Investor Relations

How to run an investor data room as DTC Brand Founders

Investor RelationsFor DTC Brand Founders3 apps12 steps~24 min to set up

You're building a data room for an investor conversation at 11pm on a Tuesday, pulling numbers from four different places. Shopify is in one tab, your Stripe dashboard is in another, you've got a QuickBooks export from two weeks ago, and the real CAC number lives inside Meta Ads Manager. You're copying and pasting into a Google Slides deck that will be outdated by the time anyone opens it. You have no single source of truth for revenue, burn, or margin — and the first thing any serious investor asks is something you have to go dig for manually. You spend more time chasing the data than telling the story.

Build this on Starch → See the apps used

Investor RelationsFor DTC Brand Founders3 apps12 steps~24 min to set up

Outcome

What you'll set up

A live investor data room that auto-refreshes from your Shopify, Stripe, Plaid, and ad platform data — so your numbers are always current when a diligence conversation starts

A narrative dashboard that surfaces your key DTC metrics (CAC, LTV, contribution margin, MoM revenue growth) in one view, ready to share or screenshot into any deck

An automated monthly investor update that pulls fresh data, writes a draft, and sends it — so you stop writing the same email from scratch every quarter

The Starch recipe

Apps, data, and prompts

The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.

Apps used

Investor Reporting Runway Analysis Scenario Analysis

Data sources & config

Starch syncs your Stripe data on a schedule (charges, invoices, subscriptions, payouts) and your Plaid data on a schedule (bank transactions, categorized spend, balances). Shopify is connected from Starch's integration catalog and the agent queries it live when your dashboard runs. Facebook Ads and Google Ads are connected from Starch's integration catalog and queried live for spend and CAC data. QuickBooks is synced on a schedule for entity-level data including invoices, bills, and payments. Gmail is synced on a schedule so your monthly update draft lands directly in your inbox.

Prompts to copy

Build me an investor data room dashboard for my DTC brand. Pull revenue and subscription data from Stripe, transactions and cash balance from Plaid, and orders plus AOV from Shopify. Show MoM revenue growth, gross margin trend, CAC by channel pulling from Facebook Ads and Google Ads, LTV:CAC ratio, and current runway. I want a section I can share with investors that shows the last 12 months of growth and a 6-month forward scenario.

Build me a runway analysis that combines my Plaid bank transactions with Stripe revenue. Break down burn by category using my transaction data, show me current runway in months at current burn rate, and add a scenario toggle so I can model what happens if I hit 20% revenue growth vs. flat vs. 10% down.

Every first Monday of the month, pull my latest Stripe MRR, Plaid ending cash balance, and Shopify 30-day order volume, then draft an investor update email in the format: key metrics this month, what worked, what didn't, what we need. Send it to me as a draft in Gmail so I can review before it goes out.

Run these in Starch → or paste them into your favorite agent

Walkthrough

Step-by-step

1 Connect Stripe and Plaid as scheduled-sync sources — Starch will refresh your revenue and cash data automatically so your data room is never stale when an investor asks.

2 Connect Shopify from Starch's integration catalog — the agent queries your order volume, AOV, SKU-level revenue, and refund rate live whenever the dashboard runs.

3 Connect Facebook Ads and Google Ads from Starch's integration catalog so your CAC by channel flows into the same view as your revenue, instead of living in separate dashboards you never reconcile.

4 Connect QuickBooks as a scheduled-sync source to pull invoice and payment data — this gives investors the clean P&L view they expect during diligence without you exporting anything manually.

5 Start from the Investor Reporting app in the Starch App Store, then customize it for DTC: add a CAC trend section, a contribution margin line, and an LTV:CAC ratio pulling from Stripe subscription data and ad spend.

6 Tell Starch: 'Add a section showing my top 5 SKUs by revenue and margin for the last 90 days, pulling from Shopify order data' — the agent queries Shopify live and adds the view.

7 Build a scenario analysis using the Scenario Analysis starter app — model your 6-month cash position under three revenue assumptions (bear/base/bull) so you can answer the 'what if growth slows?' question before an investor asks it.

8 Set up an automation: 'On the first Monday of every month, pull Stripe MRR, Plaid cash balance, and Shopify 30-day GMV, then write a draft investor update email and save it to Gmail drafts for my review.'

9 Create a shareable data room view — a read-only dashboard you can drop a link to in a diligence email, showing trailing 12-month revenue, gross margin, CAC, and runway. No spreadsheet export needed.

10 Add a refund and return rate metric pulled from Shopify so investors can see your net revenue story, not just gross — DTC investors specifically look for this and it's usually buried.

11 Set a weekly Slack alert: 'Every Friday, send me a Slack message with this week's Stripe revenue vs. last week, current Plaid cash balance, and any transactions over $5,000 from the last 7 days.'

12 Before your next fundraising conversation, run the scenario planner and update your data room link — you're walking in with live numbers, not a deck you built last month.

See this running on Starch

Connect your tools, describe what you want, and the agent builds it. Closed beta is free.

