
The Truth About Agency Reporting Platforms: Paying $300+ Per Client for Reports Nobody Reads
Deep dive • Benchmarks, calculators & templates inside
The Truth About Agency Reporting Platforms
Quick Answer
Agencies routinely spend $300–$700 per client per month on reporting once you include platform fees, data connectors, and the hours required to build, QA, and explain dashboards. Meanwhile, BI/reporting adoption hovers around ~26% in organisations—so many multi-tab dashboards go barely skimmed. The fix: adopt summary‑first reporting (a 1–2 page narrative with 3–5 KPIs, a simple ROI table, and next steps), then keep deep dashboards as optional appendices.
Reporting platforms promise automation and executive polish. But the economics can quietly erode margin: every connector, refresh limit, and troubleshooting hour compounds your true cost‑to‑serve. This article breaks down the real numbers, why clients disengage, and a pragmatic reporting model that gets read, remembered, and acted on—without paying for glitter your clients never open.
1) Reporting landscape & pricing reality
The “headline” SaaS price rarely equals your per‑client cost. Connectors, refresh frequency, user seats, and ad‑hoc fixes drive the real bill.
Platform | Pricing model | Published price (examples) | Per‑client reality in agencies |
---|---|---|---|
DashThis | Dashboards (often 1 per client) | $149/mo ≈ 10 dashboards; site notes most users create one dashboard per client | ~$15/client at small scale; doubles if you need multiple dashboard views per brand |
Databox | Tiered (Professional/Growth/Premium) | $159–$799/mo; free plan sunset July 2025 | Agencies typically land $40–$100/client after limits & add‑ons |
Klipfolio | Edition‑based | Commonly $90–$350/mo | SSO/dedicated options can push total to $500+ before connectors |
AgencyAnalytics | Per client/campaign | Often cited $12–$24/client; entry plans from ≈$59–$79/mo | At 20–30 clients, expect $500–$900/mo base + add‑ons |
Connectors: Supermetrics | Per destination & connector limits | From ≈$29–$49+/mo for Looker Studio/Sheets | 5–7 connectors quickly equals $200–$350/mo |
Connectors: Porter | By # of accounts | ≈$8–$15 per account at volume | Budget‑friendly; still adds $80–$150/mo for 10–15 accounts |
Data pipelines: Fivetran | Usage‑based (Monthly Active Rows) | Free tier to 500k MAR; paid tiers scale with volume | Costs escalate fast for multi‑connector setups with frequent updates |
2) The adoption gap: why reports aren’t read
Inside client organisations, BI/reporting adoption averages ~26%. That means most stakeholders never log into dashboards—and the ones who do often skim for a single KPI and bounce. Agencies also report that monthly is the norm for sending reports, yet engagement remains mixed.
Reporting habit | Observed benchmark | Implication |
---|---|---|
Cadence | Monthly is most common | Consistency beats frequency; add a quarterly strategy layer |
Login behaviour | ~¼ of users adopt BI tools | Don’t assume dashboards are “self‑serve”—summaries win |
Open behaviour | Short summaries get higher opens | Lead with narrative, not widgets |
Focus your energy on making a one‑screen summary unmissable; treat dashboards as reference material.
3) The anatomy of $300–$700 per‑client TCO
“We pay $149/mo, so reporting costs us $15/client.” That’s the myth. Here’s the reality once you include connectors and people-time.
Cost driver | Typical monthly spend | Per client @ 20 clients | Notes |
---|---|---|---|
Platform licenses | $600 | $30 | Dashboards, users, white‑labelling |
Data connectors | $400 | $20 | Supermetrics/Porter/others across sources |
Staff time (3 hrs @ $60/hr) | $3,600 | $180 | Build + explain + iterate |
QA & troubleshooting | $1,200 | $60 | Fixes, refresh limits, broken auth |
Total | $5,800 | $290 | Before meetings & context work |
4) ROI math: dashboard‑first vs summary‑first
Two operating models; same data, very different results.
Make ROI undeniable
- One‑screen narrative: Wins, risks, and next steps in plain language.
- Three KPIs: traffic/lead/sales trendlines with MoM & QoQ context.
- Simple ROI table: cost → leads → revenue, with assumptions stated.
- Appendix dashboards: by channel or team; send links, not screenshots.
Stakeholders remember recommendations, not widget grids. Tie every chart to a decision.
5) What clients actually read (UX rules that work)
6) Cadence benchmarks: monthly vs quarterly
Most agencies report monthly; that’s fine for operations. Layer a quarterly strategy review to reset goals and budgets.
Cadence | Use it for | Pros | Watch‑outs |
---|---|---|---|
Weekly | High‑spend PPC, launches | Fast iteration, quick flags | Noise; low executive attention |
Monthly | Most retainers | Fresh context; budget pacing | Risk of ritualised reporting |
Quarterly | Strategy & planning | Room for narrative and bets | Requires prep; not for firefights |
7) Case study: $96k/year in wasted spend
A 25‑client performance agency ran “dashboard‑first” for two years. Their numbers looked like this:
Annualised cost: $460 × 25 × 12 = $138,000. Audit interviews found only ~⅓ of client stakeholders read reports end‑to‑end; decisions happened in Slack and calls. After switching to a summary‑first pack (2 pages + appendix dashboards), they cut average time to 1.5 hours and tool spend by 30%, dropping TCO to ≈$240/client → $72,000 per year. Net savings ≈ $66,000, plus higher NPS and faster approvals.
8) Reusable template & cost calculator
Copy this structure and swap in your data. Keep the main report to one screen per section; ship dashboards as links.
<!-- Agency Reporting Pack (Summary‑First) --> 1) Cover - Client, month, your logo 2) Executive Summary (5–8 bullets) - Wins, risks, next steps (who/when) 3) KPI Trendlines (one row) - Traffic, Leads, Revenue (MoM/QoQ/YoY where helpful) 4) ROI Snapshot - Cost → Leads → Revenue; assumptions called out 5) Risks & Decisions - 3–5 calls you need from the client; due dates 6) Appendix Links - Channel dashboards (PPC, SEO, Email, Paid Social, CRO) - Methodology & definitions
Back‑of‑the‑napkin cost calculator
Input | Example | Notes |
---|---|---|
Platform + connectors per client | $140 | Licenses + data connectors amortised |
Hours per client | 4.0 | Build + QA + explain |
Loaded hourly rate | $80 | Salary + overhead |
TCO per client | $140 + (4 × $80) = $460 | Target < $250 |
=platform_fee + connectors_fee + (hours_per_client * loaded_rate)
Run it for both models and compare.
9) 30‑day implementation playbook
Shift to summary‑first in four weeks, without breaking your current dashboards.
Note: All dollar values are USD for comparability. Use the calculator above to adapt to your own fees and hourly rates.