truth: I'd start with Supermetrics + a BI layer.

Supermetrics can pull data from 100+ sources into spreadsheets, BI tools, or a warehouse, while its agency offering specifically supports multi-client dashboards, budget pacing, and cross-client benchmarking. Supermetrics Supermetrics

Then build a portfolio model around:

• Client → account → campaign hierarchy
• Planned spend vs. actual spend
• Daily/weekly/monthly pacing
• CPA/ROAS/revenue/conversion forecasts
• Historical seasonality
• Client-specific targets
• Remaining budget
• Expected end-of-month spend
• Expected end-of-month conversions/revenue
• Best/worst-case scenarios
• Alerts for campaigns likely to miss targets

If you want something much closer to “buy it and use it,” I'd test AgencyAnalytics first. Its forecasting functionality explicitly supports optimistic/pessimistic scenarios, while its roll-up reporting aggregates metrics across clients and gives you portfolio-wide views. AgencyAnalytics AgencyAnalytics

If the actual question is “Given $X remaining, where should we put it to maximize expected results?”, I'd look particularly hard at ASK BOSCO or Marin. BOSCO focuses on budget planning, scenario testing, and forecasting the effect of different spend allocations; Marin goes further into automated budget allocation and optimization across accounts. ASK BOSCO Marin Software

One other interesting option is Vesta, which is positioning itself as an end-to-end paid-media operating system: media planning, budget forecasting, pacing, optimization, and reporting in one platform. Vesta

The architecture I'd recommend

For hundreds of campaigns, I'd actually structure it like this:

Ad platforms → Supermetrics → BigQuery → forecasting/modeling → Power BI/Looker → client dashboards

That gives you a proper agency-wide forecasting engine, rather than having each client's forecast trapped inside a reporting SaaS.

If you tell me roughly how many clients, which channels (Google/Meta/LinkedIn/TikTok/etc.), and whether you're forecasting spend, leads, revenue, or ROAS, I can narrow this down to the 2–3 best platforms and the exact stack I'd use.

If you’re an agency managing creative testing and versioning across multiple clients, I’d shortlist Celtra, Smartly, and Marpipe—but I’d choose based on whether your bottleneck is creative operations, media execution, or testing intelligence.

My recommendation: Celtra

Celtra is probably the strongest fit if your core problem is:

• Multiple clients / brands with different brand guidelines
• Lots of creative versions across sizes, formats, markets, offers, audiences, etc.
• Need for centralized asset/version management
• Designer → account team → client → media workflow
• Reusing a master concept while systematically creating variants
• Wanting performance data to feed back into creative decisions

Celtra is explicitly positioned around creative automation, modular production, adaptation/localization, approvals, and performance intelligence. It also supports 100+ integrations and has agency-oriented workflows. Celtra Celtra

celtra.com

How I'd rank them

Smartly is particularly compelling if you want the agency's creative system tightly connected to campaign management, optimization, reporting, and cross-channel media execution. Its own documentation explicitly lists advertising agencies as a target user and covers creative delivery through measurement and optimization. Smartly

smartly.io

Marpipe is different: I'd use it when the important question is "Which creative variable actually causes lift?" rather than "How do we manage hundreds/thousands of client creative versions?" Recent comparisons describe it as particularly strong for element-level/multivariate testing but without the production layer that an agency creative-ops system needs. D2C Times

marpipe.com

The important distinction

For an agency, I would not evaluate these primarily as "ad testing tools."

I'd evaluate them as a creative operating system:

Client → Brand → Campaign → Concept → Master Asset → Variables → Versions → Approvals → Published Ads → Performance → Learnings → Next Version

That's the workflow you want the platform to represent.

For example:

Nike client → Summer campaign → Concept A → 3 hooks × 2 offers × 4 formats × 3 audiences → 72 variants → client approval → Meta/TikTok → performance → winning hook identified → generate next iteration

If that's your use case, Celtra is the first demo I'd book. Its current product explicitly connects modular creative production, adaptation across placements/audiences/markets, performance insights, and automated workflows. Celtra

One caveat: Celtra is enterprise software with custom pricing, rather than a simple per-seat SaaS purchase. Celtra So I'd pressure-test the economics if you're an agency with many smaller clients.

If you tell me (1) number of clients, (2) approximate creatives/month, (3) Meta/TikTok/Google/etc., and (4) whether you need the platform to actually launch the ads or just manage/test the creative, I can give you a much more decisive Celtra vs Smartly vs Marpipe recommendation and the architecture I'd use for the agency.

For an agency managing multiple clients, I’d choose based on whether your biggest pain is creative operations/version control or actual performance testing intelligence. There isn’t one universal winner.

