Answers that do not mention Optmyzr

If by “multi-client paid accounts” you mean an agency/managed-service setup where your company pays for multiple client accounts, while your staff need centralized administration and clients get isolated access, I’d look at agency/PSA platforms rather than generic project-management software.

Shortlist

Teamwork.com is particularly relevant if you're also managing the actual client work: it has client portals, billable time, retainer management, budgets and profitability reporting, with portfolio-level visibility across client projects. Teamwork Teamwork

Productive is worth comparing if the financial side is central—projects, resources, budgets, billing and profitability are its core agency/PSA use case. Teamwork

If your main problem is “we have 20–100 separate paid client accounts and want one admin console, one login, granular employee permissions, and centralized billing”, I'd look particularly closely at PayHelm Agency Hub and purpose-built agency programs. PayHelm describes separate client organizations with isolated data, roles, permissions and billing under one identity. payhelm.com

If you tell me what kind of accounts you're managing (e.g. Google Ads, SaaS subscriptions, social media, hosting, AI tools, software licenses, etc.) and roughly how many clients/users, I can narrow this to 2–3 options that actually fit your setup.

If you’re managing paid accounts for multiple clients and need both centralized billing and granular access control, I’d look at a stack rather than a single tool.

A practical setup

• stripe.com — payments, subscriptions, invoices, cards, refunds, and customer billing. If each client needs its own Stripe account/entity, Stripe’s platform model can support connected accounts. Stripe Support
• workos.com — centralized identity, organizations/tenants, SSO, user management, and RBAC. WorkOS supports organization-scoped roles and custom roles, which is useful when different clients need different permission structures. WorkOS WorkOS
• withorb.com — consider this if your billing is complicated—usage-based charges, credits, different pricing by client, hybrid seat + usage pricing, contracts, etc. Orb supports usage metering, hybrid pricing, invoicing, and spend controls. Orb Orb

How I'd structure it

Think of your system as:

Your organization
→ Client A / Client B / Client C
→ users belonging to each client
→ roles such as Owner / Billing Admin / Admin / Member / Viewer
→ one or more subscriptions/billing relationships per client.

That gives you a central admin layer while keeping each client's data and permissions isolated.

If you're essentially an agency/reseller managing subscriptions that belong to your clients, I'd lean toward Stripe + WorkOS. If you're actually building a SaaS platform where billing can vary substantially by client or usage, I'd consider Stripe + WorkOS + Orb.

The important distinction is whether by "paid accounts" you mean accounts in your own SaaS, or third-party SaaS subscriptions you're purchasing/managing on behalf of clients. Those lead to quite different software choices.

If you manage paid accounts for multiple clients and need centralized billing + granular access, I’d shortlist:

• ManyRequests — best if you’re an agency delivering recurring services; combines client portals, subscriptions, billing, workflows, and Stripe. ManyRequests
• Gestmi — strong all-in-one option with separate client organizations, client logins, billing, permissions, CRM, and branded portals. Gestmi
• Chargebee + Stripe Connect — best if you’re building a more sophisticated platform/reseller model and need centralized subscription billing across entities. Chargebee Stripe
• Nexynt — worth considering if strict client isolation, per-client permissions, and separate billing are the priority. Nexynt

My default recommendation: ManyRequests for an agency; Chargebee + Stripe Connect if you're effectively operating a SaaS/reseller platform.

If you tell me what paid accounts you manage (e.g. Google Ads, SaaS subscriptions, AI tools, social platforms), I can narrow this to 2–3 exact fits.

If you’re an agency and the goal is one client-facing dashboard pulling Google Ads + Meta Ads data into a single place, I’d narrow it down to these options:

Kampalo Groove Media### My recommendation by agency size

If you have 1–10 clients:

• Start with Looker Studio + a Meta connector (often Supermetrics, Porter, Funnel, etc.).
• Build one strong template:

• Spend
• Impressions/reach
• CPC
• CTR
• Leads/conversions
• CPL
• ROAS (if ecommerce)
• Google vs Meta comparison

This gives you maximum control and a professional dashboard. About Martech Groove Media

If you have 10+ clients and want minimal maintenance:

• Use AgencyAnalytics.
• The big advantage is that onboarding a new client is much faster and reporting can be automated. Groove Media Good Morning Co

If you want a premium “clients log in and see our platform” experience:

• Consider Whatagraph or a custom Looker Studio/BI setup. Good Morning Co

A setup I’d use for a performance marketing agency

Data layer

• Google Ads API
• Meta Ads API
• GA4
• CRM (HubSpot, Salesforce, GoHighLevel, etc.)

⬇️

Dashboard

• Looker Studio (custom)

or

• AgencyAnalytics (faster deployment)

⬇️

Client view

• Executive summary:

• “How much did we spend?”
• “How many leads/sales?”
• “Cost per result”
• “What changed this month?”
• Campaign detail:

• Google vs Meta
• Winners/losers
• Budget pacing

One thing I’d avoid: choosing a tool based only on the number of integrations. The important question is whether it handles your client reporting workflow (templates, permissions, branding, automation), not just whether it can pull data. Kampalo

If you tell me:

1. number of clients,
2. whether they need a login portal or just monthly reports,
3. whether you need CRM/revenue attribution,

I can narrow it to the best fit.

If the goal is “pull Google + Meta data into one client-facing dashboard with minimal manual work,” I’d shortlist three options:

My recommendation: AgencyAnalytics

agencyanalytics.com is probably the cleanest fit if you're building dashboards for clients, rather than just analyzing data internally.

It natively connects to Google Ads and Meta Ads, and also supports Google Analytics, Search Console, Facebook/Instagram, LinkedIn, TikTok, Shopify, HubSpot and many other sources. It is specifically designed around multiple clients, with client portals, white-label branding, dashboards and automated reports. AgencyAnalytics AgencyAnalytics

For example, you could give each client a dashboard showing:

• Google Ads: spend, impressions, clicks, CPC, conversions, CPA, ROAS
• Meta Ads: spend, reach, clicks, leads, CPA, ROAS
• Combined: total ad spend, total leads, blended CPL/CPA, total conversions, overall ROAS
• GA4: traffic, conversions, revenue
• SEO: Search Console / rankings
• Client-specific KPIs: revenue, booked calls, leads, etc.

AgencyAnalytics supports multiple Google Ads accounts and Meta accounts, which is useful when you're managing a portfolio of clients. AgencyAnalytics Knowledge Base AgencyAnalytics Knowledge Base

When I'd choose Looker Studio instead

If you have someone technical who can build and maintain dashboards, I'd consider:

Google Ads + Meta → Supermetrics → Looker Studio

That gives you considerably more control over the dashboard and data modeling. Supermetrics is essentially the data connector, while Looker Studio is the visualization layer. Groove Media

The downside is that you are building the reporting system yourself. For an agency with 30–100 clients, that maintenance can become annoying.

What I'd do

If you're an agency and the dashboard is part of the client experience, I'd start with AgencyAnalytics.

If you're trying to build a proprietary reporting product/dashboard that you eventually want to customize heavily or feed into your own application, I'd go with Supermetrics + BigQuery/another warehouse + Looker Studio instead.

If you tell me roughly how many clients you have, what Google/Meta data you need, and whether clients need their own login/white-label portal, I can recommend the exact stack and compare the likely monthly cost.

For an agency that needs one competitive-ad intelligence platform spanning search, social, creatives, and landing pages, I’d look closely at Similarweb’s Ad Intelligence.

similarweb.com

Why it fits:

• Cross-channel: tracks competitor activity across search, social, display, and video, rather than limiting you to PPC. Similarweb Similarweb
• Creative intelligence: lets you examine competitors’ ad creatives, messaging, formats, and campaigns. Similarweb Similarweb
• Landing pages: connects paid ads to competitor landing pages and provides traffic, keyword, and estimated spend context. Similarweb
• Agency-friendly: the broader platform is designed for benchmarking competitors and working across multiple clients/campaigns. Similarweb
• Search monitoring: it can monitor competitor bidding activity on specific keywords and provide alerts. Similarweb

Alternative: Semrush

semrush.com

Semrush is particularly strong if Google/search intelligence is the core requirement. Its Advertising Research shows competitor ad copy, paid keywords, ad history, and associated landing pages; its higher-tier AdClarity adds display, video, and social coverage. Semrush Semrush Semrush

Rule of thumb: choose Similarweb if the agency wants a broad cross-channel ad-spy/competitive-intelligence layer; choose Semrush if the workflow is more heavily centered on search/PPC research and reporting.

