Use case · Marketing agencies

Client reporting for marketing agencies. White-label per client.

Client reporting for UK marketing agencies usually means manual screenshots of Google Ads, Meta, GA4 and Klaviyo pasted into a slide deck — half a day per client per month. Then you bolt on an AI tool, and now you're worried it hallucinated the numbers. DataHub Pro takes any CSV export, applies the client's branding, and ships a polished editable Word + PowerPoint deliverable in 90 seconds. Every figure is auditable — pandas-backed tool-use, no generative narrative LLM dreaming up KPIs. Built by a J.P. Morgan AI VP who built risk models for £1bn portfolios. From $14.99/mo. One client free, forever.

Updated 7 May 2026

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Auditable
Every AI number cites a source
Pandas tool-use, not generative narrative
90 sec
CSV → branded Word + PPT export
Half-day decks become 15-min jobs end-to-end
$14.99 / $39 / $59
Pay for your agency, not your client list
vs Databox $79+ / AgencyAnalytics $79+ / Whatagraph $279+

The retainer-risk problem with AI-powered client reporting

Every agency reporting platform is bolting on a generative-AI summary right now. Databox calls theirs "Performance Magic". The pitch is great in a sales demo. The reality is that an LLM, asked to write a narrative summary of a client's last 30 days, will confidently invent numbers when it doesn't know the answer — researchers have documented this on enterprise-grade models in the 5-15% range, and there is no way to know which 5% is wrong without re-verifying every figure by hand.

If you ship that report and a client spots an invented number, your retainer is at risk. That's not a hypothetical — it's why a senior account manager still spends an hour proof-reading every AI-generated client deck. Which means you bought an AI tool and got back roughly the same time you'd have spent making the deck yourself.

DataHub Pro fixes this with auditable AI

Our "Ask Your Data" and AutoInsights features don't ask the LLM to know the numbers. They ask it to plan a pandas calculation, run that calculation against the actual data, and quote the result. Every figure in every AI-generated narrative carries a citation back to the row of the spreadsheet that produced it. If you click a number in a generated insight, the platform highlights the rows it came from.

This is the same auditable-tool-use pattern that institutional finance has used for AI assistants since 2024 — built into DataHub Pro because the founder spent years building risk models for J.P. Morgan where a hallucinated number isn't a UX bug, it's a regulatory incident. For an agency selling client-reporting accuracy as part of the retainer, that's the same standard.

Why most agency reporting tools price by client

Most agency-focused dashboarding tools (AgencyAnalytics, Whatagraph, ReportGarden, Swydo) charge per managed client — $79 for 5, $129 for 15, $279 for 50. The economics make sense at scale; they're punishing if you have 30 small clients each generating £500/month of agency revenue.

The DIY pattern is worse

Senior account managers do this for 5-15 clients each. Multiply by hours and it's the largest single time sink in most digital agencies.

What client reporting should be

Drop in the CSV exports. Switch to the client's branding profile. Generate a branded editable PPT/DOCX. Senior account manager spends 15 minutes adding strategic commentary; junior team handles the upload step.

How DataHub Pro fits an agency's reporting workflow

Same primitives as the rest of the platform, with white-label as a first-class feature rather than an upcharge.

1

Per-client branding profiles

Save each client's logo, primary + accent colours, and typography style. Switch profiles before generating a report; every chart, header, and export picks up the right branding automatically.

2

Multi-platform CSV ingest

Google Ads, Meta Ads, GA4, Klaviyo, Mailchimp, HubSpot — every platform exports CSV. The platform reads them with auto-encoding detection, type inference, and date dialect handling.

3

Pipelines: combine multiple sources

Join Google Ads spend with GA4 conversions, or HubSpot deals with Meta Ads attribution. Pipelines is a visual ETL layer for cross-source analyses your client actually cares about.

4

AI insights in the agency's voice

AutoInsights writes 3 narrative summaries per upload ("ROAS up 14% MoM", "CPA on Meta exceeding target by 23%", "3 anomalies in Google Ads spend"). Edit the tone to match your agency's brand voice; once set, future reports inherit it.

5

One-click DOCX + PPTX with the client's branding

Auto Report generates a fully editable Word document and PowerPoint deck with the client's brand, executive summary, KPI table, channel breakdown, anomalies, recommendations, and appendix. Editable in Office or Google Docs.

6

Scheduled monthly delivery

Set up a monthly recurring report per client; the platform regenerates with the latest data and emails the branded PPTX/DOCX to a distribution list. Audit log of every send.