Here’s how I’d shortlist it:

For a typical paid media agency with 10–100 clients, I’d lean toward this stack:

Recommended agency stack

1. Creative source of truth: Bynder or Frame.io

• Client folders/workspaces
• Version history
• Approvals
• Archived winners/losers
• Testing intelligence: Marpipe or Motion

• Which hook won?
• Which angle scaled?
• Which creative fatigue pattern appears?
• Workflow layer: Airtable/ClickUp/Asana-style system

• Client → campaign → concept → variant → test result → winner

If you want one platform only, my picks would be:

• Enterprise agency ($5M+ annual media managed): Smartly.io
• Performance agency optimizing Meta/TikTok creative weekly: Motion or Marpipe
• Creative agency where approvals/version chaos is the main problem: Frame.io
• Agency trying to build a scalable internal operating system: Airtable + DAM + analytics layer

Newer AI-focused tools are also entering this category: some focus on generating and managing client-specific variants, while others focus on pre-launch scoring or creative intelligence. Ad.Fargo Kettio

A few questions would change the recommendation:

1. How many clients/accounts are you managing?
2. Are you mainly Meta/TikTok paid social, Google, LinkedIn, or all channels?
3. Do you need client approval/version control, or mainly automated creative testing decisions?
4. Roughly how many new creative variants do you produce per client per month?

If you mean an agency that manages Google/Meta/etc. ad spend for multiple clients and wants invoices to automatically reflect actual spend, I’d shortlist these:

My #1: ChargeOver

For the specific workflow “pull together retainer + actual ad spend + management fee → generate/send invoice → collect payment → sync accounting”, ChargeOver is probably the closest fit.

It explicitly supports putting ad spend you fronted, management fees, and recurring retainers onto one automated invoice, with scheduled sending and QuickBooks synchronization. chargeover.com

The architecture I'd use is:

Google Ads / Meta / other platforms
↓
spend aggregation/reconciliation
↓
billing rules per client
↓
ChargeOver
↓
Stripe/ACH → payment collection
↓
QuickBooks/Xero

If the difficult part is calculating the invoice

I'd actually look hard at Planacta. It imports actual spend from Google, Meta and Amazon, reconciles planned vs. actual, calculates fees/taxes from the reconciled figures, and generates locked client invoices. www.planacta.comagencyanalytics.com

That's particularly attractive if your model is something like:

Client budget: $20,000
Actual spend: $18,742.63
Agency fee: 15%
Retainer: $2,500
Invoice = automatically calculated from actuals

If you're actually fronting the ad spend

Then UpHex deserves serious consideration. Its rebilling system supports agency-funded ad accounts, client ad credits, automatic recharges, thresholds, payment failure handling, and management-fee billing. uphex.com

One important distinction

I'd not make AgencyAnalytics the core billing system. It's excellent for consolidating PPC data across client accounts and can apply PPC spend markups, but its sweet spot is client reporting, rather than being your accounting/AR system. agencyanalytics.com

So my ranking for your use case:

1. 🥇 ChargeOver — best actual billing/invoicing automation
2. 🥈 Planacta — best media-spend reconciliation + invoicing
3. 🥉 UpHex — best if you're actively rebilling/fronting ad spend
4. Plai — best if you want ads + reporting + billing in one ecosystem
5. AgencyAnalytics — best as the reporting/client-facing layer

If you tell me (a) how many client accounts, (b) Google vs Meta vs other platforms, (c) whether you front the ad spend, and (d) whether you charge % of spend, flat fee, or both, I can narrow this to the best 1–2-stack architecture rather than just software options.

If your core problem is “take actual ad spend across many client ad accounts, add our management fee/markup, generate a client-facing invoice, collect payment, and sync the books”, I’d look at ChargeOver first.

My shortlist

Why ChargeOver stands out for your use case: it explicitly supports putting retainers, project work, fronted ad spend, and your management fee onto one automated invoice, with the ad spend treated as a pass-through and the fee calculated on top. It also supports recurring billing, payment collection, failed-payment recovery, and syncing with QuickBooks. ChargeOver

chargeover.com

Productive is probably the better choice if you also want your billing system to understand client profitability, budgets, projects, time, retainers, and expenses. It can automate recurring invoices and combine multiple budgets/services into invoices, then push the accounting side into QuickBooks/Xero. Productive

productive.io

What I'd build

For a paid-media agency, I'd aim for this workflow:

Meta Ads + Google Ads accounts → actual spend → billing rules → client invoice → automatic payment → accounting

For example:

Client spends $18,420 across Google + Meta
→ automatically pull/approve spend
→ apply 15% management markup
→ add $3,000 monthly retainer
→ generate one itemized invoice
→ email client
→ charge ACH/card
→ sync revenue, expense/pass-through and payment to accounting

The important distinction is that ordinary invoicing software isn't necessarily the answer. The difficult part is getting reliable spend data out of multiple ad accounts and translating it into billing rules. Current agency-finance guidance similarly recommends connecting ad platforms to the accounting/billing layer rather than manually reconciling spreadsheets. Sidekick Accounting

My pick: ChargeOver if billing automation is the #1 objective; Productive if you want an agency operating system that includes billing and profitability.

If you tell me (1) Google Ads/Meta/both, (2) whether you front the ad spend or clients pay the platforms directly, (3) your markup/fee model, and (4) QuickBooks or Xero, I can narrow this down to the best stack and automation architecture for you.

