Shopify and WooCommerce analytics for agency client reporting

Track Shopify orders, WooCommerce revenue, and checkout health across every client store in one dashboard. See commerce data alongside deploys, form submissions, and billing — so when checkout conversions drop after a theme update, the correlation is immediate.

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[ How it works ]

Connect commerce integrations per client

Add the Shopify integration for store clients. Install the Burrow WordPress plugin for WooCommerce sites — it captures order events alongside form submissions from the same site. Each commerce source streams events into the client's Burrow project immediately.
See orders, checkout health, and revenue in the client timeline

Order placed, payment completed, fulfillment shipped, refund processed — commerce events land in the same timeline as GitHub deploys, form submissions, Stripe billing, and uptime signals. When checkout conversions drop the day after a theme update, the correlation is right there.
Include commerce data in automated reports

Monthly digests automatically include revenue milestones, order volume, and checkout health alongside engineering output and form activity. The client review covers the full retainer story — not just the marketing metrics or just the store metrics.
Share commerce visibility through client portals

Portal links give stakeholders live access to commerce activity without logging into Shopify Admin or WooCommerce. The VP of Sales sees order volume trending up after the CRO work your team shipped. The founder sees revenue milestones clearing. No admin credentials shared.

You manage the stores. You manage the sites. You report on them separately.

Here’s the Monday morning reality for an agency managing 15 e-commerce clients:

8:30am — Log into Shopify Admin for Client A. Export the monthly order summary. Note the revenue number. Log out. Log into Shopify Admin for Client B. Export. Log out. Client C. Export. You have 9 Shopify clients. This takes 30 minutes if nobody’s store has issues.

9:00am — Switch to WordPress. Open WooCommerce analytics for Client D. Export the order report. Client E has WooCommerce plus Gravity Forms — check both. Client F runs WooCommerce on a multisite install. Three separate analytics views. This takes 20 minutes.

9:20am — Open GitHub. Client A’s Shopify theme had a checkout update this month. Pull up the commit history. Client D’s WooCommerce site had a plugin conflict that required an emergency deploy. Find the PR. This takes 15 minutes.

9:35am — Check Stripe for the clients with subscription billing alongside their stores. Cross-reference subscription revenue with e-commerce revenue. Note discrepancies for the report.

9:50am — Start assembling client decks. One for each e-commerce client. Copy revenue data from one tool, deploy data from another, form data from a third. You haven’t gotten to the non-commerce clients yet.

That’s 80 minutes before the first client call — just on data assembly. And you’re doing this weekly or monthly for 15+ clients.

The problem isn’t the stores. It’s the context around them.

Shopify Analytics tells you Client A processed 234 orders for $47,800 this month. That’s useful.

What it can’t tell you:

That your developer shipped a checkout optimization on March 3rd and conversion rate improved 12% afterward
That the contact form on the marketing site captured 89 demo requests this month — up 30% from the CRO landing page your team built
That Stripe processed $4,200 in subscription billing separately from the store revenue
That uptime was 99.99% despite a hosting migration mid-month
That a theme update on March 15th briefly broke mobile checkout until your team caught it and rolled back within 2 hours

Each of those data points lives in a different tool. Shopify Admin, GitHub, WordPress, Stripe, Oh Dear. Five tools. Five logins. One story to assemble.

Burrow puts the story together for you.

Commerce signals in context

In Burrow, a client’s e-commerce data isn’t isolated in a store admin panel. It’s one signal category among many in the project timeline:

Client A — March 2026 Operations Summary

Commerce: 234 Shopify orders ($47,800). Average order value: $204. Checkout health: stable. Mobile conversion improved 12% after v2.3 checkout optimization (shipped March 3).

Engineering: 5 releases shipped. Notable: v2.3 checkout optimization, v2.4 product page redesign, v2.4.1 hotfix for mobile checkout regression (detected and resolved March 15, 2-hour impact window).

Forms: 89 demo requests via marketing site (up 30% from February). 142 newsletter signups. Contact form volume stable.

Billing: $4,200 in Stripe subscription revenue cleared. All renewals successful.

Uptime: 99.99%. Hosting migration completed March 8 — zero downtime.

That digest wasn’t manually assembled from 5 tools. It compiled itself from events flowing through Burrow from Shopify, WordPress, GitHub, Stripe, and Oh Dear.

Three scenarios where context changes everything

Scenario 1: The checkout regression nobody caught

Without Burrow: Wednesday — Developer pushes a Shopify theme update. Thursday — The client checks Shopify Analytics and sees a 35% drop in checkout completions. Friday — They email your agency asking what happened. The developer investigates, finds broken shipping calculator on mobile, fixes it. Three days of reduced conversions. The client is frustrated.

With Burrow: Wednesday 2pm — deploy.succeeded event. 2:30pm — Shopify checkout error signals spike in the same project timeline. Scout flags the anomaly. Developer sees the correlation between the deploy and the checkout drop immediately. Rollback deployed by 3:15pm. Impact: 75 minutes, not 3 days. Thursday’s client call: “We caught a checkout issue within an hour of deploying and rolled it back. Here’s the timeline.”

Scenario 2: The revenue story that sells the retainer

Without Burrow: Quarterly review. The client asks what they’re getting for $8K/month. Your AM opens Shopify Admin and says “revenue is up 18%.” The client says “that’s the market. What did you do?” The AM scrambles to pull GitHub data, form conversion numbers, and uptime stats from separate tools. The meeting runs 30 minutes over.