What changes for an agency's economics

1. Margin per client

The marginal cost of an additional client report drops from 4 hours of senior account manager time to 30 minutes. Agencies with 30+ clients reclaim 30+ hours/month on reporting alone.

2. Senior team focus

Senior account managers spend their time on strategic commentary and client relationships, not chart formatting. Junior team handles the upload step.

3. Client perception

White-labelled with each client's logo. Clients see professional analytics output that looks like enterprise BI — not a freelancer's screenshot deck.

4. Pipeline of new client wins

The reporting capability becomes a sales asset. "Here's a sample report I'd build for you" — generated in 2 minutes — is a stronger pitch than "we'll do good reporting".

Where DataHub Pro fits in an agency's stack

Performance marketing agencies (Google Ads / Meta Ads)

Multi-channel ROI dashboards, weekly client KPI reports, monthly retrospectives. White-label per client.

SEO / content agencies

Search Console + GA4 exports → ranking trends, top-page performance, conversion attribution. Branded for the client.

Email / lifecycle agencies

Klaviyo / Mailchimp exports → cohort retention, RFM, campaign performance. Useful for justifying retention spend to the client.

Full-service / multi-channel

Combine all channels via Pipelines into a single client KPI dashboard. Most useful for the "hero report" you ship monthly.

When DataHub Pro isn't the right shape for an agency

If your reporting is purely real-time live dashboards from API connections (Looker / Domo style), tools like AgencyAnalytics or Databox have a more turnkey live-pull experience for the platforms they integrate with. DataHub Pro is the right fit when your reports run weekly/monthly cadence, when you want full white-label, when you have non-standard data sources (CRM exports, custom client dashboards), or when per-client pricing of competitors is unaffordable.

What a marketing agency reporting tool needs to do

Agency reporting lives and dies by two things: speed and trust. Speed because the report has to be done before the client meeting, not after. Trust because one wrong number on a client-facing document can cost a retainer. Most marketing agency reporting tools solve one but not both — they're either fast and unauditable (AI summaries that hallucinate) or trustworthy and slow (manual exports into PowerPoint).

DataHub Pro is built for agencies who can't afford either failure mode. Every AI-generated insight cites the exact rows it drew from. Every chart is built from the uploaded data, not inferred. And the output is a fully editable DOCX or PPTX — not a locked PDF — so you can add the narrative slide before the 9am send.

🏷️

Per-client white-label branding

Each client workspace has its own logo, brand colour, and company name. Every exported report carries the client's branding — no DataHub Pro attribution. Indistinguishable from a bespoke analytics build.

Auditable AI — every number cited

Auto Insights shows the calculation behind every statement: "Revenue is up 18% MoM (£42,100 vs £35,700 last month)." Your client can check the maths. Your retainer stays safe.

📄

Editable Word + PowerPoint in one click

Auto Report generates a fully editable DOCX or PPTX — cover page, exec summary, KPI charts, anomaly flags, recommendations. Open in Word or PowerPoint, add your narrative slide, send. Typical time from upload to ready-to-send: under 10 minutes.

50 analyses from one CSV upload

Drop in the client's GA4 export, Meta Ads CSV, or CRM data. Get trend analysis, period comparison, anomaly detection, forecasting, and RFM segmentation — all in one upload, without building anything. Per-engagement, not per-platform.

Agency reporting tool pricing — what you actually pay

Most agency reporting tools charge per client or per data source. At 15 clients that quickly becomes the most expensive line item in your stack. DataHub Pro charges per user, not per client — your whole client roster, one flat fee.

Tool Pricing model Cost at 15 clients Editable export
DataHub Pro Per user ~$14.99–$59/mo ✓ DOCX + PPTX
Databox Per data source $150–$400+/mo ✗ PDF only
AgencyAnalytics Per client $150–$300+/mo ✗ PDF only
Looker Studio Free (no AI) Manual build per client ✗ PDF only

FAQs

Does it integrate with Google Ads / Meta / GA4 directly?

Today: each platform exports CSV — drop those in. Direct API connectors are roadmap. Most agencies prefer the export-based pattern because it's auditable, gives you a snapshot the client can refer back to, and works with platforms (CRMs, custom data) that don't have public APIs.

How does white-label per client work?

Save a branding profile per client (logo, colours, typography). When generating a report, pick the client; every chart, header and export picks up that branding. No client switching cost. Per-client workspaces (full data isolation) on Enterprise.

How does this compare to Databox or AgencyAnalytics?