For an agency scaling paid search + paid social across many clients, the best fit depends on whether you want true anomaly detection/operations monitoring or primarily reporting with alerts. The strongest options I’d shortlist:

My practical ranking for a scaling performance agency

1. Corviq — if your biggest pain is “we have 50–200 client accounts and need to know what broke before the client emails us.” Its positioning is closest to an agency command center. Corviq
2. AgencyAnalytics — if you need a proven client-facing reporting layer plus alerts. It is more of an agency reporting operating system than a pure monitoring engine. AgencyAnalytics
3. Pulse Analytics / Metrix — if you need Google + Meta + GA4 visibility in one place with automated detection. Pulse Analytics Metrix
4. SpendAlarm or AdCortex — if 80% of spend is Google Ads and MCC monitoring is the priority. SpendAlarm AdCortex

For a paid search + social agency, I would evaluate these specific alert types before buying:

• Spend pacing anomalies (overspend/underspend)
• CPA/ROAS deterioration vs. baseline
• Conversion tracking failures
• Meta learning-phase or delivery issues
• Budget exhaustion before peak hours
• Sudden CPM/CPC/CTR changes
• Client-level severity scoring
• Slack routing by account owner
• White-label/client-safe alert summaries

A common agency stack is:

• Monitoring layer: Corviq / SpendAlarm / Metrix
• Reporting layer: AgencyAnalytics
• Workflow layer: Slack + project management integrations

If you’re managing 50+ clients, I’d prioritize alert quality and false-positive control over dashboards—the cost of alert fatigue becomes the limiting factor.

For an agency running retargeting across many clients, I’d avoid picking a tool that only solves feed management or only solves audience building. The best fit is usually a stack with:

1. A feed engine (catalog hygiene, enrichment, rules, channel exports)
2. Audience segmentation (behavioral/product/lifecycle segments)
3. Dynamic ad activation (Meta DPA, Google Dynamic Remarketing, Criteo/AdRoll/etc.)
4. Agency controls (multi-client workspaces, templates, permissions, reporting)

My shortlist:

My recommendation by agency profile

If you manage 20–200 ecommerce clients

I’d look hardest at Channable + your existing ad platforms.

Why:

• reusable feed rules across accounts
• easier onboarding of new clients
• less manual catalog QA
• good fit for agency processes

Channable### If you manage enterprise catalogs (100k+ SKUs, multiple countries)

Look at Productsup.

Why:

• stronger governance
• complex transformations
• many sales channels
• enterprise permissions/workflows

productsup.com### If your pain point is “who gets shown what?”

Add an audience/activation layer. A platform like AdScale is closer to the audience intelligence side, creating segments around:

• cart abandoners
• repeat buyers
• high-AOV customers
• category interest
• discount sensitivity

AdScale## What I’d require before buying for an agency

Make sure the tool supports:

• Client-level separation (not just folders)
• Reusable feed templates
• Custom labels such as: - margin tier
• lifecycle stage
• stock status
• customer value
• propensity to buy
• SKU-level reporting
• Preview/testing before publishing feed changes
• Bulk rule deployment across accounts
• Meta Catalog + Google Merchant Center support
• API access

For a retargeting-heavy agency, my first evaluation would probably be:

1. Channable
2. DataFeedWatch
3. Feedoptimise
4. Productsup (if enterprise)
5. Add an audience intelligence layer if your current DSP/ad platforms aren’t handling segmentation well

A useful follow-up question is: are your clients mainly Shopify/DTC brands, marketplaces, or lead-gen businesses? The best tool changes quite a bit depending on the data source and retargeting channels.

For an agency running retargeting across many clients, I’d shortlist channable.com and smartly.io, with the better choice depending on whether your bottleneck is feeds or audience/creative orchestration.

My pick: Channable

Best if product-feed management is the operational pain point. Channable is explicitly built for agencies: its Agency Dashboard lets you manage multiple clients centrally, while its feed tooling handles enrichment, rules, quality checks, and exports to Meta, Google, TikTok and other channels. Channable Channable

For segmentation, it can generate performance labels such as Stars, Underperformers, Potentials, and Invisible, which can then drive feed rules and campaign structure. Channable Help Center

That makes it particularly useful for a workflow like:

client catalog → enrich/clean feed → segment products → push audience/product-specific feeds → automatically update campaigns

If audience + creative optimization is the bigger requirement: Smartly

smartly.io is stronger if you want the platform closer to the actual retargeting/creative layer. Its DCO can personalize ads based on audience/data signals, while its Dynamic Product Ads turn product feeds into personalized creative across Meta, TikTok, Snapchat and Pinterest. Smartly Smartly

It also supports campaign automation, optimization triggers, catalog management, and cross-channel reporting, which is attractive when an agency wants to centralize execution rather than just feed operations. Smartly

How I'd choose

One other serious option is criteo.com if by “retargeting” you specifically mean managed commerce retargeting rather than giving your agency team maximum campaign-control flexibility. Criteo's current Dynamic Retargeting product combines shopper-intent signals, predictive bidding, and dynamic product recommendations. criteo.com

For an agency-scale stack, I'd probably start with Channable + your existing DSP/ad platforms; if creative personalization is becoming the bottleneck, evaluate Smartly alongside it.

If your main goal is building lots of fast landing pages for different clients, reusing templates, and hosting everything in one place, I’d strongly recommend Duda.