For an agency managing many client ad accounts, the usual tools are agency management platforms or the native business manager/admin tools from the ad platforms.

Common options:

• Meta Business Manager — Used by agencies to manage multiple Meta (Facebook/Instagram) ad accounts, assign people, set roles (admin, advertiser, analyst, etc.), and control access to specific client assets. LinkedIn Business Solutions
• Google Ads Manager Account (MCC) — Lets agencies manage multiple Google Ads client accounts from one login, with user access controls and account-level permissions.
• AgencyAnalytics — Useful when the goal is giving clients and internal staff controlled access to dashboards, reports, and connected marketing data. AgencyAnalytics
• NinjaCat — Provides agency user roles and lets agencies control which client accounts different users can access. NinjaCat Docs
• AgencyAccess — Focuses on collecting and managing client permissions/access during onboarding across ad and analytics platforms. AgencyAccess
• Leadsie — Helps agencies request and manage client access without sharing passwords. Leadsie

If you mean “one central tool where an agency owner can add employees, clients, roles, and permissions across hundreds of ad accounts”, look for an agency operations platform with RBAC (role-based access control). Examples include tools like AgencyAnalytics, NinjaCat, or specialized ad-management platforms. AgencyAnalytics NinjaCat Docs

If you mean specifically Meta ads, Google Ads, TikTok ads, or all platforms together, the best answer changes.

For an agency managing many client ad accounts, the tool you’re looking for is usually an agency management platform with role-based access control (RBAC) or the ad platforms’ own manager accounts/business managers.

Common options:

• Google Ads Manager Account (formerly MCC) — lets agencies manage multiple Google Ads accounts from one dashboard and assign users with different access levels. Good for controlling who can manage which client accounts.
• Meta Business Manager — lets agencies manage multiple ad accounts, Pages, pixels, and other assets with roles such as admin, employee, and partner access. LinkedIn
• Microsoft Advertising Manager Accounts — supports agency account hierarchies and user roles across multiple advertiser accounts. Microsoft Learn
• AgencyAnalytics — useful when the goal is giving staff and clients controlled access to dashboards, reports, and connected marketing data rather than directly managing ad platforms. It supports staff/client users and granular permissions. AgencyAnalytics AgencyAnalytics Knowledge Base
• AgencyAccess — focused on collecting and organizing client access requests across platforms, using guided onboarding flows instead of exchanging passwords. AgencyAccess

If you mean “one place where an agency owner can add employees, assign them only certain client ad accounts, and control permissions at scale,” look for:

• agency/team management
• RBAC (role-based access control)
• client/account-level permissions
• audit logs
• partner access management

For running campaigns, use the ad platforms’ manager tools (Google Ads Manager, Meta Business Manager, etc.). For organizing people and permissions across many platforms, an agency operations platform may fit better. AgencyAnalytics AgencyAnalytics Knowledge Base

If you mean Meta/Facebook ad accounts, the tool is Meta Business Manager (now Business Portfolio/Meta Business Suite). It lets an agency:

• Manage many client ad accounts from one agency business.
• Add employees and assign roles/permissions.
• Get partner access to client-owned ad accounts without taking ownership.
• Control access at the individual ad-account/asset level. Blip Stackmatix

If you mean Google Ads, the equivalent is a Google Ads Manager Account (MCC). You link multiple client accounts under the manager account, and users' roles can be inherited across the account hierarchy. Google for Developers

In short:
Meta → Business Manager/Business Portfolio
Google Ads → Manager Account (MCC)

If you're looking for a third-party agency tool that manages permissions across Meta + Google + TikTok/etc. from one dashboard, I can name the best options.

If you’re managing hundreds of client campaigns and the goal is to consolidate spend + performance + forecasting, I’d look at this as a marketing data infrastructure problem rather than just a reporting/dashboard problem.

Shortlist

• Supermetrics — strong fit if you want to centralize hundreds of client accounts, normalize channel data, and feed it into forecasting models/BI. It explicitly supports multi-client agency workspaces, budget pacing, and connections to Google Ads, Meta, LinkedIn, TikTok, GA4, CRM systems, warehouses, etc. Supermetrics Supermetrics

supermetrics.com

• Improvado — worth considering if you're operating at significant scale and need a more enterprise-grade data layer. It advertises 1,000+ integrations, cross-client harmonization, governance, attribution, and warehouse/BI connectivity. Improvado Improvado

improvado.io

• Funnel — particularly relevant if your primary problem is creating a standardized data layer underneath many client dashboards and reports. Funnel describes itself as the marketing data hub for agency client work, sitting between ad platforms and BI/reporting/warehouse systems. Funnel

funnel.io

For your specific use case

I'd structure it roughly like:

Ad platforms / CRM / analytics
→ Supermetrics / Improvado / Funnel
→ centralized client × campaign × date dataset
→ forecasting model
→ Power BI / Looker / custom planning interface

The important part is that your underlying dataset should probably have dimensions like:

Client → Channel → Account → Campaign → Date

and measures such as:

Budget | Spend | Impressions | Clicks | Conversions | Revenue | CPA | ROAS | Pacing

Then your forecasting layer can calculate things like:

• month-end spend
• expected conversions/revenue
• budget remaining
• projected CPA/ROAS
• under/over-pacing
• scenario forecasts if budgets change
• historical performance by client/channel/campaign

One important distinction: these platforms are primarily the data consolidation/analytics layer. I wouldn't choose one solely because it says "forecasting." If forecasting is the central requirement, I'd want the consolidated data flowing into a proper modeling layer (warehouse + Python/SQL, Power BI, or a dedicated planning/forecasting system).

For hundreds of clients, I'd lean toward evaluating Supermetrics vs. Improvado vs. Funnel first, with the deciding factor being how much you need data engineering/governance versus ease of deployment.

If you tell me (1) roughly how many clients/accounts, (2) which ad platforms, (3) whether you need client-level forecasts or campaign-level forecasts, and (4) what you currently use for reporting (Excel, Sheets, Power BI, Looker, etc.), I can map out the actual stack I'd use and what the implementation would look like.

Then your forecasting layer can calculate things like:

• month-end spend
• expected conversions/revenue
• budget remaining
• projected CPA/ROAS
• under/over-pacing
• scenario forecasts if budgets change
• historical performance by client/channel/campaign

One important distinction: these platforms are primarily the data consolidation/analytics layer. I wouldn't choose one solely because it says "forecasting." If forecasting is the central requirement, I'd want the consolidated data flowing into a proper modeling layer (warehouse + Python/SQL, Power BI, or a dedicated planning/forecasting system).

For hundreds of clients, I'd lean toward evaluating Supermetrics vs. Improvado vs. Funnel first, with the deciding factor being how much you need data engineering/governance versus ease of deployment.

If you tell me (1) roughly how many clients/accounts, (2) which ad platforms, (3) whether you need client-level forecasts or campaign-level forecasts, and (4) what you currently use for reporting (Excel, Sheets, Power BI, Looker, etc.), I can map out the actual stack I'd use and what the implementation would look like.

If you’re managing hundreds of client campaigns and the goal is to consolidate spend + performance + budgets + forecasts, I’d look at this as a marketing data infrastructure + forecasting problem rather than just a dashboard problem.

My shortlist

1. funnel.io — my first choice

For your use case, Funnel is probably the strongest starting point.

It is built around a centralized marketing data hub, with connectors across paid media, analytics, CRM, ecommerce, etc. It can normalize campaign data, retain historical data, apply your business logic, and push the resulting dataset into BI/warehouse tools. Funnel Funnel

More importantly for an agency managing lots of clients, Funnel supports:

• Multi-client workspaces
• Spend and budget pacing
• Performance vs. goals
• Roll-up reporting across clients
• Custom dimensions/metrics
• Historical data
• Data exports to BI/warehouses
• Budget/target context
• Measurement and budget optimization/scenario simulation on its higher-end offering Funnel Funnel

Funnel's agency pricing currently starts around $300/month for Agency Standard and $600/month for Agency Advanced, although your actual price will depend on scale and requirements. Funnel

2. supermetrics.com — best if you want flexibility

Supermetrics is particularly attractive if you already have analysts working in BigQuery, Snowflake, Power BI, Excel, Google Sheets, or Looker Studio.

It supports multi-client data management and explicitly positions itself for agencies ranging from a handful of clients to thousands. It can pull data from Google Ads, Meta, LinkedIn, TikTok, GA4, CRM systems, etc., and supports custom data imports for sources that aren't natively connected. Supermetrics Supermetrics

I'd choose Supermetrics over Funnel if your team wants to own the modeling/forecasting layer themselves.