Try it on Starch →

Worked example

Series A Diligence Pack — April 2026

Sample numbers from a real run

Stripe MRR (April)	187,000
MoM revenue growth	14
Plaid ending cash balance	412,000
Runway at current burn (months)	9
Shopify 30-day GMV	623,000
Blended CAC (Meta + Google, April)	38
LTV (12-month cohort average)	210
LTV:CAC ratio	5.5
Gross margin (QuickBooks COGS vs. Stripe revenue)	62
Refund rate (Shopify, trailing 30 days)	4.2

The lead investor asked for a data room on a Thursday afternoon. Instead of a weekend rebuild, the Starch investor dashboard was already live: $187K MRR from Stripe, up 14% MoM, with $412K cash in the bank and 9 months of runway from Plaid transactions. Shopify showed $623K in GMV over the last 30 days. The blended CAC came in at $38 pulling live from Facebook Ads and Google Ads in Starch's integration catalog — against a 12-month LTV of $210, giving a 5.5x LTV:CAC ratio that answered the unit economics question before it was asked. QuickBooks sync showed 62% gross margin on a clean COGS basis. The refund rate of 4.2% from Shopify was right there in the data room, not buried or omitted. The scenario analysis showed 6-month runway extending to 14 months under the base-case growth projection. The founder shared a read-only link, answered follow-up questions the same day, and closed the round in three weeks.

Measurement

How you'll know it's working

LTV:CAC ratio by acquisition channel (Meta vs. Google vs. organic)

Contribution margin per SKU (Shopify revenue minus COGS minus ad spend)

Monthly burn rate and runway in months from Plaid transactions

MoM Stripe MRR growth and subscription churn rate

Shopify refund rate and net revenue vs. gross GMV

Comparison

What this replaces

The other ways teams handle this today, and how the Starch version compares.

Google Slides + manual exports

Free and familiar, but every investor update is a full rebuild — your numbers are always at least two weeks stale by the time anyone sees them.

Visible.vc

Purpose-built for investor updates and KPI tracking, but it doesn't connect to Shopify or your ad platforms natively, so you're still manually inputting your core DTC metrics.

Notion data room

Great for document storage and narrative, but Notion doesn't pull live financials — you're embedding screenshots, not live numbers, and diligence questions still require you to go dig.

Looker Studio (Google Data Studio)

Can connect to multiple sources and build live dashboards, but requires meaningful setup time per connector, has no AI authoring layer, and won't write your monthly investor update draft.

Carta / Pulley with manual financials

Handles cap table perfectly, but has no revenue or operating metrics layer — you still need a separate system for the financial story investors actually want to see.

On Starch RECOMMENDED

One platform — investor reporting, runway analysis, scenario planning all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.

Try it on Starch →

FAQ

Frequently asked questions

Does Starch connect to Shopify for DTC-specific metrics like SKU-level revenue and refund rates?

Yes. Connect Shopify from Starch's integration catalog and the agent queries it live when your dashboard or automation runs. You can ask for SKU-level revenue, AOV, refund rate, order volume, or any other data Shopify exposes — just describe the metric you want and Starch surfaces it.

Can I connect both Facebook Ads and Google Ads to calculate blended CAC?

Yes. Both are available through Starch's integration catalog and queried live. Tell Starch 'show me CAC by channel pulling from Facebook Ads and Google Ads spend against Shopify new customer orders' and the agent builds that view. You can also ask it to calculate blended CAC across both platforms.

Will my investor data room stay current automatically, or do I have to refresh it manually?

The scheduled-sync sources (Stripe, Plaid, QuickBooks) refresh on a schedule automatically — your revenue, cash balance, and P&L data updates without you touching anything. Live-queried sources like Shopify and your ad platforms are pulled fresh each time the dashboard loads. You don't rebuild the data room; you just share the link.

What about QuickBooks — I need a real P&L for diligence, not just bank transactions.

Starch syncs your QuickBooks data on a schedule, including invoices, bills, payments, vendors, and journal entries. One honest limit worth knowing: QuickBooks report views like the P&L summary view are temporarily disabled while an upstream fix is in progress. Entity-level data syncs normally, so you can build a P&L from underlying transaction data. If you need the formatted QuickBooks report view specifically, that's worth factoring in.

I don't want to share my full Stripe or Plaid data with investors — can I control what's visible?

Yes. You build the data room view and choose what surfaces. You're sharing a dashboard you've configured, not raw API access. You decide which metrics appear, which time ranges show, and what level of detail is visible in the shared link.

Can Starch write my monthly investor update, or just pull the data?

Both. You can set up an automation that pulls fresh data from Stripe, Plaid, and Shopify on a schedule and then drafts an investor update email in your preferred format — dropped into your Gmail drafts so you review before it goes out. You describe the format once; Starch handles the data pull and drafting every month.

Is Starch SOC 2 certified? My investors may ask about data security.

Not yet — Starch is not SOC 2 Type II certified today. If a prospective investor has hard compliance requirements around data security certifications, that's worth knowing upfront. For most seed-to-Series A DTC founders having investor conversations, this hasn't been a blocker, but it's an honest answer.