SEO from $300/mo AI-powered, human-verified No agency markup Transparent platform included
/// e-commerce & dtc

Track every dollar from click to cash.

askotter connects your store, ad platforms, email tools, and payment system into one place. When revenue dips, you will know why in minutes. Agents adjust on their own as your catalog, traffic, and campaigns change.

6
avg. tools connected
< 2 min
to root-cause a drop
full-journey
attribution model
SH Shopify ST Stripe GA Google Analytics ME Meta Ads AD Google Ads KL Klaviyo +1 more DATA LAKE 7 sources Change Detection Root Cause Predictions Recommendations NLQ Chat
/// live monitoring

What askotter catches in real time.

checkout funnel · 7-day 12,847 visitors
Visitors
100%
↓ 58% drop
Add to Cart
42%
↓ 14% drop
Checkout
28%
↓ 4% drop
Purchase
24%
/// AGENT FEEDe-commerce & dtc
CRITCheckout conversion dropped 62% in 8 minutes. Stripe webhook timeout: 12.4s (normal: 0.3s). 41 failed transactions.3m
WARNMeta Ads CPA increased 23% vs 7-day avg. Frequency at 4.2x. Creative refresh recommended.18m
INFOOrganic traffic +340 sessions from new /blog/comparison-guide. 12 email signups attributed.1h
OKStripe webhook latency back to normal (0.3s). 41 recovery emails queued.1h
WARNCart abandonment spiked to 84% (avg: 68%). Shipping calculator showing $47 flat rate. Likely theme bug.2h
/// real-time response

Tuesday, 2:14 PM: checkout breaks on mobile

Revenue just dropped 34%. Nobody opened a dashboard. Here is what happened:

2:14 PM
Mobile checkout error rate spikes to 4.7% (normal: 0.3%)
CHANGE DETECTION
2:15 PM
Root cause identified: CSS theme update deployed at 2:11 PM broke Stripe element
ROOT CAUSE
2:16 PM
Impact estimate: $2,847/hr lost revenue. 41 abandoned carts queued for recovery
STRATEGY
2:18 PM
Engineering lead notified. Fix deployed by 2:42 PM. Recovery emails sent
ROUTING
/// before & after

What changes with askotter.

METRIC
BEFORE
WITH ASKOTTER
Checkout bug detection
Next weekly report
< 3 minutes
Attribution model
Last-click (platform)
Full-journey, cross-platform
Creative fatigue alert
Manual frequency check
Auto-flagged at threshold
Revenue forecasting
Spreadsheet from last year
Live data, updated hourly
/// who uses it

Built for every role on the DTC team.

Every role has different data needs. askotter shows the right information to the right person. No per-seat fees. No role-gating.

DTC Founder / CEO DTC Founder / CEO

Owns the P&L. Needs to know real ROAS, runway, and what to focus on this week. Makes budget calls across paid, organic, and product, often with conflicting numbers from every platform.

THE PAIN POINT

Meta says 3.1x ROAS. Google says 4.2x. Stripe says revenue is flat. Three dashboards, three different stories. Budget choices depend on whichever number came up last. There is no single source of truth.

Head of Growth / Marketing Head of Growth / Marketing

Manages ad spend across Meta, Google, TikTok, and email. Needs to know which creatives are getting stale and which channels actually lead to sales, not just clicks.

THE PAIN POINT

Creative fatigue goes unnoticed until ROAS drops. Attribution defaults to last-click, so the blog post that started the journey gets zero credit. Budget gets pulled from channels that actually feed the funnel.

E-Commerce Manager / Ops Lead E-Commerce Manager / Ops Lead

Runs the storefront. Owns checkout conversion, shipping, and customer experience. First to hear about broken checkouts, inventory issues, and shipping delays.

THE PAIN POINT

Checkout conversion dropped 0.8% on Tuesday. Was it the theme update? A Stripe timeout? A shipping calculator bug? Nobody knows until someone checks three tools by hand. By then, hundreds of carts are gone.

