We Audited 12 Marketing Agencies' Reporting Stacks. Here's What Costs Them the Most Time.
Most agency stacks accumulate by accretion: a tool added in 2023, another in 2024, an integration in 2025, and now nobody fully remembers why they're paying for any of it. Over six months we sat down with 12 agencies — ranging from 5-client boutiques to 50-client mid-size shops — and audited their reporting stacks. Same questions for each: which tools they pay for, which they actually use, and where their analyst hours actually go. Here's the honest aggregate.
Founder of 1ClickReport. 10+ years building analytics tools and growth systems for SaaS, ecommerce, and B2B brands.
Table of Contents
The 12 agencies (anonymized profiles)
Range: 5 to 50 active clients. Geographic mix: US (5), UK (2), Australia (2), India (1), UAE (1), Slovakia (1). Service mix: paid-media-only, full-funnel, SEO-heavy, lifecycle-marketing, performance-creative shops.
What they have in common: each runs at least 8 of the following tools at any time:
- Google Ads, Meta Ads (givens)
- GA4, Google Search Console (givens)
- A reporting layer: AgencyAnalytics, Whatagraph, Databox, DashThis, Klipfolio, or Looker Studio
- A connector layer: Supermetrics, Funnel.io, or Porter Metrics
- A CRM: HubSpot, Pipedrive, or Salesforce
- A project tool: Notion, Asana, or ClickUp
- A communication tool: Slack
- An attribution layer (some): Hyros, Triple Whale, Northbeam
Where the analyst hours actually go
We asked each agency to estimate how their reporting/analytics team spends 100% of weekly hours. Aggregate breakdown across 12 agencies:
| Activity | Average % of week | What it looks like in practice |
|---|---|---|
| Pulling + assembling data from multiple platforms | 34% | Logging into 5-8 platforms per client, exporting, copy-pasting into a template |
| Building/maintaining client dashboards | 22% | AgencyAnalytics, Databox, Looker tweaks; templates breaking when platforms change APIs |
| Writing executive summaries from the data | 18% | "What changed this week, why, what we recommend" |
| Cross-client portfolio reviews | 11% | "Which 3 clients need urgent attention this week?" |
| Actual strategic analysis | 9% | The work that justifies the agency's fee |
| Tool/integration troubleshooting | 6% | "Supermetrics broke again", "the AgencyAnalytics connector keeps failing" |
Add the first two rows: 56% of analyst time on data plumbing. The thing clients pay you for — strategic thinking — is 9% of the week.
This is the consensus pattern across every agency we audited. The largest (50 clients) had it even worse — the analyst spent 70% of the week on plumbing, 5% on strategy. They're hiring more analysts and the ratio is getting worse, not better, because complexity scales faster than headcount.
Tool costs vs actual usage
Same agencies, their stated monthly tool spend vs what they actually use:
| Tool | Avg monthly cost | "Use it daily" rate | "Considering canceling" rate |
|---|---|---|---|
| Supermetrics | $129 | 67% | 42% considering swap |
| AgencyAnalytics | $199 | 75% (client-facing) | 17% |
| Whatagraph | $299 | 50% | 50% |
| Databox | $129 | 33% | 67% considering swap |
| Looker Studio (paid connectors) | $0-50 | 83% | 0% |
| Funnel.io | $400+ | 25% | 75% considering downgrade |
| Hyros / Triple Whale / Northbeam | $200-500 | varies wildly | varies wildly |
Two patterns:
- Looker Studio dominates "use daily" with the lowest cost. Despite its UX problems, it's the most-used tool across these agencies. Free + flexible beats paid + polished.
- Expensive enterprise tools (Funnel.io, Whatagraph) have the highest "considering canceling" rate. Once an agency feels comfortable doing the work without them, the renewal becomes painful.
What MCP changes in this picture
We ran a follow-up with 4 of the 12 agencies who had added an MCP layer (1ClickReport, mostly) to their stack. The redistribution of analyst hours after 30-60 days of MCP usage:
| Activity | Pre-MCP % | Post-MCP % |
|---|---|---|
| Data plumbing | 34% | 11% |
| Dashboard maintenance | 22% | 20% (unchanged — dashboards still exist) |
| Executive summaries | 18% | 8% (AI drafts) |
| Portfolio reviews | 11% | 4% (Claude queries) |
| Strategic analysis | 9% | 49% |
| Tool troubleshooting | 6% | 8% (new MCP setup overhead) |
The headline: strategic analysis time goes from 9% to 49% of the week — a 5x increase in the work clients actually pay for. The redistribution comes mostly from data plumbing (34% → 11%) and executive summary writing (18% → 8%).
Dashboard maintenance stays roughly the same because dashboards still exist for clients who want to log in and look at numbers. MCP didn't kill dashboards — it killed the analyst-side workflow around them.
What we'd recommend (sample stacks by agency size)
5-15 clients (boutique)
- Keep: Looker Studio (free, flexible client dashboards), Google Ads, Meta Ads, GA4, Search Console
- Add: An MCP layer ($25/mo) for analyst-side queries
- Skip: Supermetrics, AgencyAnalytics, Databox unless you have a specific client demand
- Total stack cost: $25-50/mo
15-30 clients (mid-size)
- Keep: Above + AgencyAnalytics ($79-199/mo) for white-label client logins
- Add: MCP layer for analyst queries
- Optional: Funnel.io if you have one client with complex data pipeline needs (skip otherwise)
- Total stack cost: $100-225/mo
30-50+ clients (full agency)
- Keep: Above + per-team-member access to MCP, possibly Whatagraph for the highest-value client reports
- Consider: Funnel.io if you're doing custom client data warehouses; skip if you're not
- Skip: Multiple overlapping reporting tools (pick one client-facing reporter, not three)
- Total stack cost: $250-700/mo
Frequently Asked Questions
Is AgencyAnalytics worth it for a small agency?
Below 10 clients: not really — Looker Studio gives you the same dashboards for free with more flexibility. Above 10 clients with regular client logins: yes, the white-label and ease of multi-client management justify it.
Should I cancel Supermetrics if I get an MCP?
For most agencies, yes — MCP servers like 1ClickReport replace the data-connector function Supermetrics provides at a fraction of the cost. Keep Supermetrics if you have legacy Looker dashboards that depend on it and migration cost is high.
What's the biggest waste in most agency stacks?
Paying for two tools that do similar things. Most agencies have both a connector tool (Supermetrics) AND a reporting tool (AgencyAnalytics) that includes connectors. Pick one architecture or the other.
How long does the MCP transition take?
1-2 weeks for the team to get comfortable. The first week is awkward because old habits (logging into platforms) die hard. By week 3, most analysts are asking Claude first and only opening platform UIs when they need to take action.
Will Funnel.io clients still need their pipeline?
Sometimes. Funnel.io's value is in standardising heterogeneous data into a warehouse. MCP doesn't replace that — MCP queries live data from native APIs. If you have one or two clients that genuinely need a warehouse, keep Funnel.io for them. Don't pay for it across all clients.
What about the 56% of analyst time on plumbing — is that universal?
Yes, across all 12 agencies we audited. The exact percentage varies (some agencies are at 65%, others at 45%) but every agency had more than half of analyst time on data assembly, not analysis. This is the largest hidden cost in agency operations.