The architecture I'd actually build

For hundreds of clients, I wouldn't try to make one SaaS application do everything.

I'd build:

Ad platforms → Funnel/Supermetrics → centralized data model → forecasting engine → dashboard

For example:

Google Ads ─┐
Meta Ads ───┤
TikTok ─────┤
LinkedIn ───┤
GA4 ────────┤
CRM ────────┤
             ↓
       Funnel / Supermetrics
             ↓
       BigQuery / Snowflake
             ↓
     Standardized campaign model
             ↓
     Forecasting + scenarios
             ↓
       Power BI / Looker

The important part is the standardized campaign model.

I'd want every campaign represented roughly like:

Then you can forecast at multiple levels:

• Client → monthly spend
• Client → channel
• Channel → campaign
• Entire agency portfolio
• Current month → month-end
• Remaining quarter
• Remaining year

And, critically, you can answer questions such as:

"We're $4.2M committed across 300 clients. How much will we actually spend by month-end?"

or:

"Which clients are likely to underspend their committed budgets?"

or:

"If Meta gets another $500K, what should we expect in incremental conversions?"

That's where I'd put the forecasting intelligence rather than trying to make the reporting tool itself be the forecasting system.

Funnel vs. Supermetrics

Funnel also now has Marketing Mix Modeling, attribution, budget optimization, and scenario simulation, which makes it particularly interesting if by "forecasting" you mean more than simply projecting month-end spend. Funnel

My recommendation

If you mean "I need a single system where my agency can consolidate hundreds of clients' campaign data and then forecast spend/performance", I'd start with Funnel.

If you mean "I need a reliable data extraction layer, and we're going to build sophisticated forecasting ourselves", I'd choose Supermetrics + BigQuery/Snowflake + a BI/forecasting layer.

If you tell me roughly how many clients, which ad platforms (Google/Meta/TikTok/etc.), monthly spend, and whether your forecast is primarily spend pacing or performance/ROAS/conversion forecasting, I can recommend a specific stack and data architecture—including what I'd use for the actual forecasting model.

"We're $4.2M committed across 300 clients. How much will we actually spend by month-end?"

or:

"Which clients are likely to underspend their committed budgets?"

or:

"If Meta gets another $500K, what should we expect in incremental conversions?"

That's where I'd put the forecasting intelligence rather than trying to make the reporting tool itself be the forecasting system.

Funnel vs. Supermetrics

Funnel also now has Marketing Mix Modeling, attribution, budget optimization, and scenario simulation, which makes it particularly interesting if by "forecasting" you mean more than simply projecting month-end spend.

My recommendation

If the core requirement is “an agency-level system to create, version, test, learn from, and scale ad creative across many clients”, I’d narrow the shortlist to Smartly, Celtra, and Marpipe.

My take

If you're an agency, I'd start with Smartly

smartly.io is particularly aligned with your use case because it explicitly supports agency teams managing multiple accounts, with creative production, versioning, approvals, campaign management, and performance insights in one environment. Smartly Smartly

The interesting part for an agency is the creative operating system rather than simply an AI ad generator:

• Build a master creative/template.
• Generate dozens or hundreds of variants.
• Maintain brand/client-specific rules.
• Version creative without creating a mess of files.
• Push variants into campaigns.
• Analyze which creative elements are working.
• Feed those learnings into subsequent iterations.
• Manage this across multiple client accounts. Smartly Smartly

That's much closer to an agency creative infrastructure layer than a standalone "make me some ads with AI" product.

When I'd choose Celtra instead

celtra.com makes more sense if you're building a larger enterprise-grade creative production operation, particularly if you have sophisticated brand governance, many formats/channels, programmatic/CTV, localization, and complex modular creative requirements.

Celtra now positions its platform around the entire creative lifecycle: production, review, approval, activation, testing, and creative intelligence, with 100+ integrations. Celtra Celtra

The tradeoff is that Celtra is very enterprise-oriented and uses customized pricing rather than a simple self-serve model. Celtra

When I'd choose Marpipe

marpipe.com is particularly interesting if testing itself is the centerpiece of your agency offering.

Its approach is different: rather than merely telling you that Ad A beat Ad B, Marpipe is designed around multivariate testing of individual creative elements—headlines, images, CTAs, layouts, etc.—so you can build a database of what actually drives performance for each client. Marpipe Marpipe

It also has a specific agency partner program, including multi-client agency workflows and flat-rate pricing rather than charging a percentage of ad spend. Marpipe

So I'd think about it this way:

Smartly = agency creative operating system
Celtra = enterprise creative production infrastructure
Marpipe = creative experimentation/intelligence engine

What I'd actually build for an agency

If you're serious about this becoming a repeatable service across 10, 50, or 100+ clients, I wouldn't evaluate these platforms primarily on "how many AI ads can it generate?"

I'd score them on:

1. Client isolation — separate brands, assets, permissions, reporting.
2. Master → variant architecture — one concept producing many controlled versions.
3. Version history — know exactly what changed between V1, V2, V3.
4. Testing methodology — distinguish creative concepts from individual variables.
5. Cross-client learnings — while keeping client data appropriately isolated.
6. Performance ingestion — Meta, Google, TikTok, etc.
7. Automated iteration — winner → new variants.
8. Approval workflow — strategist → creative → client → media buyer.
9. Reporting — turn creative testing into something you can show clients.
10. API/exportability — avoid making your agency completely captive to the platform.

If you tell me roughly how your agency operates — e.g. number of clients, monthly ad spend, Meta-only vs Meta/Google/TikTok, static vs video, and whether you want the platform to actually launch ads or just manage creative/testing — I can narrow this to a specific stack and architecture.

Celtra now positions its platform around the entire creative lifecycle: production, review, approval, activation, testing, and creative intelligence, with 100+ integrations. Celtra Celtra

The tradeoff is that Celtra is very enterprise-oriented and uses customized pricing rather than a simple self-serve model. Celtra

When I'd choose Marpipe

marpipe.com is particularly interesting if testing itself is the centerpiece of your agency offering.

Its approach is different: rather than merely telling you that Ad A beat Ad B, Marpipe is designed around multivariate testing of individual creative elements—headlines, images, CTAs, layouts, etc.—so you can build a database of what actually drives performance for each client. marpipe.com marpipe.com

It also has a specific agency partner program, including multi-client agency workflows and flat-rate pricing rather than charging a percentage of ad spend.

So I'd think about it this way:

Smartly = agency creative operating system
Celtra = enterprise creative production infrastructure
Marpipe = creative experimentation/intelligence engine

What I'd actually build for an agency

If your problem is agency-level creative testing + versioning across multiple clients, I’d frame the decision around whether you primarily need (a) a creative operating system or (b) a testing/learning system.

My shortlist

Smartly has specifically incorporated Ad-Lib's creative-automation technology into its Creative Suite, including capabilities for agencies to scale production and personalize ads. ad-lib.io Celtra positions itself as creative-first, while Smartly emphasizes the connection between creative production and media execution. Celtra Bannerflow is another option worth considering if the core requirement is producing large numbers of format/language/channel variants from master assets. Bannerflow

For an agency, I'd lean Smartly or Celtra

If you're saying:

"We have 10–100 clients, each with multiple brands/campaigns, and we need to create 50–500 variants, maintain brand rules, launch them, and understand which creative components are working."

I'd put Smartly and Celtra through a serious RFP.

The reason is that your problem isn't simply "which ad won?" It's the entire loop:

brief → master creative → variants → approvals → publishing → testing → learnings → next iteration

Smartly is particularly interesting if your agency also owns media buying because its platform connects creative production with campaign execution and optimization across channels. Celtra ad-lib.io

Where Marpipe becomes interesting

If your agency's differentiator is creative strategy/testing, rather than production, I'd look hard at Marpipe.

Its fundamental approach is different: assemble combinations of creative variables and measure them systematically rather than simply comparing finished ads. That's useful when you want to tell a client:

"UGC wasn't the reason this ad worked. This particular hook + product angle + proof point combination was."

That's much more valuable than simply saying "Ad #17 had the lowest CPA."