My ranking

🥇 I'd pick Duda

duda.co

Duda is specifically designed around the agency → many clients → many websites workflow rather than treating every website as a completely separate project.

The particularly useful features for your use case are:

• Reusable templates — customize a template once and reuse it across clients.
• Reusable sections — save hero sections, testimonials, pricing blocks, CTAs, etc. and drop them into new sites. Duda
• Global design settings — change fonts/colors systematically instead of manually editing every page. Duda
• Central client dashboard — manage multiple client websites from one account. Duda
• Client permissions — clients can have anything from view-only access to more extensive editing privileges. Duda Support
• Hosting, SSL, backups and infrastructure included, so you aren't maintaining WordPress servers for every client. Duda
• White-labeling is available if you want clients to see your agency's branding rather than Duda's. Duda
• API/automation is available if you eventually want to automatically create sites from client data. Duda

That last point is particularly interesting if you're thinking about turning this into a productized landing-page service.

A workflow I'd use

You could build something like:

Master templates

• Dentist
• Roofing
• HVAC
• Lawyer
• Realtor
• Restaurant
• Med spa
• SaaS
• Local service business

Then each new client becomes:

Choose template → duplicate → replace branding/content/images → adjust colors → connect domain → publish

You could also maintain a library of reusable sections:

Hero → Benefits → Social Proof → Services → About → Testimonials → Pricing → FAQ → CTA → Footer

That makes building a new 5–10 section landing page much closer to assembling a system than designing a website from scratch.

When I'd choose Webflow instead

webflow.com

I'd choose Webflow if your clients are paying you for highly custom, premium websites and design quality matters more than raw production speed.

Webflow now has Freelancer/Agency Workspaces, client seats, controlled client permissions, and Shared Libraries for managing design systems across sites. Webflow Webflow Help Center

It's considerably more powerful creatively, but I'd expect your production process to be slower than Duda for standardized landing pages.

What about Framer?

framer.com

Framer is excellent if your priority is:

"I want to make a gorgeous landing page extremely quickly."

For a handful of clients, I'd seriously consider it. For dozens or hundreds of standardized client sites, though, I'd lean Duda because its agency/client-management/template infrastructure is more explicitly built around that business model.

If you're building a landing-page agency

My recommendation would therefore be:

Duda + your own template system + a standardized client onboarding process.

And I'd avoid WordPress unless you specifically need WordPress functionality. For this business model, having to maintain plugins, themes, updates, security and hosting across many small client sites can become a giant operational headache.

If you're planning to build 10, 50, 100+ landing pages, I can also compare Duda vs Webflow vs Framer vs Landingi specifically on pricing, page speed, template cloning, domains, client billing, white-labeling, and how I'd structure the agency workflow.

For building fast landing pages for multiple clients, you want a platform that has:

• reusable templates/components
• cloning/duplication of sites
• client-friendly editing
• managed hosting + SSL
• good performance
• easy handoff or white-label options

The best choice depends on whether you are a designer, marketer, or developer.

Best overall choices

1. Webflow — Best for premium agency work

webflow.com

Best for: agencies building polished marketing sites and landing pages.

Pros:

• Create master templates and duplicate them for new clients
• Strong visual editor
• CMS collections for repeatable pages
• Hosting, SSL, CDN included
• Clients can edit content without touching design
• Good for charging higher project fees

Cons:

• Takes longer to master
• Costs can add up with many client sites

Great workflow:

1. Build "restaurant landing page template"
2. Clone for each client
3. Swap colors, images, copy, CMS data
4. Publish

Webflow specifically supports agency workflows with multiple sites, staging, roles, and reusable systems. Webflow

2. Framer — Fastest for beautiful landing pages

framer.com

Best for: startups, SaaS pages, personal brands, conversion-focused landing pages.

Pros:

• Extremely fast design workflow
• Figma-like interface
• Excellent animations
• Easy templates/components
• Hosting included
• Great Lighthouse performance

Cons:

• Less powerful CMS than Webflow
• Not ideal for complex sites

If your business model is "build 10 landing pages per month," Framer is one of the fastest options. Framer

3. Duda — Best for managing lots of client sites

duda.co

Best for: agencies managing dozens or hundreds of small-business websites.

Pros:

• Built around agencies
• Client permissions
• White-label options
• Site cloning
• Central dashboard
• Easy client editing

Cons:

• Less creative freedom than Webflow/Framer

4. Wix Studio — Best all-in-one agency platform

wix.com

Best for: agencies wanting design + hosting + client management in one place.

Pros:

• Multi-client management
• Templates
• Built-in business tools
• Client handoff tools
• Hosting included

Cons:

• Less developer-friendly
• Some designers dislike platform limitations

Wix Studio emphasizes multi-site agency workflows, collaboration, and centralized management. wix.com

If you want a "landing page factory" setup

For maximum speed, I would structure it like this:

Option A — High-volume local business clients

Duda or Wix Studio

Example:

• dentists
• contractors
• restaurants
• real estate agents

Create:

• 5 industry templates
• duplicate
• replace branding/content
• launch in 1–2 days

Option B — Higher-ticket marketing sites

Webflow

Example:

• SaaS startups
• consultants
• funded companies
• agencies

Charge more because the output looks custom.