Three differences. (1) Auditable AI: Databox's "Performance Magic" and AgencyAnalytics' AI summaries are generative LLMs that can hallucinate numbers. DataHub Pro's AI is pandas-backed tool-use — every figure cites its source row, no client meeting risk. (2) Pricing: Databox starts at $79/mo for 3 data sources only; AgencyAnalytics is $79 for 5 clients then $129 for 15. DataHub Pro is from $14.99 with unlimited data sources on Starter, and $59 for unlimited clients on Agency Pro. (3) Built-in deeper analyses: Holt-Winters forecasting, statistical anomaly detection, RFM segmentation, cohort retention are first-class tools — not add-ons. The trade-off: Databox and AgencyAnalytics have more pre-built API connectors. DataHub Pro is CSV-first with Google Sheets + Shopify direct sync; more APIs land in 2026.

Can I share live dashboards with clients?

Yes — public-share URL with optional password and expiry. Recipients view in any browser; no DataHub Pro account required. White-labelled with the client's branding so it looks like your agency's tool, not ours.

Can I produce a sample report on a prospect's data for a sales pitch?

Yes. Free tier handles up to 50 MB / 100,000 rows — enough for a sample report from a prospect's last month of GA4 + Google Ads. Generate, white-label, send. Many agencies report this as the highest-conversion outbound deliverable.

How does pricing scale for an agency with 50 clients?

Pricing is per agency, not per client. Free for 1 client forever (full white-label, branded exports — useful for prospect demos). Starter $14.99/mo for up to 5 clients. Agency $39/mo for up to 20 clients (per-client workspaces + goal tracking + Google Sheets sync). Agency Pro $59/mo for unlimited clients (plus partner programme rev-share). A 50-client agency pays $59 — compare to AgencyAnalytics at $159+ for 25 clients or Databox starting at $79 for 3 data sources only.

Can I customise the report template?

Pro tier: pick from preset templates (Performance Marketing, Email/Lifecycle, SEO, Multi-Channel) and apply your branding. Enterprise: full custom report templates designed to your spec. Most agencies start with a preset and modify it once.

Does it support multi-currency or multi-region clients?

Yes — multi-currency reports with FX conversion to a reporting currency. Useful for agencies with international client bases (e.g. UK-based agency with US and EU clients).

How do I onboard a new client into the workflow?

5-minute setup: create a new branding profile (logo, colours), upload their first export, generate the first report. Optionally save as a template for the recurring monthly run. Most agencies onboard a new client in under 15 minutes.

How long does it take to generate a single client's report?

End-to-end (upload → branded DOCX/PPTX in your inbox): 30-90 seconds for typical files. Multiply by number of clients for total time; for 30 clients that's about an hour of unattended generation, vs. 30 hours of manual work.

What is the best reporting tool for marketing agencies?

The best marketing agency reporting tool produces white-label, editable reports your clients can actually read — not locked PDFs or dashboard screenshots. DataHub Pro generates fully editable DOCX and PPTX files from any client CSV in under 10 minutes, with per-client branding and AI insights that cite their sources. From $14.99/month per user, unlimited clients.

How does DataHub Pro compare to AgencyAnalytics?

AgencyAnalytics charges per client and is built around live connector dashboards (Google Analytics, Meta Ads, etc.). DataHub Pro works from CSV exports, produces fully editable Word/PowerPoint reports, and charges per user — not per client. If your deliverable is a polished monthly report rather than a live dashboard your client logs into, DataHub Pro is typically faster and cheaper at scale.

Can I brand reports differently for each client?

Yes — each client workspace has its own logo, brand colour, and company name. The exported DOCX and PPTX carry the client's branding throughout: cover page, header, footer. DataHub Pro branding does not appear anywhere in client-facing deliverables. Per-client branding is included from the Pro tier.

Does it work with Google Analytics, Meta Ads, and other marketing data sources?

Yes — via CSV exports. Export from Google Analytics 4, Meta Ads Manager, Google Ads, HubSpot, or any other tool as a CSV. DataHub Pro auto-detects the schema and runs the appropriate analyses. For monthly reporting workflows, the export-and-upload pattern is faster than maintaining a live connector per client.

Replacing Looker? DataHub Pro gives marketing agencies the same boardroom-ready dashboards without Looker's complexity or enterprise price tag — and with full white-label branding per client. See how DataHub Pro compares to Looker →

Save 4 hours per client on monthly reporting.

Drop in last month's CSV exports. Switch to the client's branding. Ship the deliverable in 15 minutes. Free tier — no credit card.

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See also: · For e-commerce · For SaaS founders · For sales teams · For product teams · vs Databox · vs Geckoboard · White-label reporting · Home