Cross-Analyse Klaviyo, Shopify, and Google Ads in One Place

5 min read

Connect Klaviyo alongside your other data sources and let Chartcastr cross-analyse email performance against store revenue, ad spend, and organic traffic.

Cross-Analyse Klaviyo, Shopify, and Google Ads in One Place

Your email campaigns don't exist in a vacuum. A welcome flow drives revenue. A promotional blast lifts store traffic. A post-purchase sequence influences repeat orders. But the data that proves this lives in Klaviyo, while your revenue lives in Shopify, your ad spend lives in Google Ads, and your organic traffic lives in Google Search Console.

Most teams check each platform separately. Someone opens Klaviyo to see open rates. Someone else pulls the Shopify dashboard for weekly revenue. A third person checks Google Ads ROAS. Nobody connects the dots because the data never sits in the same room.

Chartcastr puts it in the same room.

How Cross-Analysis Actually Works

When you connect multiple sources to Chartcastr, each one delivers its own charts on a schedule. But the AI analysis layer reads across all of them. It sees your Klaviyo flow revenue climb the same week your Shopify repeat customer rate jumps. It notices your Google Ads CPC rising while email open rates hold steady, suggesting organic and email are doing more of the heavy lifting than paid.

This isn't a dashboard you have to visit. It arrives in Slack or email on the schedule you set.

Example: A DTC Brand Running All Four Sources

Here's what a weekly setup looks like for an e-commerce team selling skincare products:

Monday morning, #growth-metrics (Slack)

SourceMetricWhat it shows
KlaviyoCampaign RevenueRevenue attributed to email sends last week
KlaviyoFlow Conversion RateHow well automated sequences are converting
ShopifyRevenueTotal store revenue
ShopifyNew vs Returning CustomersCustomer mix shift
Google AdsSpend & ROASPaid acquisition efficiency
Google Search ConsoleClicks & ImpressionsOrganic search health

Six charts. One channel. Every Monday.

What the AI Summary Actually Says

This is the part that replaces the analyst. Instead of six isolated numbers, you get something like:

Weekly revenue hit $89K, up 14% WoW. Klaviyo campaign revenue contributed $23K — the highest share this quarter — driven by the spring sale send on Tuesday. Flow conversion rates held at 4.2%, suggesting the welcome series is performing consistently regardless of campaign volume. Shopify returning customers made up 51% of orders, up from 44% last month. Google Ads ROAS dipped to 2.9x from 3.4x while spend stayed flat, indicating audience fatigue on the current creative. Organic clicks from Google Search Console grew 8%, now driving more landing page visits than paid search.

One paragraph. Every source connected. The insight isn't "open rates went up." The insight is that email is carrying more revenue while paid efficiency drops, and organic is quietly growing.

Another Example: Diagnosing a Revenue Dip

Your Shopify revenue drops 12% week over week. Without cross-analysis, the team scrambles. Was it the site? The ads? A supply issue?

With all four sources reporting, the AI summary catches it:

Revenue declined 12% to $67K. Klaviyo campaign sends were down 40% this week due to the email team being at an offsite — flow revenue held steady at $11K, confirming automations are working independently. Google Ads spend increased 15% but ROAS fell from 3.4x to 2.1x, suggesting the new audience targeting isn't converting. Google Search Console shows impressions stable but CTR down 0.3pp after the title tag changes last Wednesday. The revenue dip appears driven primarily by reduced email volume and lower paid conversion, not organic or automation issues.

That's the kind of analysis that takes an analyst two hours of cross-referencing dashboards. Chartcastr delivers it before anyone finishes their morning coffee.

Setting It Up

Connect each source in Chartcastr — Klaviyo, Shopify, Google Ads, Google Search Console. Each takes a couple of minutes via OAuth.

For the full cross-analysis experience, use Source Groups to bundle related sources together. A single Pulse pulls from all of them, and the AI summary analyses them as one picture rather than four separate data points.

Start with weekly delivery. Daily is useful for operational metrics like order volume, but cross-analysis benefits from having a full week of data to compare.

Pick your main Slack channel or set up a dedicated #data-weekly channel. The team will start replying in threads within the first week — that's the signal it's working.

Getting Started with Klaviyo

Chartcastr's Klaviyo integration connects via OAuth with read-only access. Choose from 10 pre-built metrics across campaigns, flows, and audience growth. Pair it with Shopify, Google Ads, or any of your other connected sources for the full picture.

Available on all paid plans. Start a free trial or view pricing.

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