The single source of truth for Shopify brands. Connect Meta, Klaviyo, and GA4 to AzLytics in 60 seconds. Stop guessing, start scaling.
No Credit Card Needed
Last 7 days vs Previous period
MER (Ratio)
4.82x
Ad Spend
$12,480
New Customers
1,294
Net Profit
$42,102
AI Insight: Creative Fatigue
High ImpactYour 'Spring Launch' campaign on Meta is seeing a 14% drop in CTR. Swap with 3 new UGC videos to recover 4.2% of conversion rate.
Every competitor leads with revenue and ROAS. AzLytics leads with profit. The first number you see is today's estimated contribution margin — not top-line revenue. Optimize for what actually hits your bank account.
Every morning, AzLytics generates a 90-second visual briefing — like an Instagram Story for your P&L. Swipeable cards, each one a single insight with a single recommended action. Know your business before you finish your coffee.
Drag sliders for each channel's budget and watch the AI project the impact on blended ROAS, CAC, and contribution margin. Test 'what if I move €5K from Meta to Google?' before you touch a single campaign.
AzLytics identifies high-intent visitors from your Meta and Google traffic who didn't convert and pushes them into Klaviyo flows automatically. Measurable recovered revenue, not just charts.
We're building three systems: a Monitoring Engine for continuous anomaly detection, a Simulation Engine for what-if budget planning, and a Narrative Engine that composes it all into visual stories you can act on in seconds.
"Path A: cut these 3 ad sets, expected ROAS recovery to 3.1x, risk is 8% top-of-funnel loss. Path B: swap creatives, expected ROAS to 2.8x, preserves volume. Which path?"
The only analytics platform that's profit-framed and decision-first.
AzLytics frames every metric around contribution margin. Your campaigns, your channels, your products — all evaluated by what actually hits your bank account.
Shopify brands spending €10K–€100K/month don't have a data analyst. You're too sophisticated for native stats but don't need €1,000/mo enterprise tools.
Built by someone who runs ads, builds data pipelines, and manages accounts daily. The roadmap is driven by real pain, not feature bloat.
Most analytics tools are dashboard-first and revenue-framed. AzLytics is the only platform that is both profit-framed and decision-first.
"Every competitor's response is either 'we do that too (but not really)' or requires a fundamental product rearchitecture to match."
Connect Shopify, Klaviyo, Meta, Google Ads, GA4, Amazon, and more.
THE OPERATOR ADVANTAGE
Top Rated Talent
80+ Projects Delivered
Daily Operator
Meta, Google, Amazon, Klaviyo
Data Expert
BigQuery, dbt, Airflow
Attribution
AppsFlyer, Adjust, SKAN
AzLytics is a profit-first Shopify analytics platform. It connects your store with all your marketing and sales channels — Klaviyo, Meta, Google, Amazon, GA4, and more — and gives you acquisition analytics, retention cohorts, true business ROAS, and contribution margin dashboards. But unlike other analytics tools, AzLytics doesn't just show you data and wait for you to interpret it. It delivers a daily visual briefing that tells you what changed, why it changed, and what to do about it — so you spend seconds getting answers, not hours studying dashboards.
Triple Whale is an AI-powered eCom OS with 75+ dashboards and agents. It's powerful — and it's a lot of work. Their AI is reactive. AzLytics flips that model. Our AI speaks first — every morning you get a visual briefing without asking a single question. We also frame everything around contribution margin and profit, not revenue and ROAS. Finally, Triple Whale is optimized for $10M–$100M brands. AzLytics is built for the €10K–€100K/month ad spend segment that's too sophisticated for Shopify analytics but doesn't need an enterprise platform.
Klar is a strong European analytics tool with solid GDPR compliance. But Klar has no AI layer at all. Their profitability data is a tab you navigate to — it's not the lens through which everything is presented. AzLytics makes contribution margin the first number you see. We also deliver proactive daily briefings, decision packages, and a what-if simulator — none of which Klar offers.
Polar is a data infrastructure play — Snowflake, MCP, etc. Excellent for data teams. But brands spending €10K–€100K/mo don't want a warehouse — they want answers. AzLytics is the anti-infrastructure tool: no Snowflake, no SQL, no data engineering. Connect and go.
It means every metric in AzLytics is presented through the lens of contribution margin, not top-line revenue. You don't just see 'ROAS 3.2x' — you see 'this campaign generated €12K revenue but €1.8K actual profit after COGS, shipping, and ad spend.' It reframes the entire product around what hits your bank account.
AzLytics's signature feature. Every morning, the AI generates a visual briefing — like an Instagram Story for your P&L. Swipeable cards, each one containing a single insight with a single action. You know the state of your business in 90 seconds without clicking a single dashboard.
An interactive what-if planning tool. Drag budget sliders for Meta, Google, TikTok, Amazon and see the AI project the impact on ROAS, CAC, and margin based on your last 90 days. Rehearse decisions before committing budget.
Suggestions with trade-offs. 'Path A: cut these 3 ad sets, expected ROAS to 3.1x, risk 8% volume loss. Path B: swap creatives, ROAS to 2.8x, preserve volume.' We present trade-offs, not just bullet points.
Shopify brands spending €10K–€100K/month on paid ads who don't have a dedicated data analyst. You need answers, not dashboards. You need a profit co-pilot, not a BI tool.
Both. Brands get a powerful dashboard. Agencies get a multi-store setup with dedicated dashboards per client. Every brand in its own clean environment.
AzLytics is currently in early access. No credit card is required to get started. Get in touch to learn more about our pilot programs and pricing.
Most brands are seeing data within an hour. Connect Shopify, link ad accounts, connect Klaviyo, and you're live. No data engineering required.
Get started and be among the first brands to use a profit-first, decision-first analytics platform.