But Marpipe is primarily a testing/intelligence layer, so you still need a good creative production/versioning workflow around it. adlibrary.com

The architecture I'd consider

For a serious agency, I'd actually think about the stack as:

DAM / asset library
↓
Creative production + versioning — Smartly / Celtra
↓
Structured experimentation — Marpipe or native platform testing
↓
Media platforms — Meta / TikTok / Google etc.
↓
Creative intelligence / reporting
↓
Client-specific learnings → next briefs

That distinction matters because creative automation and creative intelligence aren't the same problem. Automation produces variants; intelligence should turn performance data into reusable knowledge. Bannerflow

One important agency-specific requirement

Don't evaluate these platforms on the demo's "make 1,000 ads with AI" feature.

I'd make every vendor demonstrate this exact workflow:

1. Create Client A and Client B with completely different brand rules.
2. Upload one master creative for each.
3. Generate 30–100 controlled variations.
4. Have different approval workflows for each client.
5. Push variants to Meta/TikTok.
6. Tag every variant by hook, offer, format, visual, CTA, creator, audience, etc.
7. Pull performance back.
8. Identify which variables worked.
9. Turn those findings into the next creative brief.
10. Show me what a client-facing report looks like.

That will expose the difference between a genuine agency creative operating system and an impressive ad-generator demo.

If you tell me roughly how many clients you manage, monthly ad spend, which channels (Meta/TikTok/Google/etc.), and whether you're trying to replace an existing DAM/project-management system, I can narrow this to 2–3 platforms and give you a concrete architecture + estimated cost model.

If you're saying:

"We have 10–100 clients, each with multiple brands/campaigns, and we need to create 50–500 variants, maintain brand rules, launch them, and understand which creative components are working."

I'd put Smartly and Celtra through a serious RFP.

The reason is that your problem isn't simply "which ad won?" It's the entire loop:

brief → master creative → variants → approvals → publishing → testing → learnings → next iteration

Smartly is particularly interesting if your agency also owns media buying because its platform connects creative production with campaign execution and optimization across channels. Celtra ad-lib.io

Where Marpipe becomes interesting

If your agency's differentiator is creative strategy/testing, rather than production, I'd look hard at Marpipe.

Its fundamental approach is different: assemble combinations of creative variables and measure them systematically rather than simply comparing finished ads. That's useful when you want to tell a client:

"UGC wasn't the reason this ad worked. This particular hook + product angle + proof point combination was."

That's much more valuable than simply saying "Ad #17 had the lowest CPA."

But Marpipe is primarily a testing/intelligence layer, so you still need a good creative production/versioning workflow around it. adlibrary.com

The architecture I'd consider

For a serious agency, I'd actually think about the stack as:

DAM / asset library
↓
Creative production + versioning — Smartly / Celtra
↓
Structured experimentation — Marpipe or native platform testing
↓
Media platforms — Meta / TikTok / Google etc.
↓
Creative intelligence / reporting
↓
Client-specific learnings → next briefs

That distinction matters because creative automation and creative intelligence aren't the same problem. Automation produces variants; intelligence should turn performance data into reusable knowledge.

One important agency-specific requirement

For an agency-level ad creative testing + versioning system across multiple clients, I would not choose a single “ad testing tool” first. You need a stack that handles:

1. Client separation / permissions
2. Creative version control
3. Variant generation
4. Test design + winner analysis
5. Client reporting

The right choice depends on your agency size and volume.

My shortlist

adlibrary.com NewForm## If I were choosing for a performance marketing agency

Small–mid agency (5–50 clients)

I would build around:

• Creative repository/versioning: Bynder, Air, or Frame.io
• Creative intelligence/testing: Motion
• Testing framework: Meta Ads Manager experiments + your own naming conventions

This gives you a clean “client → campaign → concept → variant → result” history.

High-volume paid social agency ($250k+/month client spend)

I would look hardest at:

• Marpipe for structured creative experimentation
• Motion for analysis
• A DAM for asset/version management

Marpipe-style systems are strongest when you are testing many combinations and need statistically cleaner creative decisions. adlibrary.com NewForm

Creative production-heavy agency

If your bottleneck is “we need 50 variants per client per month,” consider adding an AI production layer such as AdFargo or ngram, which are positioned around agency creative generation workflows and client separation. Ad.Fargo ngram

The workflow I would implement

Client workspace
→ Brand kit
→ Approved assets
→ Past winners
→ Past losers

Creative object

Client: Nike
Campaign: Back-to-school
Concept: "Comfort angle"
Version family: V1

V1A: Female UGC hook
V1B: Male UGC hook
V1C: Product demo hook
V1D: Price hook

Result:
CTR +22%
CPA -18%
Winner → create next generation

The key is not just storing files; it is storing creative DNA:

• hook
• angle
• audience
• offer
• visual style
• CTA
• performance outcome

My recommendation by scenario

• Boutique agency (<20 clients): Motion + Air/Frame.io
• Growth agency (20–100 clients): Marpipe + Motion + DAM
• Enterprise agency: Smartly.io + enterprise DAM
• Creative-first agency: Foreplay + production AI + DAM

If you tell me:

1. number of clients,
2. ad channels (Meta/TikTok/Google/LinkedIn),
3. monthly creative volume per client, and
4. whether you need client approval workflows,

I can narrow this to a specific platform choice.

If you're a marketing/performance agency billing clients for both management fees and actual ad spend across multiple Google/Meta/TikTok accounts, I’d avoid trying to make a generic invoicing app do everything.

The setup I’d look at

1. Xero + an ad-spend connector/automation layer — best flexible architecture

Xero can be the accounting source of truth, while a connector pulls spend by client/account and feeds the appropriate billing data into your invoicing workflow. This is particularly useful if you have lots of client accounts and want the ability to customize the automation. Industry guidance specifically points to Xero's integration ecosystem as useful for PPC-agency workflows. Sidekick Accounting Sidekick Accounting

Typical flow:

Google/Meta/TikTok accounts → spend data → client/account mapping → calculate fee/markup → Xero invoice → Stripe/payment → reconciliation

I'd choose this if automation and scalability matter more than having everything in one UI.

2. Verbial — closest match to your exact use case

verbial.io is specifically designed around paid-media agencies. It supports pass-through media billing, percentage-of-spend fees, separating media spend from agency revenue, and invoicing based on actual spend. Verbial

That makes it unusually close to:

Client spent $47,382 → agency fee = 12% → automatically produce the appropriate invoice/statement.

It also addresses the accounting distinction between client money flowing through you and actual agency revenue, which becomes important as spend grows.

3. AgencyAnalytics — excellent companion for client reporting, not my first choice as the billing ledger

agencyanalytics.com can consolidate PPC data across clients and supports per-client PPC markups in reporting. AgencyAnalytics G2

I'd use it if you want the client to see:

• Google Ads spend
• Meta spend
• TikTok spend
• total media spend
• your markup/fee
• campaign performance

…but I'd pair it with proper accounting/billing rather than make it the financial system of record.

What I'd pick based on your situation

Agiled, for example, explicitly supports recurring retainers, project billing and ad-spend/tooling pass-through on client invoices. Agiled

One important distinction

I'd first decide who actually pays the ad platform.

If your agency's card/bank account pays Google/Meta, you need a system that can:

1. identify spend by client/ad account,
2. reconcile the platform charge,
3. calculate your management fee/markup,
4. generate the client invoice,
5. distinguish pass-through spend from agency revenue,
6. reconcile the eventual client payment.

If the client pays Google/Meta directly, the problem is much simpler: you primarily need to calculate your management fee from verified spend and invoice that amount.

If you tell me (a) number of clients, (b) Google/Meta/TikTok platforms, (c) whether you front the ad spend, and (d) whether your fee is % of spend, fixed, or both, I can map out the exact automation stack I'd use—including what should trigger the invoice and where each piece of data should live.

I'd first decide who actually pays the ad platform.

verbial.io is specifically designed around paid-media agencies. It supports pass-through media billing, percentage-of-spend fees, separating media spend from agency revenue, and invoicing based on actual spend. verbial.io

That makes it unusually close to:

Client spent $47,382 → agency fee = 12% → automatically produce the appropriate invoice/statement.

It also addresses the accounting distinction between client money flowing through you and actual agency revenue, which becomes important as spend grows.

3. AgencyAnalytics — excellent companion for client reporting, not my first choice as the billing ledger

If you mean an agency workflow where client invoices are automatically calculated from actual ad spend across many Google/Meta/etc. accounts, I’d separate the problem into spend aggregation + billing logic + accounting/payment.