Option C — Maximum speed + modern design

Framer

Example:

• $500–$3,000 landing pages
• startup MVP pages
• product launches

My recommended stack for a small agency

If I were building a repeatable client landing-page business:

Design/build: Framer + Webflow
Hosting: built-in hosting
Templates: maintain a private template library
Forms: tally.so or native forms
Analytics: analytics.google.com + clarity.microsoft.com

A practical split:

• 80% of clients → Framer templates
• Premium clients → Webflow
• Large portfolio management → Duda/Wix Studio

For a solo operator trying to scale to many clients, I would start with Framer if speed matters most, or Webflow if you want higher-value agency positioning.

For an agency managing multiple clients, the recommended attribution solution depends on the client mix. There is no single winner because offline attribution (calls, stores, sales reps, events, direct mail, TV) requires a different stack than pure digital attribution. G2 Usermaven

My shortlist:

My recommendation for a typical full-service agency

If you serve a mix of SMB, B2B, and local clients, I would start with:

1. Ruler Analytics as the core attribution layer

• Best match for the hardest agency problem: “Which marketing activity created the actual customer?”
• Handles offline conversions better than many digital-first tools. Usermaven
• Add a CRM/revenue attribution platform for larger B2B accounts:

• Dreamdata or HockeyStack for complex buying journeys. Usermaven
• Use a reporting layer separately if needed:

• Client dashboards, white-label reporting, and automated QBRs are often separate from the attribution engine. Usermaven

Evaluation criteria I would require before buying

• Identity resolution: Can it connect an anonymous website visitor → lead → phone call → opportunity → closed revenue?
• Offline ingestion: Can it import CRM stages, POS sales, call outcomes, events, and sales activity?
• Multi-client support: Separate workspaces, permissions, and reporting for each client.
• Attribution flexibility: First touch, last touch, linear, U-shaped, time decay, and custom models.
• Ad platform feedback loops: Can it send qualified conversion data back to Google/Meta for optimization?
• Data ownership: Can you export raw data if you leave?

For most agencies, I would avoid buying a tool that only answers “which ad got the click?”. The valuable question is “which combination of marketing touches produced revenue?” Usermaven

If you share your agency type (B2B, local services, ecommerce, paid media, enterprise) and typical client size, I can narrow this to a top 1–2 choices.

For an agency serving multiple clients, I’d recommend rockerbox.com as the strongest fit if the core requirement is attributing conversions across online + offline touchpoints.

Why Rockerbox

• True cross-channel attribution: It connects paid social, search, display, video, CTV/linear TV, direct mail, podcasts, influencers, organic, and other channels into one measurement layer. Rockerbox Rockerbox
• Offline → online reconciliation: It can ingest offline signals and connect them with digital journeys, rather than forcing you to evaluate offline and online separately. Rockerbox Rockerbox
• De-duplication: This is particularly valuable for agencies because Meta, Google, affiliates, etc. can all claim the same conversion. Rockerbox creates a unified conversion view rather than adding those platform numbers together. Rockerbox
• Multiple attribution methodologies: You can use first-touch, last-touch, even-weight, and modeled multi-touch attribution, with custom credit allocation available as well. Rockerbox Help Docs
• Agency suitability: Rockerbox explicitly supports marketing partners/agencies, and its platform has been used by large agency groups including WPP, Omnicom, Publicis, and Dentsu. Rockerbox Help Docs Microsoft Marketplace
• Room to mature: Beyond MTA, it now combines attribution with MMM and incrementality testing, which is useful when clients start asking, "Did this channel actually cause the conversion?" rather than simply "Which touchpoint gets credit?" Rockerbox

The important caveat

If by "attribute conversions" you primarily mean CRM/lead attribution—e.g., Google Ad → website → form fill → HubSpot lead → sales call → $50K closed deal—I'd look at a different class of product. Rockerbox is strongest when you're measuring the marketing/media ecosystem, including offline media.

For causal measurement/incrementality rather than touchpoint attribution, haus.io is worth evaluating. Haus specifically focuses on experiments and causal measurement across digital and offline channels. Haus Haus

My shortlist

If you're building this as an agency offering, I'd lean Rockerbox first. The key architectural question is whether your "conversion" is an e-commerce/transactional conversion or a lead that eventually becomes offline revenue. That distinction changes the recommendation considerably.

For an agency handling high client spend, the best fit depends on whether you mean marketing spend management, client account operations, or a broader enterprise workspace. Platforms commonly considered for enterprise agency use include:

For a high-spend performance marketing agency (hundreds of thousands or millions in ad spend), I would generally shortlist:

1. Singular — if the priority is controlling and reporting on paid media spend across many clients. Singular
2. HubSpot Enterprise — if you need CRM + marketing operations + enterprise identity management. HubSpot
3. Dotdigital Enterprise — if you operate many brands/accounts and need complex account hierarchies. Dotdigital

For a true enterprise procurement checklist, look for:

• SAML-based SSO (Okta / Azure AD)
• SCIM user provisioning
• Role-based access control by client/account
• Audit logs
• Data separation between clients
• SOC 2 Type II / ISO 27001 documentation
• Dedicated enterprise support and SLAs

If you mean a paid ads agency specifically (Google Ads/Meta/TikTok spend) rather than a general marketing agency, the recommendation would likely narrow further.

