Client Reporting Automation — RDCO Services One-Pager (v1)
The buyer’s pain, in one stat: 80%+ of companies report no bottom-line impact from their AI investments yet (McKinsey, “AI is everywhere; the agentic organization isn’t — yet”, State of AI 2025). The buyer has spent on dashboards, AI tooling, and consultants — and still can’t point to a number on the P&L that moved. This offering targets that gap by delivering a decision-ready monthly artifact, not another tool.
The offering, in one sentence
Managed monthly client reporting that ingests data from your existing tools, validates it with the MAC framework (Model Acceptance Criteria), writes a decision-ready narrative, and delivers a branded PDF to your client’s inbox — for $2,500/month per client account, with the first 30 days free as a pilot.
The buyer
Mid-market companies (10–200 employees) who currently:
- Pay an agency $5–15k/month and get fragmented dashboards instead of decisions, OR
- Have a junior analyst spending 5–15 hours/week pulling data and writing reports manually, OR
- Have a fractional CMO/COO who wants to deliver more polished client-facing work
The decision-maker is usually the founder, COO, or head of marketing. They feel the pain personally because they’re the one who has to read the report and decide what to do with it.
What the buyer gets each month
- One branded PDF report delivered to their (or their client’s) inbox on the same date each month
- Multi-source data ingestion — pulls from Google Analytics 4, Google/Meta/LinkedIn Ads, the CRM (HubSpot, Salesforce, etc.), the project management tool, anything else they care about
- Written narrative in the buyer’s voice: “Paid traffic increased 23% MoM driven by the new LinkedIn campaign. Organic dipped 8% post-migration. CPA decreased to $42, the lowest since Q1.” — not a metric dump, a story.
- MAC validation stamp: every reported metric carries a small badge — green (validated against system of record), yellow (validated with caveats), red (failed validation, surfaced for human review). The buyer sees at a glance which numbers to trust.
- Snapshot archive: every monthly snapshot is stored, so any reported number is reproducible 18 months later. No “wait, where did that figure come from?”
- Slack/email delivery to the recipients of their choice
What the seller does each month
- ~30 minutes of QA on the auto-generated narrative
- ~15 minutes adjusting the MAC validation thresholds if the buyer’s data shape changed
- Handle any “this number looks wrong” follow-ups (rare once the validation layer is dialed in)
Total per-client ongoing labor: <2 hours/month.
Setup labor (one-time per client): 8–15 hours to wire up the data sources, define the buyer’s KPI dictionary, and brand the template.
Pricing
| Tier | Cost | What’s included |
|---|---|---|
| Pilot | Free for 30 days | One full monthly report, full feature set, no credit card |
| Standard | $2,500/month | One report cadence, up to 5 data sources, MAC validation, snapshot archive |
| Multi-account | $1,500/month per additional account | For agencies running this for their own clients |
| Founder advisory | $7,500/month | Standard tier + monthly 90-min strategy call to interpret the report and set next-month focus |
At 5 standard-tier clients = $12,500/month recurring. At 5 founder-advisory clients = $37,500/month.
The differentiation (why anyone pays for this vs. a $200/mo dashboard tool)
Three things, in priority order:
-
The MAC validation stamp. No off-the-shelf reporting tool tells you which numbers to trust. Every dashboard treats every metric as equally reliable. The MAC framework — published in our content series, pioneered in Ben’s MG work — is the trust signal that says “this number passed our acceptance criteria.” Buyers who’ve been burned by bad data (most of them, repeatedly) understand this immediately.
-
Written narrative, not a metric dump. Most reporting tools deliver “here’s a chart of your last 30 days.” We deliver “here’s what changed, why it changed, and what to do about it.” The buyer doesn’t have to interpret. The buyer has to act.
-
Operator-built, not vendor-built. The pipeline was built by an operator (Ben) running the same workflow at Mammoth Growth for clients like Progress and Nutrafol. The buyer is paying for the playbook, not for a tool. Differentiation that no SaaS can copy.
How it sells (GTM)
The Sanity Check newsletter and X presence are the funnel. Specifically:
- The MAC content series (article + 7-day drip course + downloadable template) is the top-of-funnel trust builder. It positions Ben as the authority on “semantic reliability” for analytical data.
- Drip course CTA offers a free 30-min “Your Reporting Audit” call. Ben uses the call to demo the pipeline running on the prospect’s actual data via screenshare.
- Conversion happens on the call when the prospect sees their own data flowing through MAC validation in real time. Pilot signups close at 20–30% from there if the audience-fit is right.
The math: 5 prospect calls per month × 25% conversion = 1.25 pilots/month → ~1 standard signup/month. At 12 standard clients in 12 months = $30k/month MRR.
Architecture (technical, for reference)
[Buyer's data sources]
GA4, Google Ads, Meta Ads, HubSpot, Salesforce, custom DBs
↓ (auth via OAuth or API keys)
[Pull layer — Claude Code orchestrated]
Pull period, normalize, store snapshot
↓
[MAC validation layer]
For each metric: validate against SoR, flag tier (green/yellow/red)
↓
[Narrative generation layer]
Claude writes the monthly story in the buyer's tone using the snapshot + validation results
↓
[Render layer]
Inject narrative + charts + MAC badges into branded PDF template
↓
[Delivery layer]
Email or Slack to the configured recipient list, snapshot archived
Per Rohit’s framing (../../06-reference/2026-04-14-rohit-5-pipelines-claude-code-business): Claude Code is the orchestration layer, the data-source APIs are the capability layer, MAC is the differentiating layer.
Risks and constraints to flag for Ben
- Moonlighting clause check — phData’s employment agreement may restrict outside consulting work. Need to read it before any client pitch goes out.
- Sequencing vs. MAC content series — the offering depends on the MAC content being live as the credibility funnel. Don’t pitch before the content lands. Ship MAC first, then offering.
- Brand decision — solo (Ben Wilson) or RDCO (Ray Data Co) brand for the launch? Different positioning, same pitch. Founder picks.
- First-pilot risk — first paid client should be someone with low expectations and high tolerance for iteration (a friend or warm contact), not a stranger paying $2,500 expecting perfection.
Decision-ready next milestones
| When | What | Who |
|---|---|---|
| This week | Founder picks 3 candidate clients from warm network for soft pitch | Ben |
| Next 2 weeks | MAC anchor article + Day-1 drip email shipped (already drafted) | Both |
| Next 30 days | Build MVP pipeline on one real (friendly) account end-to-end | Ray |
| Q2 end | One paid pilot signed at $2,500/mo | Both |
| Q3 end | 3 paying clients = $7,500/mo MRR | Both |
| Q4 end | 6+ clients OR pivot the offering based on what we’ve learned | Both |
Related
- ../../06-reference/2026-04-14-rohit-5-pipelines-claude-code-business — pipeline framing source
- ../../06-reference/2026-04-15-data-engineering-weekly-reader-survey-response — “Context Engineering” as the named category
- ../../06-reference/2026-04-15-thariq-claude-code-session-management-1m-context — 1M-context unlocks pipeline-in-a-session, validates the technical feasibility
- ../data-quality-framework/content/2026-04-15-mac-anchor-article-draft-v1 — the content asset that funnels to this offering
- ../financials/2026-04-11-phdata-vs-mg-decision-analysis — moonlighting clause check needs to come from this contract