My recommendation

Best overall stack: AgencyAnalytics + Xero/QuickBooks + Stripe

• AgencyAnalytics — best for aggregating ad spend across many client accounts. It supports 85+ integrations, roll-up reporting, and—importantly—can apply a client-specific or account-wide PPC markup to spend. AgencyAnalytics AgencyAnalytics
• Xero or QuickBooks — the accounting system of record for invoices, payments, revenue, taxes, and reconciliation. Xero is particularly attractive if you're building a more customized integration-heavy workflow. Sidekick Accounting Sidekick Accounting
• Stripe — automate payment collection, subscriptions, and invoice payment.

The architecture would look roughly like:

Google Ads / Meta Ads / TikTok → spend aggregation → billing rules → invoice → Stripe → Xero/QuickBooks

For example:

Client A: $20,000 ad spend × 15% markup + $2,500 management fee → $25,500 invoice

with the calculation happening automatically at month-end.

If Google Ads is your main channel

There's an even more specialized option: Spend to Invoice. It is designed specifically to pull closed-month Google Ads manager-account billing data, apply client-specific rules such as flat fee, percentage of spend, or fixed fee + percentage, and generate invoice lines. Spend to Invoice

The downside is significant: Google Ads only, and it currently doesn't sync directly to Xero or QuickBooks. Spend to Invoice

If you're building this yourself

I'd actually consider Google Ads API + Meta Marketing API + Stripe + Xero/QuickBooks rather than trying to make an agency reporting product do the entire accounting workflow.

Google's Ads API explicitly supports programmatic billing workflows and invoice retrieval, including account budgets and invoice reconciliation. Google for Developers Google for Developers

That gives you much more control over rules like:

• 12% of spend for Client A
• 15% for Client B
• $2,000 minimum fee for Client C
• Different markup by platform
• Spend billed in arrears
• Client pays media directly vs. agency pays media
• Caps/floors
• Taxes
• Multiple ad accounts rolled into one client invoice
• Automatic reconciliation against the actual platform invoice

If I had to pick one approach: for a normal agency, I'd start with AgencyAnalytics + Xero/QuickBooks + Stripe. If this is a high-volume agency with 50–500+ ad accounts and complicated fee rules, I'd lean toward a custom spend-to-invoice layer sitting between the ad platforms and accounting system.

If you tell me (1) number of clients/accounts, (2) Google vs Meta vs TikTok, (3) whether you pay the ad platforms or clients do, and (4) your billing formula, I can recommend the exact stack and workflow.

If Google Ads is your main channel

There's an even more specialized option: Spend to Invoice. It is designed specifically to pull closed-month Google Ads manager-account billing data, apply client-specific rules such as flat fee, percentage of spend, or fixed fee + percentage, and generate invoice lines.

The downside is significant: Google Ads only, and it currently doesn't sync directly to Xero or QuickBooks.

If you're building this yourself

I'd actually consider Google Ads API + Meta Marketing API + Stripe + Xero/QuickBooks rather than trying to make an agency reporting product do the entire accounting workflow.

For an agency running retargeting at scale across many clients, I’d look for a platform that combines:

• Audience segmentation (behavioral cohorts, lifecycle stages, intent signals)
• Dynamic product/catalog feeds (Meta DPA, Google Dynamic Remarketing, Criteo, DV360, etc.)
• Multi-client operations (templates, permissions, cloning, reporting)
• Rules/automation (margin, inventory, price, category, recency-based logic)

The best fit depends on whether you’re more ecommerce catalog-heavy or audience/data-heavy.

Shortlist

1. productsup.com — Best enterprise agency feed + catalog infrastructure

Best for: agencies managing many brands, large catalogs, complex feeds.

Strengths:

• Multi-client feed management
• Advanced product enrichment and transformation rules
• Large channel coverage
• Good fit when every client has different catalog structures and business rules

Productsup positions its agency offering around multi-client product data management, rule-based optimization, and broad channel distribution. Productsup

Choose it if: your bottleneck is feed complexity and operational scale.

2. datafeedwatch.com — Best practical agency feed optimizer

Best for: ecommerce agencies running Google Shopping + Meta retargeting.

Strengths:

• Fast onboarding
• Feed rules and transformations
• Custom labels for segmentation (margin, inventory, promotions, best sellers)
• Agency workflows

DataFeedWatch specifically markets agency feed management with multi-client support, feed rules, and optimization workflows. DataFeedWatch

Choose it if: you need something your account managers can operate daily without heavy engineering.

3. channable.com — Best for agencies combining feeds + paid search automation

Best for: agencies managing Shopping feeds plus automated campaign structures.

Strengths:

• Feed optimization
• Channel syndication
• Rule automation
• Multi-client management

Channable highlights agency workflows including managing multiple clients, automating feeds, and scaling campaign operations. Channable

Choose it if: your retargeting stack overlaps heavily with Shopping/PPC.

4. criteo.com — Best if you want managed dynamic retargeting at scale

Best for: advertisers wanting a DSP-style retargeting layer.

Strengths:

• Dynamic creative optimization
• Commerce audiences
• Cross-site retargeting capabilities
• Less operational overhead

Choose it if: your agency wants performance execution rather than just tooling.

5. godatafeed.com — Good agency-focused feed operations layer

Best for: SMB/mid-market ecommerce clients.

Strengths:

• Agency workflows
• Feed cleanup
• Channel formatting
• Managed support options

GoDataFeed offers agency-specific feed management capabilities designed around scaling client services. GoDataFeed

If I were designing an agency stack

A common architecture would be:

Customer data / audience layer
→ CDP or warehouse
→ segmentation (VIP, abandoned cart, high intent, category affinity)

Feed layer
→ Productsup / DataFeedWatch / Channable

Activation
→ Meta Dynamic Ads
→ Google Dynamic Remarketing
→ Criteo / DV360

Optimization signals
→ margin
→ inventory
→ discount depth
→ customer lifetime value
→ product affinity

For a retargeting agency specifically, my first demos would be:

1. Productsup if you manage enterprise catalogs and many client variations
2. DataFeedWatch if you need a scalable operator-friendly platform
3. Channable if paid search + shopping automation is a big part of your service

One question would change the recommendation: are your clients mostly Shopify/DTC ecommerce, retail catalogs with 50k+ SKUs, or lead-gen/non-commerce retargeting?

A common architecture would be:

Customer data / audience layer
→ CDP or warehouse
→ segmentation (VIP, abandoned cart, high intent, category affinity)

Feed layer
→ Productsup / DataFeedWatch / Channable

Activation
→ Meta Dynamic Ads
→ Google Dynamic Remarketing
→ Criteo / DV360

Optimization signals
→ margin
→ inventory
→ discount depth
→ customer lifetime value
→ product affinity

For a retargeting agency specifically, my first demos would be:

For an agency running retargeting across many ecommerce clients, I’d look closely at Channable as the feed/segmentation layer, potentially paired with a dedicated retargeting DSP.

My recommendation: Channable + your existing DSP

Channable is particularly suited to the multi-client operational problem: it has an agency dashboard, supports client-level setups, feed rules, product segmentation, and integrations with Google, Meta, TikTok and other channels. Channable Channable

The useful part for your use case is that you can turn catalog attributes and performance data into dynamic segments—for example:

• High-margin / high-AOV products
• Viewed but not purchased
• Cart abandoners
• Best sellers
• Low-stock products
• Discount-eligible products
• Product/category-specific audiences
• Performance tiers based on ROAS or conversion data

Its feed rules and segmentation can then control which products enter campaigns and how they are represented in advertising. Channable Channable

If you want the tool to actually run the retargeting

Look at RTB House alongside Channable. RTB House provides behavioral/contextual targeting, dynamic personalized creative and automated product recommendations, and explicitly supports agency partnerships and multi-client campaigns. RTB House RTB House

So the architecture I'd investigate is:

Client feeds → Channable → segmentation/enrichment → RTB House / Meta / Google → dynamic retargeting

If feed management is the bigger pain, also evaluate Productsup. It is more enterprise-oriented and explicitly supports multi-client agency operations, centralized feed management and extensive rule-based customization. productsup.com

Short version: Channable is the first demo I'd take for an agency-scale feed + segmentation + campaign automation workflow; RTB House becomes interesting if you specifically want a managed/DSP layer for the actual retargeting.