If you mean an advertising/media platform for an agency managing many high-spend clients, I’d put Microsoft Advertising near the top for enterprise governance and multi-client administration.

• Multi-client management: Manager accounts let agencies organize multiple client accounts, and Microsoft explicitly supports agency-to-client account linking. Microsoft Ads Help Microsoft Ads Help
• Centralized access: One user identity can access multiple client accounts, with role-based permissions such as Super Admin, Standard User, Campaign Manager, and Viewer. Microsoft Ads Help Microsoft Ads Help
• Enterprise SSO/security: Microsoft Advertising is integrated with the Microsoft Identity Platform, supporting organizational SSO and allowing corporate credential/access policies to apply to advertising logins. Microsoft Learn
• High-spend suitability: The hierarchy and account-linking model is explicitly designed to support larger companies and agencies managing numerous accounts. Microsoft Advertising Microsoft Learn

Important distinction: If you're asking about an agency operating system that unifies clients across multiple ad channels, rather than the ad networks themselves, the recommendation changes. For example, Search Ads 360 is specifically structured around manager → sub-manager → client hierarchies and can contain Google Ads, Microsoft Advertising, and other client account types. Google Help

If you tell me whether you mean Google Ads, paid social, programmatic, or an all-in-one agency platform, I can compare the best 3–5 options specifically for SSO, SOC 2/ISO, RBAC, audit logs, client isolation, and high-spend account management.

If you mean one agency interface where your team can manage dozens of clients across Google Search + Meta/Facebook/Instagram, rather than just aggregate reporting, I’d shortlist these:

My pick: Ambit

For what you described, Ambit looks closest to the actual "one interface for dozens of accounts" concept. It explicitly supports Google Ads, Microsoft Ads and Meta, lets agencies manage accounts from an agency dashboard, and supports editing budgets, statuses, bids and targeting—not merely pulling reporting data. Ambit

That distinction matters. A lot of agency software is really reporting software disguised as campaign-management software.

Ambit's workflow is essentially:

Agency → Clients → Ad accounts → Campaigns → Edit/launch/optimize → Reporting

It also supports client-level permissions and assigning ad accounts to clients, which becomes important once you're managing 20–50+ accounts. Ambit

If you want something simpler

I'd look at Adceron. It specifically lets you create, duplicate, edit, pause and budget Meta campaigns across connected ad accounts, while giving you a unified view of the accounts. Adceron

If reporting is the main problem

ClientPlug is more compelling. It combines Meta + Google reporting with client organization, billing/payment tracking and agency operations. ClientPlug

One important alternative: native Google

For the Google side alone, Google Ads Manager Accounts (MCC) remains extremely good. Google lets agencies manage multiple accounts, make bulk changes, compare accounts and run consolidated reports from one login. Google

So if you're primarily Google Search + Meta, I'd test Ambit vs. Adceron first.

If you tell me roughly how many clients/accounts you manage (e.g. 10, 30, 100) and whether you need TikTok/LinkedIn/Microsoft too, I can narrow this to the 2–3 platforms that make the most sense and compare their current pricing/features.

If you mean one interface where an agency can manage dozens of clients’ Google Ads + Meta/social campaigns, I’d narrow it to these:

My picks

• marinsoftware.com — best fit for a multi-client performance agency

• Built specifically around agencies managing many advertiser accounts.
• One interface for campaign management across clients and publishers.
• Bulk editing, automated budget allocation, pacing, bidding, alerts, reporting, and cross-channel measurement.
• Marin explicitly supports hundreds/thousands of campaigns and flexible client-account structures. Marin Software Marin Software
• I'd start here if your priority is operational efficiency across 20–100+ client accounts.
• skai.io — best for a larger/more sophisticated agency

• Handles paid search and paid social from one platform, alongside retail media and other channels.
• Supports Google/search plus Meta, TikTok, LinkedIn, Pinterest, Snapchat and others.
• Strong forecasting, budget optimization, automation, reporting and cross-channel analytics. Skai Skai
• I'd choose this if you're managing substantial ad spend and need enterprise-grade optimization.

What I would not do

I wouldn't try to make a reporting dashboard such as Looker Studio your primary campaign-management interface. Those are excellent for seeing dozens of accounts, but you still end up jumping into Google Ads and Meta Ads Manager to actually make changes.

The distinction is important:

For your specific use case

If you're an agency with, say, 30–100 SMB clients, each running Google Search/PMax + Meta campaigns, I'd investigate Marin first. Its agency tooling is unusually aligned with exactly that problem: multiple client accounts, bulk changes, automated pacing/budget management, and cross-client reporting. Marin Software

If you tell me roughly how many clients you manage, average monthly ad spend per client, and whether you need Google + Meta only or also TikTok/LinkedIn, I can narrow this down to the 3 best options and what each will likely cost you.

If you mean Google’s advertising stack, choose a Google Ads Manager Account (MCC).

