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Ecommerce analytics is where the numbers never match.

Shopify shows one number. GA4 shows another. Meta shows a third. Klaviyo claims credit for everything. Find the gap, the root cause, and the fix.

Featured guides 2 guides

Shop Pay, Apple Pay, PayPal: why GA4 misses revenue
Reported in 876M results
Express checkout tracking
Audit of 27 top DTC Shopify brands: 78% route checkout through domains where your analytics cannot execute. Why the $450/mo server-side pipe barely moves the numbers, and the architecture that actually closes the gap.
See the audit and the fix
Shopify analytics: the honest limitations
Reported in 70.8M results
Platform fundamentals
What Shopify's native analytics actually covers, where it falls short, and how to complement it without paying $200/mo for a third-party tool.
Where Shopify analytics falls short

Coming soon 16 guides

First-party data strategy for DTC brandsReported in 492M results
Server-side tracking: what it actually fixes (and doesn't)Reported in 253M results
iOS 17 Link Tracking Protection: which UTMs surviveReported in 123M results
Repeat purchase rate: why every tool reports a different numberReported in 112M results
Triple Whale vs the honest alternative for sub-$5M DTC brandsReported in 29M results
Subscription churn rate: voluntary vs involuntaryReported in 23M results
Magento/Adobe Commerce GA4 tracking fixesReported in 17M results
Meta Conversions API: what it costs and whether you need itReported in 11M results
Customer Lifetime Value for ecommerce: which formula to useReported in 8.8M results
Abandoned cart recovery tracking (without email capture)Reported in 6.3M results
WooCommerce refund tracking: net vs gross revenueReported in 2.5M results
RFM segmentation: the formulas that actually workReported in 480K results
Klaviyo vs Shopify attribution: which number to trustReported in 220K results
WooCommerce HPOS breaking your tracking pluginsReported in 17K results
Shopify vs GA4 revenue mismatch (with the math)Reported in 9.5K results
2026 DTC Consent Impact Benchmark ReportProprietary data, TBD

Keep reading

Bot traffic (scalpers, carding, ad fraud) The DTC-specific bot attacks that skew conversion data. AI traffic for DTC ChatGPT and Perplexity referrals convert 4-9x better than Google. Don't miss them. Google Analytics problems Why GA4's ecommerce events fire twice or not at all. WordPress analytics If you're on WooCommerce, start here for plugin chaos. Facebook Ads bot traffic $84B in ad fraud and what it means for your ROAS. Attribution modeling Six models with math you can actually verify.

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Frequently asked questions

Why does Shopify show different revenue than GA4?

Shopify counts server-side completed orders. GA4 counts client-side purchase events, which are blocked by ad blockers (~30%), cookie consent rejections (~40% in EU), cache plugins stripping the dataLayer, duplicate native+GTM tags double-counting, and Shop Pay/Apple Pay bypassing the checkout funnel entirely. 15-40% revenue gaps are routine.

Does Meta Conversions API (CAPI) fix ad tracking?

Partially. CAPI sends events server-side, bypassing ad blockers and ITP. But proper setup costs $1,500-5,000 plus $50-200/month for sGTM or Stape. Deduplication between the pixel and CAPI frequently breaks, double-counting or dropping events. Event Match Quality often stalls below 7/10, eroding attribution anyway.

What's the difference between Klaviyo's attribution and Shopify's?

Klaviyo uses a 5-day last-interaction window plus view-through credit. Shopify uses last-click URL referrer. Klaviyo claims revenue from any order where a subscriber opened an email in the last 5 days, even if the purchase was driven by Meta or direct. Combined with Klaviyo flows running alongside paid channels, the same order often gets credited three times. Summed channel ROAS over 100% of actual revenue is the tell.

Is my cart abandonment rate actually bad?

Baymard's 70% global benchmark gets misapplied constantly. Your real rate depends on traffic quality: research traffic abandons at 85%+, direct/branded traffic at 55-65%. A better question is which step is broken — shipping cost shock (20-30% of loss), forced account creation (15-20%), coupon-field hunt (10-20%), payment friction (10-15%). GA4's Funnel Exploration caps at 10 steps and silently drops users who skip any one, so most teams can't diagnose this reliably.

What does HPOS break on WooCommerce analytics?

High-Performance Order Storage (default since WooCommerce 8.2) moves orders from wp_posts/wp_postmeta to dedicated wc_orders tables. Any tracking plugin still reading from the old post-based APIs silently loses all order data. Google for WooCommerce, MonsterInsights eCommerce, and several older GA4 integrations either updated in 2024 or broke entirely. Most store owners discover it when revenue graphs flatline unexpectedly.

Can I do ecommerce analytics without cookies?

Yes. Revenue attribution, session counts, channel grouping, cart/checkout funnels, and engagement metrics all work without cookies — they just require a first-party script that doesn't store persistent identifiers. Cross-session identification (which customer returned?) does need some state, but tab-scoped sessionStorage covers the same session. What you lose without cookies: cross-device identity stitching and multi-day retargeting audiences. What you gain: no consent banner, no GDPR liability, no ITP/ATT signal loss, no consent-mode-v2 complexity. See it in action.

Search result counts sourced from Google via SerpAPI, April 2026. Counts vary over time and by region.