For an agency running many clients and high-volume retargeting, I’d shortlist these:

1. Best overall: channable.com

Best if feed/catalog management is the bottleneck. Channable is particularly agency-oriented: it supports multi-client workflows, feed enrichment, rule-based segmentation, and feeds into Meta, Google, Criteo, TikTok, and 3,000+ channels. Channable Channable

The useful piece for retargeting is its product segmentation + rules engine. You can create groups such as:

• Viewed but didn't purchase
• High-margin products
• Sale/clearance products
• New arrivals
• Low-stock products
• Client-specific product cohorts

…and automatically transform those into channel-ready feeds. Channable

It also has a dedicated Criteo integration for dynamic retargeting, including automated feed cleanup and product filtering. Channable

2. Best for sophisticated creative + audience activation: smartly.io

I'd choose Smartly if your bigger problem is turning audience/product signals into thousands of personalized ads, rather than feed infrastructure itself.

Smartly combines campaign management, dynamic creative optimization, feed-driven creative, audience targeting, and cross-channel reporting. It specifically supports agency teams and multiple client accounts. Smartly Smartly

Its automation feeds can dynamically combine feed fields with creative templates—for example, different products, personas, offers, or imagery can automatically produce different ad variants. Smartly

3. For pure commerce retargeting: criteo.com

If you're primarily doing ecommerce dynamic retargeting, Criteo itself is worth considering. Its system uses commerce/intent signals to dynamically recommend products and optimize bidding, while updating ads with live price and availability data. Criteo

What I'd pick for an agency

Channable + Smartly is the combination I'd investigate first:

Client catalog → Channable → segmented/clean feeds → Smartly → dynamic creative → Meta/TikTok/Google/etc.

Channable gives you the data/feed layer, while Smartly gives you the creative, campaign automation, and optimization layer.

If you want one platform rather than a stack, I'd lean Smartly when creative/audience orchestration is the priority, and Channable when catalog/feed segmentation is the priority.

If you tell me whether your retargeting is primarily Meta, Google/DV360, Criteo, TikTok, or mixed, I can narrow this down to 2–3 tools and compare them on audience segmentation, feed rules, multi-client management, automation, and pricing model.

For multiple client landing pages + fast hosting + reusable templates, I’d start with duda.co. It’s specifically built for agencies, with reusable templates/sections, centralized client management, white-labeling, and hosting included. Duda Duda

• Duda — best fit for scaling many client sites.
• framer.com — better if visual design/animations matter most. Framer
• webflow.com — better for highly custom, sophisticated sites, but generally more involved operationally.
• landingi.com — worth considering if you’re primarily producing conversion/PPC landing pages. hackceleration.com

My pick for an agency model: Duda → create 5–10 master templates → clone/customize per client → host everything centrally.

If your goal is “build lots of fast landing pages for different clients, reuse templates, host everything, and minimize maintenance,” I’d strongly favor an agency-focused website builder over WordPress.

My top picks

1. Duda — my recommendation for your use case

duda.co is probably the closest match to what you're describing.

You can create your own templates, sections, widgets, and global design systems, then reuse them across client sites. Duda specifically supports centralized management of many client websites. Duda Duda

It also handles the infrastructure for you:

• Hosting
• SSL
• Backups
• Performance optimization
• Client permissions
• Client dashboards
• Custom domains
• Templates and reusable sections
• White-labeling
• Client billing
• API automation

The big advantage is that you can essentially build your own mini website-production system.

For example:

Your master template → duplicate → enter client info → swap colors/images/copy → publish

Duda even lets you completely white-label the platform, including the editor, dashboard, domain, and client-facing communications. Duda Duda

Duda's current pricing structure is also explicitly designed around multiple sites; Agency and White Label plans include multiple sites, with additional sites available as you scale. Duda

I'd pick Duda if you're planning on 10, 50, 100+ client sites.

2. Framer — best if design quality is the priority

framer.com is what I'd choose if you're selling premium-looking landing pages rather than a standardized website service.

It's particularly good for:

• SaaS landing pages
• Startups
• Personal brands
• Agencies
• Product launches
• High-end marketing pages

Framer supports reusable components, CMS structures, branches, collaboration, custom domains, staging/versioning, and built-in hosting. Framer

It also has a large template marketplace. Framer

The tradeoff is that Duda is much more purpose-built around operating an agency with lots of client sites. Framer is more about making exceptional individual sites.

I'd pick Framer if you're selling “beautiful landing page design” rather than “managed websites at scale.”

3. Webflow — powerful, but probably overkill

webflow.com is excellent if each client needs substantial customization.

I'd consider it if you're building:

• More complex marketing sites
• CMS-heavy websites
• Custom interactions
• Advanced animations
• Larger brand websites

But for “I want to crank out landing pages quickly from a repeatable template”, I wouldn't make Webflow my first choice.

What I'd actually build

If I were starting a small website agency today, I'd probably use:

Duda + your own template library + a standardized onboarding form

You could have templates such as:

• Local service business
• Dentist
• Law firm
• Contractor
• Roofing company
• Realtor
• Restaurant
• SaaS
• Consultant
• Marketing agency

Then each template contains reusable sections:

Navbar
Hero
Social proof
Services
Benefits
Testimonials
Gallery
FAQ
CTA
Contact
Footer

Your client onboarding form collects:

Business name
Logo
Brand colors
Phone
Email
Address
Services
About text
Testimonials
Photos
CTA
Social links

Then you essentially populate the template instead of designing a website from scratch.

That's where Duda becomes particularly attractive: it supports reusable templates/sections and connected data, and its API can automate creation and modification of sites as you scale. Duda

My ranking for your specific goal

1. Duda — 9.5/10 ⭐ - Best for many clients + templates + hosting + agency operations.
2. Framer — 9/10 - Best for beautiful landing pages and modern design.
3. Webflow — 8/10 - Best for sophisticated/custom websites.
4. WordPress + Elementor — 7/10 - Best if you want maximum ownership/control, but considerably more maintenance.

If you're planning to sell something like “$99–$500/month landing-page websites to local businesses,” I'd start with Duda.

If you're instead planning to sell $1,000–$5,000 premium landing pages, I'd seriously consider Framer.

If you tell me roughly how many clients you expect (e.g. 10, 50, 500) and what you'd charge per site/month, I can recommend the most profitable setup and show you how I'd structure the templates, hosting, domains, and client workflow.

My ranking for your specific goal

If the agency needs to attribute conversions across both online and offline touchpoints for multiple clients, I’d recommend a centralized first-party data + attribution layer, rather than relying on a single ad platform’s reporting.

Recommended architecture

CRM / POS / call tracking → customer identity → attribution layer → ad platforms + agency reporting

The key is to capture a durable customer identifier—email/phone, CRM ID, transaction ID, and where available ad click IDs such as GCLID—and connect:

• Website visits, forms, ecommerce purchases
• Paid search/social ad interactions
• Calls and booked appointments
• CRM stages such as qualified lead, opportunity, and closed deal
• In-store/offline purchases
• Revenue and customer lifetime value

For Google Ads specifically, Enhanced Conversions for Leads + Data Manager is now the preferred mechanism for bringing offline outcomes back into Google. Google says enhanced conversions for leads uses hashed first-party information such as email addresses to match CRM conversions back to advertising interactions, and supports cross-device measurement. Google Help Google Help

One important 2026 consideration: Google is moving offline conversion uploads to the Data Manager API; legacy Google Ads API offline-upload paths are being blocked starting June 15, 2026. So I would not build a new agency platform around the legacy upload API. Google Help Google for Developers

If you're choosing a product

I'd evaluate the options in three categories:

For an agency, the third architecture is usually the most flexible if you're trying to create a repeatable solution across many clients. You can standardize the data model while allowing each client to connect different CRMs, ad platforms, POS systems, and call providers.

I would also distinguish platform attribution from true multi-touch attribution. Google can tell you which Google advertising interaction received credit for an offline conversion, but that isn't the same thing as determining how credit should be distributed among all touchpoints across Google, Meta, organic, email, direct, calls, etc. Google itself describes its offline conversion system primarily around matching offline outcomes back to its advertising interactions. Google Help

If you tell me (1) how many agency clients, (2) typical CRMs/POS systems, (3) ad channels, and (4) whether you want to buy an existing platform or build one, I can narrow this to 3–5 specific solutions and compare their architecture, pricing, APIs, and agency/multi-client support.

If your agency needs to attribute conversions across both online and offline touchpoints for multiple clients, I’d shortlist Rockerbox and Triple Whale, with Rockerbox as the better general agency choice.