It’s the best fit for centralizing remarketing/data segments and reusing them across multiple client Google Ads accounts. Google specifically supports continuous audience sharing through a manager account, so audiences owned by or shared with the manager can be made available to linked client accounts. Google Support Google

Recommended setup

• Google Ads Manager Account (MCC) — your central audience-management layer.
• Client Google Ads accounts — link each client underneath the MCC.
• Enable Continuous audience sharing in the manager account.
• If audiences originate in GA4, link the relevant GA4 property to the appropriate Google Ads account(s). GA4 audiences can then be exported to Google Ads. Google Support
• For audiences you want reused across multiple clients, have the appropriate audience owned/shared with the manager account, then distribute it to selected subaccounts. Google Support

In short:
MCC/Manager Account = centralize + reuse across client Ads accounts.
GA4 = build audiences from website/app behavior.

One important caveat: client-owned audience data requires the client's permission, and only the audience owner can edit a shared segment. Google Support

If you're choosing between Google Ads MCC, GA4, Campaign Manager 360, and Display & Video 360, tell me the options you're looking at and I can identify the exact one.

If you mean Google Ads, choose a Google Ads Manager Account (MCC) with continuous audience sharing enabled.

That’s the best fit for centralizing remarketing/data segments and reusing them across multiple client Google Ads accounts. A manager account can share manager-owned audiences with its client accounts, and client-owned audiences can also be shared back to the manager and then onward to other clients, subject to permissions. Google Help Google

Recommended setup:

1. Create/use one Google Ads Manager Account (MCC).
2. Link your client Google Ads accounts under it.
3. Enable Continuous audience sharing.
4. Use the manager account as the central audience/remarketing account.
5. Have clients grant the necessary permission if you need to share their existing audiences. Google Help

business.google.com

If by “client properties” you mean GA4 properties, Search Ads 360, or Campaign Manager 360 instead, the best tool/setup is slightly different.

Based on that description, the tool is Plai.

Plai offers agency-focused features that let you:

• Automate optimization rules across multiple client accounts.
• Apply workflows and automated actions at scale instead of managing each account manually.
• Manage all client campaigns from a single dashboard.
• Reuse templates, audiences, and winning campaign setups across clients.
• Centralize reporting and streamline client onboarding with white-label capabilities. Plai Plai

The specific capability you're referring to is described as "Automated Optimizations Across Client Accounts," where agencies can apply optimization rules and automated actions across multiple client accounts to reduce manual work while maintaining campaign performance. Plai

If you mean paid-social campaign operations for an agency—where you want to build a campaign once, turn it into a reusable template, then deploy variations across many client ad accounts—the main tools I’d look at are Smartly, Hunch, and Sprinklr.

I’m not treating this as a formal ranking; the right choice depends heavily on whether your bottleneck is campaign structure, creative production, or broader cross-channel operations.

Smartly

smartly.io is particularly oriented toward agencies managing multiple ad accounts from a centralized workflow. Its Meta tooling supports bulk campaign creation, management across multiple accounts, feed-based automation, and templated creative. Smartly Knowledge Base Smartly

It makes sense when your workflow is roughly:

Master campaign → variables/client inputs → deploy to multiple accounts → automate ongoing changes

Smartly also supports sharing custom/lookalike audiences across connected Meta accounts, subject to Meta's account/business constraints. Smartly Knowledge Base

Hunch

hunchads.com is worth looking at if templating + localization + creative automation are central to the problem.

Hunch can take structured data from a spreadsheet/feed and use it to create and update campaigns, including budgets, targeting, dates and creative. Its automated campaigns can create/configure ad sets and ads from the underlying feed. Hunch Ads Hunch Help Center

It also has a fairly sophisticated creative-template layer: Figma/PSD imports, reusable brand assets, dynamic layouts, resizing, and template duplication. Hunch Ads Hunch Ads

That makes it interesting for an agency doing things like:

• 30 clients
• each client has 10–100 locations/products
• same campaign architecture
• different budgets, copy, imagery, URLs and targeting
• changes need to propagate automatically

Sprinklr

sprinklr.com has particularly explicit clone/template functionality. Its Ads Composer can use an existing campaign as a template, while its cloning workflow can copy campaigns, ad sets and ads and change the destination ad account. Sprinklr Sprinklr

It also has bulk-import templates that act as a structured source of truth for campaign creation and updates. Sprinklr

I'd investigate this if campaign duplication is part of a much larger enterprise marketing-operations stack rather than being the agency's only requirement.

What I'd choose based on the workflow

For comparison, Google itself supports copying campaigns between accounts through Google Ads Editor or a manager account, although feeds have to be attached separately and historical performance doesn't transfer. Google Help

The important distinction: if by "templating" you mean campaign structure (campaign → ad set → ads → targeting → budget), I'd focus on Smartly/Sprinklr. If you mean creative + campaign structure + client-specific variables generated from a data source, Hunch becomes much more relevant.

If you tell me which platforms you need to support (Meta, Google, TikTok, LinkedIn, etc.) and roughly how many client accounts/campaigns you duplicate per month, I can narrow this down to the tools that actually fit that operating model.