With Burrow: Quarterly review. The AM pulls up the Burrow project. “Revenue is up 18%. Here’s why: we shipped 14 releases including the checkout optimization that improved mobile conversion by 12%. Form conversions are up 30% from the CRO landing page we built in February. Uptime was 99.98% across the quarter. One incident — 2-hour checkout regression — detected and resolved same day.” Every claim has a timestamp and an event trail. The client renews.

Scenario 3: The WooCommerce-Shopify hybrid

Without Burrow: Client runs WooCommerce for their primary store and Shopify for a pop-up brand. Different admin panels. Different analytics. Different checkout architectures. Your developer checks two dashboards. Your AM assembles two data sets. The monthly report takes twice as long because every metric needs “Shopify:” and “Woo:” prefixes.

With Burrow: Both commerce integrations feed into one project. The timeline shows WooCommerce orders and Shopify orders in the same stream. The automated digest combines them: “Total commerce: 312 orders ($62,400) — 234 via primary store (WooCommerce), 78 via pop-up brand (Shopify). Both checkout flows healthy.” One project. One report. One portal.

Why merchant-facing tools don’t solve the agency problem

Shopify Analytics / WooCommerce Analytics: Built for store owners managing their own business. Shows products, orders, customers, revenue. Cannot show GitHub deploys, form health, CMS activity, uptime, or billing from tools outside the store.

Kleio ($29/mo) / Triple Whale ($219-$5,099/mo): Shopify profit analytics — P&L, LTV, cohort analysis, ad attribution. Excellent for the merchant asking “am I profitable?” Cannot help the agency asking “what happened across this client’s full stack this month?”

Metorik: WooCommerce reporting SaaS — order analytics, customer segments, email automation. Similar gap: merchant-focused, single-store, no cross-stack context.

These tools belong inside the store. Burrow belongs across the retainer. The agency managing Shopify clients might use Kleio for profit tracking inside each store and Burrow for the operational layer that unifies commerce signals with everything else.

Getting started with e-commerce clients

Start with your highest-value e-commerce retainer:

Connect Shopify or install the Burrow WordPress plugin (captures WooCommerce events automatically)
Connect GitHub for deploy tracking
Connect Stripe for billing signals

The first unified timeline appears within minutes. Commerce events alongside deploys alongside billing — the cross-stack narrative that manual reporting could never assemble efficiently.

Shopify integration | WooCommerce integration | Client reporting use case | Client portals

Frequently asked questions

What e-commerce platforms does Burrow support?

Burrow integrates with Shopify (standard and Plus) and WooCommerce through the WordPress plugin. For other platforms — BigCommerce, Magento, custom checkouts — send commerce events through the Burrow API or PHP/TypeScript SDKs. Any system that can make an HTTP POST can feed commerce signals into a client project.

Does Burrow replace Shopify Analytics or WooCommerce Analytics?

No. Shopify Analytics and WooCommerce Analytics show merchants what sold. Burrow shows agencies what happened across the entire client stack — deploys that affected checkout, forms that stopped converting, billing milestones, and uptime events alongside the commerce data. They answer different questions for different audiences.

How is Burrow different from Kleio, Triple Whale, or Metorik?

Those are merchant-facing analytics tools. Kleio ($29/mo) and Triple Whale ($219-$5,099/mo) track Shopify P&L, LTV, and ad attribution for individual stores. Metorik does similar reporting for WooCommerce. Burrow is an agency operations layer — it puts commerce signals in context with deploys, form health, CMS activity, and billing across every client. They're complementary: the analytics tool lives inside the store, Burrow lives across the retainer.

What Shopify events does Burrow capture?

Order lifecycle events (placed, paid, fulfilled, refunded), checkout signals, and store activity. The specific event types depend on your Shopify integration configuration.

What WooCommerce events does Burrow capture?

Order placed, payment completed, fulfillment updated, refund processed, and cart/checkout funnel signals. The Burrow WordPress plugin captures WooCommerce events alongside form submissions from the same site through one installation.

Can I report on Shopify and WooCommerce clients from the same dashboard?

Yes. Each client project normalizes events regardless of the source platform. A Shopify order.paid event and a WooCommerce order.paid event have the same structure in Burrow. Your agency dashboard shows all client projects — whether they run Shopify, WooCommerce, or both.

What if a client has both a Shopify store and a WooCommerce site?

Connect both to the same Burrow project. Commerce events from Shopify and WooCommerce both land in the client timeline alongside their GitHub deploys, form submissions, and billing data. This is common for clients who run separate storefronts for different brands or regions.

Does Burrow track inventory or product catalog data?

No. Inventory management stays in Shopify or WooCommerce. Burrow captures transactional signals — orders, payments, fulfillment, refunds — as operational events for agency reporting and anomaly detection.

How do agencies track Shopify performance across multiple stores?

Without Burrow, agencies log into each Shopify Admin separately and export data manually. Burrow normalizes order events from every connected store into per-client project timelines. Your agency dashboard shows all commerce clients at a glance — order volume, revenue milestones, checkout health — without switching between Shopify Admin tabs.

What should an agency e-commerce report include?

Beyond revenue and order counts, a strong agency report connects commerce data to operational context: deploys shipped that affected checkout performance, form submissions on the marketing site, uptime during peak shopping periods, and billing milestones. Burrow assembles this cross-stack narrative automatically from real events.

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