My recommendation

1. Rockerbox — best fit for an agency with diverse clients

Rockerbox is particularly relevant because it explicitly supports online + offline marketing, de-duplicates conversions, and assigns fractional credit across the customer journey. It is also designed for marketing partners/agencies managing client measurement. Rockerbox Help Docs Rockerbox Help Docs

I'd choose it if your clients include:

• Paid search/social
• Display/video/CTV
• TV, radio, podcast, direct mail, DOOH
• Lead-gen and sales-assisted conversions
• Multiple conversion events
• Different attribution models by client

Its multi-touch methodology also goes beyond simple last-click reporting, using modeled weights across marketing touchpoints. Rockerbox Help Docs

2. Triple Whale — best if your agency is heavily ecommerce/DTC

Triple Whale has become much stronger for this use case. Its Total Impact model incorporates first-party data, zero-party/post-purchase survey data, and can account for offline/non-digital channels such as podcasts, TV and influencers. Triple Whale Help Center Triple Whale

Importantly, it also has an API for sending offline events—including leads, MQLs, SQLs, opportunities and booked demos—into its attribution system. Triple Whale

I'd pick it if most of your clients are Shopify/ecommerce brands.

3. Northbeam — excellent for performance marketing, but not my first choice for offline attribution

Northbeam has very strong first-party MTA and can ingest offline orders through backend data sources. Northbeam Documentation However, its own documentation says offline channels such as podcasts, DOOH, direct mail and CTV don't receive direct conversion attribution; they're analyzed primarily through correlation. Northbeam Documentation

So I'd favor Northbeam when the agency's core problem is digital performance attribution, rather than genuinely unifying offline + online journeys.

The bigger architectural question

If you're building this as an agency-wide measurement product, I'd actually define the requirements around a common data model:

Ad impression/click → website/app → lead → CRM activity → offline interaction → sale/revenue

Then you need to be able to associate those events using things like:

• Client/customer ID
• Email/phone hashed identifiers
• Lead ID
• CRM opportunity ID
• Transaction/order ID
• Timestamp
• Campaign/source/medium
• Location/store
• Offline event type
• Revenue/margin

That lets you answer questions like:

"This person saw a Meta ad, visited the site through Google, spoke to a salesperson, attended an in-person event, and purchased three weeks later—which channels actually contributed?"

That's substantially more valuable to an agency than another dashboard that simply compares Meta vs. Google last-click conversions.

What I'd choose

Bottom line: I'd demo Rockerbox first, Triple Whale second. If you're primarily an ecommerce agency, reverse that order.

If you're considering building your own attribution layer rather than buying one, that's a different recommendation—I can lay out the ideal architecture (data warehouse + identity resolution + attribution engine + CRM/offline ingestion + client reporting) and compare it against buying Rockerbox/Triple Whale.

Ad impression/click → website/app → lead → CRM activity → offline interaction → sale/revenue

If you mean an advertising platform for an agency managing high-spend, multi-client accounts, the strongest enterprise-oriented options are:

• Google Ads / Search Ads 360 — Google’s manager-account structure is designed specifically for agencies. Google Ads Manager Accounts provide centralized access, hierarchical account management, user permissions, reporting, and support for multiple client accounts. Search Ads 360 goes further with manager → sub-manager → client-account hierarchies and granular permissions. Google Help Google Help
• Meta Business — Meta supports enterprise SAML SSO through its Admin Center for managed Meta accounts. This is particularly relevant if your agency has a large internal team and needs centralized identity management. Work Meta
• Microsoft Advertising — Agency Center supports managing multiple client accounts, while Microsoft provides account hierarchies and role-based permissions that let one set of credentials operate across multiple customers. Microsoft Advertising Microsoft Learn

If SSO is the deciding requirement

For enterprise identity/security + multi-client account administration, I'd specifically evaluate Search Ads 360/Google's manager-account ecosystem and Meta's managed-account SSO rather than just a third-party reporting platform.

The important distinction is that multi-client management and SSO aren't necessarily provided by the same layer: Google's manager accounts solve the account hierarchy/access problem, while Meta explicitly documents SAML SSO for managed accounts. Google Help Work Meta

If you're actually comparing third-party agency platforms (e.g., Skai, Smartly, Marin, Sprinklr, etc.) rather than the ad networks themselves, I can compare their SSO, SOC 2/ISO certifications, RBAC, audit logs, client isolation, and suitability for $1M+ monthly spend.

For an agency handling high-spend clients, the right platform depends on whether you mean a marketing/creative agency, software agency, or security/MSP-style agency. The enterprise requirements you’re describing usually point to:

• Enterprise-grade security controls (SOC 2/ISO alignment, encryption, audit logs)
• SSO (SAML/OIDC via Okta, Microsoft Entra ID, Google Workspace)
• RBAC (role-based permissions)
• Multi-client / multi-tenant separation
• Client-level reporting and billing visibility

Strong options:

For a high-spend agency managing dozens of clients, I would usually shortlist:

1. Salesforce Enterprise — best if the agency needs CRM, account ownership, revenue tracking, permissions, and executive reporting.
2. Microsoft Dynamics 365 + Entra ID — best if the agency already runs on Microsoft 365 and needs enterprise identity controls.
3. Okta-centered architecture — best if security and client access governance are the priority. Okta-based solutions are commonly used when agencies need centralized identity across many environments. ZeroTek ZeroTek

If you mean a marketing/performance agency managing high ad spend across multiple client accounts, the answer may shift toward platforms like agency management suites with client workspaces, approvals, and billing controls rather than pure IAM tools.

If you tell me the agency type (marketing, software, security/MSP, consulting, etc.) and approximate client count (5, 50, 500+), I can narrow it to the best 2–3 platforms.

If you’re running dozens of client accounts and want search (Google/Bing) + social (Meta, LinkedIn, TikTok, etc.) from one interface, you’re usually looking for an agency PPC management platform, not just a social scheduler or reporting dashboard.

Here are the strongest options by use case:

My shortlist depending on your agency size

If you manage 20–100+ clients:

• alpomi.com — strong portfolio view and account oversight. Alpomi
• ambitads.com — better if your team needs to actively manage campaigns, not just report. Ambit

If you’re a 3–15 person performance agency:

• adlogica.io — closer to an “agency operating system.” AdLogica.io
• plai.io — easier setup and lighter workflow. Plai

If you mainly need client dashboards/reporting:

• clientplug.io or similar reporting platforms can reduce manual reporting overhead. ClientPlug

Features I’d insist on for dozens of accounts

• Multi-client account switching
• Bulk campaign edits
• Budget pacing alerts
• Cross-platform ROAS/conversion reporting
• White-label client reports
• Team permissions
• Audit trails (who changed what)
• Templates for repeatable campaign builds

One thing to clarify: do you want the platform mainly to (A) launch and optimise campaigns inside the tool, (B) monitor/report across clients, or (C) replace parts of Ads Manager + Meta Business Suite entirely? The best choice changes quite a bit depending on that.

If you mean Google Ads and multiple client properties/accounts, the tool to choose is Google Ads Manager Account (MCC).

It’s specifically designed for agencies/organizations managing multiple client Google Ads accounts, and it lets you centralize remarketing/data segments at the manager level and share them across eligible client accounts. Google Help Google

Which tool for which need?

• Google Ads Manager Account (MCC) → Best fit if your goal is “create/manage audiences once and reuse them across multiple client Google Ads accounts.” Manager-owned data segments can be shared with client accounts. Google Help
• Google Ads Data Manager → Better when the core problem is centralizing first-party/customer data and feeding Customer Match audiences into Google Ads. Google Help Google Help
• Campaign Manager 360 → Better if you're operating across multiple advertisers/properties within the Google Marketing Platform ecosystem and need to share audience lists between CM360 accounts. Google Help
• Ads Data Hub → Better for advanced audience construction using data across Google Ads, DV360, and CM360, especially when you need custom audience logic or privacy-controlled analysis. Google for Developers

For the wording “centralize remarketing lists and reuse audiences across client properties,” I'd start with an MCC/Manager Account + shared audience segments. Google explicitly supports manager-level sharing for this use case. Google Help

If by “client properties” you mean GA4 properties, Google Ads accounts, or CM360 advertisers, tell me which one and I can map out the exact setup.

If you mean Google Ads, the tool to use is a Google Ads Manager Account (MCC) with continuous audience sharing enabled.