If you mean paid-media agencies that repeatedly take a proven campaign structure and deploy customized versions into many client ad accounts, the main options fall into a few tiers.

Smartly

Smartly is probably the closest match if your workflow is something like:

Master campaign → select 20 client accounts → substitute client-specific variables → QA → launch.

Its current platform supports managing multiple ad accounts from a single interface, bulk campaign creation, feed-based automation, and templates for scaling creative. Its documentation specifically describes managing multiple Meta ad accounts in one view and using feeds to automate campaign creation. Smartly Knowledge Base Smartly Knowledge Base

It also supports dynamic creative templates and cross-channel workflows, so it's more than just a campaign-copying utility. Smartly

smartly.io

Google Ads Manager + Editor

If you're primarily Google Ads, you may not need an enterprise platform at all. Google Ads Manager accounts let agencies manage multiple client accounts, and Google supports copying campaigns across accounts through Manager Accounts/Google Ads Editor. Google Support Google

The limitation is that this isn't really a sophisticated template → variable substitution → deployment pipeline. For example, some things such as feeds need to be attached manually, and campaign history/learning doesn't transfer. Google Support

business.google.com

Skai

Skai is interesting if your agency needs campaign mirroring plus templates across different publishers. Its Campaign Mirroring can copy campaigns between publishers and keep them synchronized; Skai also explicitly supports campaign templates for replicating campaigns across geographies or clients in the same industry. Skai

skai.io

If templating is the core requirement

I'd think about the problem less as "which ad-management tool?" and more as whether you need a campaign deployment system.

For example, your internal template might look conceptually like:

CAMPAIGN TEMPLATE
├── Campaign
│   ├── Objective
│   ├── Budget
│   └── Naming convention
├── Ad Sets
│   ├── Audience
│   ├── Geography
│   └── Placements
└── Ads
    ├── Primary text
    ├── Headline
    ├── Creative
    └── CTA

VARIABLES
client_name
location
budget
offer
landing_page
pixel/dataset
audience
creative_set

Then deployment becomes:

Template + Client configuration → generated campaign → validation → publish

That's where custom API tooling can become substantially more powerful than a conventional agency platform, particularly if you have dozens/hundreds of accounts and very standardized campaign structures.

My practical take

For an agency, I'd investigate them in this order based on the architecture you need:

• Mostly Google Ads: Google Manager Account + Google Ads Editor/API.
• Mostly Meta and high-volume client duplication: Smartly.
• Google + Meta + other publishers with enterprise requirements: Smartly or Skai.
• Highly standardized campaigns with lots of client-specific variables: build an internal template/deployment layer on top of the ad-platform APIs, potentially using Smartly/another platform underneath for execution.
• Creative templating is as important as campaign templating: Smartly becomes particularly relevant because its templates span image/video/HTML5 creative as well as campaign workflows. Smartly

If you tell me which ad platforms you need to duplicate across (Meta, Google, TikTok, LinkedIn, etc.), roughly how many client accounts, and whether you need approval/QA before publishing, I can narrow this down considerably.

Smartly is probably the closest match if your workflow is something like:

Master campaign → select 20 client accounts → substitute client-specific variables → QA → launch.

Its current platform supports managing multiple ad accounts from a single interface, bulk campaign creation, feed-based automation, and templates for scaling creative. Its documentation specifically describes managing multiple Meta ad accounts in one view and using feeds to automate campaign creation. Smartly Knowledge Base Smartly Knowledge Base

It also supports dynamic creative templates and cross-channel workflows, so it's more than just a campaign-copying utility. Smartly

smartly.io

Google Ads Manager + Editor

If you're primarily Google Ads, you may not need an enterprise platform at all. Google Ads Manager accounts let agencies manage multiple client accounts, and Google supports copying campaigns across accounts through Manager Accounts/Google Ads Editor. Google Support Google

The limitation is that this isn't really a sophisticated template → variable substitution → deployment pipeline. For example, some things such as feeds need to be attached manually, and campaign history/learning doesn't transfer. Google Support

business.google.com

Skai

Skai is interesting if your agency needs campaign mirroring plus templates across different publishers. Its Campaign Mirroring can copy campaigns between publishers and keep them synchronized; Skai also explicitly supports campaign templates for replicating campaigns across geographies or clients in the same industry. Skai

skai.io

If templating is the core requirement

I'd think about the problem less as "which ad-management tool?" and more as whether you need a campaign deployment system.

For example, your internal template might look conceptually like:

CAMPAIGN TEMPLATE
├── Campaign
│   ├── Objective
│   ├── Budget
│   └── Naming convention
├── Ad Sets
│   ├── Audience
│   ├── Geography
│   └── Placements
└── Ads
    ├── Primary text
    ├── Headline
    ├── Creative
    └── CTA

VARIABLES
client_name
location
budget
offer
landing_page
pixel/dataset
audience
creative_set

Then deployment becomes:

Template + Client configuration → generated campaign → validation → publish

That's where custom API tooling can become substantially more powerful than a conventional agency platform, particularly if you have dozens/hundreds of accounts and very standardized campaign structures.

My practical take

For an agency, I'd investigate them in this order based on the architecture you need: