Funnel overview
Step-by-step drop-off, period selector (today / 7 / 30 / custom), traffic filter (All, Meta, Google, Organic, Email), comparison to prior period.
Beta — currently available to selected merchants
Metaply Pulse (Beta)
Most Shopify stores have no idea if their funnel is leaking — until their ROAS tanks and they blame the ads. Metaply Pulse monitors your store's conversion funnel in real time, surfaces which products and pages are dropping off, and alerts you before you waste another dollar sending traffic to a broken experience.
Funnel (last 7 days)
Landing → Product → Add to cart → Purchase
↓ 22% drop to next step
↓ 42% drop · watch
↓ 58% drop to purchase · alert
Pulse alerts
Critical
Checkout drop-off up 34% today vs last week
Add to cart → Purchase · 2:14 PM
Warning
Product page load p95 > 3.2s on mobile
11:08 AM
Opportunity
Eye cream converting cold traffic at 2.8% (3× avg)
Yesterday
Why this matters
When ROAS drops, the instinct is to blame the ads — change the creative, adjust the audience, increase the budget. But half the time the ads are fine. The problem is what happens after the click.
A product page with a slow load time. A checkout flow with unexpected shipping costs. A hero product getting added to cart constantly but never purchased — signaling a price objection nobody caught. Traffic from one ad set converting at 4× the rate of another, and nobody noticed.
These aren't ad problems. They're funnel problems. And without visibility into your store's conversion behavior, you're flying blind — optimizing the top of the funnel while the bottom leaks.
Without Pulse
With Pulse
Funnel Lens
Metaply Pulse maps your store's full conversion funnel — from the first landing page view to the completed purchase — and shows you exactly where visitors are exiting at each step. Unlike GA4 or Shopify's built-in analytics, Pulse is built on Metaply's server-side event data, so the numbers stay accurate after iOS changes and ad blockers.
Steps tracked
Each step shows
Use case
A supplement brand sees Add to Cart → Checkout drop-off at 61% — nearly double the industry average. Pulse surfaces it. They find unexpected shipping costs at checkout, fix the messaging, and drop-off falls to 34% the next week.
Product intelligence
Not all products behave the same. Some have high traffic but low product page conversion — a creative problem. Some have high ATC but low purchase — price or trust. Some convert cold traffic at 3× your average — a scaling opportunity. Pulse breaks down performance per product so you know where to focus.
Signals per product
High ATC, low purchase
Hat brand: 38% ATC, 11% purchase. Pulse flags it — missing size guide + long shipping copy. After fixes, purchase climbs to 24% in 5 days.
High view, low ATC
Baby brand: cold traffic to accessory page at 4% view→ATC vs 14% store avg. Redirect to hero stroller first — context improves ATC.
Hidden scaler
Skincare: $45 eye cream at 2.8% cold CVR (3× average). Shift budget — top acquisition SKU within two weeks.
Pulse alerts
Funnel problems stay invisible until they're expensive. Metaply Pulse alerts you when something anomalous happens — so you can fix it before it burns budget.
Delivery: in-app dashboard, email digest, optional Slack (beta merchants).
Use case
Long weekend ads: Pulse alerts Saturday — checkout drop-off up 67% vs baseline. Theme update hid the checkout CTA on mobile. Fixed in 20 minutes instead of discovering it Monday.
Metaply Pulse doesn't require additional tracking. It's built on the same server-side events Metaply already captures for Meta, Google, and Klaviyo — no new pixel, no developer. Enable Pulse in the dashboard and funnel mapping starts immediately.
Enable Pulse
One toggle in your Metaply dashboard
Metaply maps your funnel
Uses existing server-side data — no new setup
Alerts & insights
Dashboard + notifications when something needs attention
Server-side events — not browser-only tracking — so funnel data holds up after iOS privacy changes and ad blockers that cause typical tools to miss an estimated 20–30% of sessions.
Funnel overview
Step-by-step drop-off, period selector (today / 7 / 30 / custom), traffic filter (All, Meta, Google, Organic, Email), comparison to prior period.
Products
Sortable table: product, views, ATC rate, purchase rate, trend, alert status — flagged rows for decline (red) and scaling opportunity (green).
Alerts
Feed with timestamp, severity, recommended action. Settings for custom thresholds on spikes and conversion shifts.
The media buyer
Reporting stops at the click. Pulse adds the post-click layer — see if traffic converts or if you're funding a leaky funnel.
The founder
Spending serious budget on ads? Get alerted when something breaks — not last to hear about a checkout issue.
The e-commerce manager
One view of which products to fix, scale, or watch — without an hour in GA4 every morning.
Metaply Pulse is currently in beta and being rolled out to a limited group of stores. There is no additional setup — once your account is approved, enable Pulse in your dashboard and your funnel data starts flowing.
Current beta access includes
Pricing and beta capacity are finalized during onboarding based on store fit and rollout availability.
Pair Pulse with custom conversion events and integrations. See case studies or install on Shopify.
Metaply Pulse is in limited beta for selected merchants. Request access now, or install Metaply from the Shopify App Store to get started.
Pulse is Metaply's funnel analytics: it shows where shoppers drop off across landing, product view, add to cart, checkout, and purchase — using server-side data Metaply already collects.
No. Enable it in the dashboard; it uses your existing Metaply event pipeline.
Pulse leans on server-side events aligned with your ad destinations, reducing gaps from browsers and blockers compared to client-only analytics.
Drop-off spikes, source anomalies, product conversion changes, scaling opportunities, and high add-to-cart-without-purchase patterns — in-app, plus email digest and optional Slack.
Pulse is currently in limited beta for selected merchants. Access is being rolled out in waves, and plan details are confirmed during onboarding.