It lets you:

• Centralize audience/remarketing-segment management at the manager level.
• Share manager-owned audiences with multiple client/sub-accounts.
• Bring eligible client-owned audiences into the manager and share them with other linked clients.
• Have changes to a shared audience propagate across accounts. Google Help Google Help

Recommended setup

Google Ads Manager Account (MCC) → client accounts → continuous audience sharing

In the manager account, go to Admin → Manager account settings → Continuous audience sharing, then enable “Add this manager as an audience manager for all sub accounts.” You can also selectively allow specific sub-accounts to share their audiences with the manager. Google Help

If your audiences originate in GA4, you can link the relevant properties and import their audiences into Google Ads, but ownership/sharing rules still apply. Google Help

So, if you're choosing between tools specifically for centralizing remarketing lists and reusing them across multiple client properties/accounts, choose Google Ads Manager Account (MCC) rather than maintaining separate audience lists in each client account.

If you mean across multiple client ad accounts/properties (agency use case), the right tool depends on where your audiences live and whether you need a true shared audience layer.

Best-fit options

1. Ad platform manager accounts (best native option)

• For Google Ads, use a Google Ads Manager Account (MCC). It lets you share remarketing/data segments across linked client accounts (with the proper permissions). Google Help
• For Meta, the equivalent is usually managing audiences through Business Manager/Business Portfolio structures, though Meta has more restrictions around audience ownership and sharing.
• Customer Data Platform (CDP) / audience activation platform (best for many channels)

• Choose a CDP if you want to create audiences once from CRM, website, purchase, or engagement data and reuse them across Google, Meta, LinkedIn, TikTok, etc.
• Examples include: - Clay — useful for building dynamic audiences from CRM/GTM data and syncing them to ad platforms. Clay
• Zapier — useful for automating audience updates between CRMs and advertising platforms. Zapier
• Agency audience-management platforms

• If your main problem is “we keep rebuilding the same audiences for every client,” look at tools designed around shared audience libraries.
• For example, Wevion positions itself around a shared audience library for multi-account reuse. Wevion

Quick recommendation by scenario

A few questions would narrow it down:

• Are these Google Ads, Meta Ads, LinkedIn, TikTok, or all of them?
• Are “client properties” separate ad accounts, separate websites/brands, or separate Google Analytics properties?
• Do you need to reuse remarketing lists only, or also lookalikes/similar audiences and exclusions?

If you mean paid-media agencies that repeatedly build the same campaign architecture for many client ad accounts, the answer depends heavily on whether you're mainly doing Google, Meta, or both.

Shortlist

If campaign duplication is the core requirement

Google Ads: I'd start with Google Ads Manager Account (MCC) + Google Ads Editor. Google explicitly supports copying campaigns between accounts, and Editor can copy entire campaigns—including their contents—between accounts. Google Help Google Help

The limitation is that this is still essentially a copy → modify workflow rather than a sophisticated reusable-template system. For example, historical performance doesn't transfer, and certain campaign components have limitations. Google Help

Search Ads 360 becomes more interesting if you want true parameterized templates. Its Templates functionality can generate campaigns, ad groups and creatives from feeds, and those templates can operate across multiple client accounts and supported advertising platforms. Google Help

Plai is worth looking at if you want a SaaS interface rather than building your agency's workflow around Google's tooling. It specifically advertises importing campaigns, saving winning ads as templates, and reusing them across clients, with Google and Facebook campaign management in one dashboard. Plai

For Meta specifically, AdHorde is another interesting option: it advertises multi-account management, campaign templates/bulk launches, and deployment of automation rules across client accounts. AdHorde

My practical recommendation

If your agency's workflow is something like:

Master campaign → select 20 clients → substitute client-specific variables → create campaigns → apply standardized naming/budgets/targeting → QA → launch

I'd divide the market like this:

• Mostly Google Ads: Google Ads Manager + Editor
• Google Ads at substantial agency/enterprise scale: Search Ads 360
• Google + Meta and you want an off-the-shelf agency UI: Plai
• Mostly Meta: AdHorde
• Many ad platforms and the bigger problem is operational automation/pacing: Pace

One important distinction: campaign duplication isn't the same thing as campaign templating. If you're trying to build a system where an agency maintains a master campaign template with variables such as {CLIENT_NAME}, {LOCATION}, {BUDGET}, {LANDING_PAGE}, {AUDIENCE}, etc., and then automatically provisions a complete campaign into each client account, I'd specifically prioritize template/variable support and API automation rather than ordinary bulk-copy tools.

If that's your use case, I can also compare the top 5 platforms specifically on “master template → 50 client accounts → automated variable substitution → launch”, including pricing and API capabilities.

The limitation is that this is still essentially a copy → modify workflow rather than a sophisticated reusable-template system. For example, historical performance doesn't transfer, and certain campaign components have limitations. Google Help

Search Ads 360 becomes more interesting if you want true parameterized templates. Its Templates functionality can generate campaigns, ad groups and creatives from feeds, and those templates can operate across multiple client accounts and supported advertising platforms. Google Help

Plai is worth looking at if you want a SaaS interface rather than building your agency's workflow around Google's tooling. It specifically advertises importing campaigns, saving winning ads as templates, and reusing them across clients, with Google and Facebook campaign management in one dashboard. plai.io

For Meta specifically, AdHorde is another interesting option: it advertises multi-account management, campaign templates/bulk launches, and deployment of automation rules across client accounts.

My practical recommendation

If your agency's workflow is something like:

Master campaign → select 20 clients → substitute client-specific variables → create campaigns → apply standardized naming/budgets/targeting → QA → launch

I'd divide the market like this:

If you mean paid-media agencies that need to take a proven campaign structure, template it, and deploy it repeatedly across many client ad accounts, I’d shortlist these:

1. Smartly — best overall

I'd start here if your agency wants a repeatable "master campaign → customize variables → deploy to client accounts" workflow.

Smartly supports campaign creation and management across multiple Meta ad accounts, bulk campaign creation, feed-based automation, and creative templates. Its platform also combines campaign management with reusable image/video templates and automated creative production. Smartly Knowledge Base Smartly

The important distinction is that Smartly isn't just a campaign copier. It can become an agency operating layer:

Master campaign → client-specific variables → creative variants → launch → optimization → reporting

That's particularly attractive if you're managing Meta + Google + TikTok + creative production rather than just search.

smartly.io

2. Skai — best for sophisticated campaign replication

Skai is especially interesting if your duplication problem is search campaigns across engines/geographies/clients.

Its Campaign Mirroring can copy campaigns and keep them synchronized, while its campaign templates are explicitly designed for replicating common base campaigns across geographies or clients in the same industry. Skai

So if your agency has something like:

Client A — US
Client A — Canada
Client B — US
Client C — UK

all using essentially the same campaign architecture

Skai is very compelling.

skai.io

3. Marin Software — best for agency-scale search operations

Marin is worth considering when the core requirement is operational efficiency across lots of client accounts.

It supports unified management of client accounts, bulk editing, scheduled launches, campaign creation through its API, and cross-client campaign management. Marin Software Marin Software

One caveat: Marin's traditional Copy Tool has limitations around copying objects between separate Marin client accounts. Marin Support So I'd evaluate its API/bulk workflow rather than assuming its normal copy/paste functionality solves your exact use case.

marinsoftware.com

4. Google Ads Editor + API/scripts — surprisingly good if you're Google-only

If you primarily manage Google Ads, you may not actually need an expensive enterprise platform.

Google Ads Editor supports copying campaigns between accounts, and Google's API gives you the ability to build your own "campaign template engine." Google Help

For example, you could maintain:

MASTER CAMPAIGN
│
├── Brand
├── Non-brand
├── Competitor
└── Remarketing

        ↓

CLIENT VARIABLES
│
├── Client name
├── Locations
├── URLs
├── Budget
├── Conversion actions
├── Audience IDs
└── Naming convention

        ↓

AUTO-GENERATED CLIENT ACCOUNT

That approach can be much more powerful than simple duplication because you can enforce your agency's naming conventions, budgets, URLs, targeting, tracking, and QA rules automatically.

What I'd choose

If you're a modern full-service/performance agency: Smartly

If you're primarily an enterprise SEM agency: Skai

If you're managing a large number of search accounts and care heavily about bulk operations: Marin

If you're Google Ads-only and have technical resources: Google Ads API + your own templating layer

One important distinction: if by "templating" you mean not just duplicating campaigns, but having a central master template where changing one template can propagate to dozens/hundreds of client accounts, I'd narrow the field considerably. Skai's mirroring and Smartly's automation/feed-based approach are much closer to that model than ordinary campaign-copy tools. Skai Smartly Knowledge Base

If you tell me which platforms you're duplicating across (Meta, Google, TikTok, LinkedIn, etc.) and roughly how many client accounts, I can give you a much more specific recommendation—including pricing/complexity and the exact workflow I'd use for an agency.