Email / Retention Marketer Email / Retention Marketer

Owns lifecycle flows: welcome series, abandoned cart, win-back, and post-purchase. Needs to tie email revenue to actual Stripe sales, not what Klaviyo self-reports.

THE PAIN POINT

Klaviyo says the welcome series drove $22K last month. Stripe says total new customer revenue was $18K. The numbers do not match because Klaviyo over-counts and cannot separate email sales from paid channel sales. Real email ROI is unknown.

/// why current tools fall short

What DTC teams use today and why it falls apart.

Most teams are not missing data. They are missing connections between their data. Here is why the tools you already have cannot close the gap on their own.

✕ NOT ENOUGH Shopify analytics
Shows sessions, conversion rate, and AOV. But Shopify does not know where traffic came from beyond UTM tags. It cannot tell you the checkout broke because of a theme update, or that the revenue dip lines up with a Stripe timeout. Shopify sees the store, not the whole system.
✕ NOT ENOUGH Meta / Google Ads dashboards
Each platform puffs up its own numbers. Meta claims conversions that Google also claims. Neither one accounts for the email that closed the deal. You end up paying for the same sale twice in reports and making budget choices on double-counted data.
✕ NOT ENOUGH Google Analytics (GA4)
Tracks sessions and events, but the switch to GA4 broke most custom reports. Attribution defaults to last-click. It cannot connect a website visit to a Stripe payment. The gap between "visitor" and "paying customer" is invisible.
✕ NOT ENOUGH Klaviyo / Mailchimp reporting
Email attribution is inflated by design. A customer who saw an email and then Googled your brand gets counted by both channels. No way to remove the overlap. You cannot tell if email drove the sale or just touched someone who was already going to buy.
✓ WHAT'S DIFFERENT WITH ASKOTTER

askotter does not replace your tools. It connects them. Every data source feeds one lake. Agents watch 24/7, spot changes, find root causes, and give you suggestions. Your team reviews every suggestion before it becomes an action. The tools you already have become much more useful when they can talk to each other.

/// DTC pain points

What DTC founders lose sleep over.

Attribution is broken
Meta says one thing. GA4 says another. Shopify says a third. You are making $50K/month ad spend choices based on numbers that don't agree.
Checkout drops are invisible
Conversion rate fell 0.8% last Tuesday. Was it the theme update? A payment error? Slow load times? Nobody knows until someone checks by hand.
Creative fatigue goes unnoticed
Ad frequency hits 4x before anyone catches it. By then you have wasted budget for days.
Seasonal patterns repeat but nobody learns
Last Black Friday's lessons live in someone's head, not in your system. Without saved notes and shared insights, every season starts from zero.
/// revenue metrics

The numbers that determine if you scale or stall.

True ROAS
2.8x cross-platform
multi-touch attributed
Checkout CVR
3.8% monitored real-time
anomalies flagged < 3 min
Revenue / Visitor
$4.72 30-day rolling
updated hourly
Ad Spend Efficiency
91% current score
tracked across platforms
connected tools
Shopify Stripe Google Analytics Meta Ads Google Ads Klaviyo HubSpot +50 more
/// the DTC stack

Click to cash. Every step tracked. Your team in control.

1

Connect all your tools

Shopify, Stripe, GA4, Meta Ads, Google Ads, Klaviyo. Every tool in one place. No CSV exports.

2

Spot changes right away

Revenue dropped? askotter traces it: checkout errors spiked at 2:14 PM, blocking 143 sales. A theme update went live at 2:11 PM.

3

Get real attribution

See the full customer path: Meta awareness, then Google brand search, then email, then Shopify purchase. Every step counted.

4

Predict and act

Creative fatigue spotted 3 days before ROAS drops. Budget changes suggested. Every suggestion reviewed by a person before it becomes an action. Save insights so the whole team learns.

/// ask your stack

Query Shopify, Stripe, and GA4 at once. Share what you find.

/// CHATaskotter
Why did revenue drop this week?
Down 23% since Tuesday. A checkout code change broke mobile payments. Mobile conversions went from 4.2% to 0.8%. Desktop was fine. 412 lost sales ($18.7K). Reverting the change brings back about $14K/day.
SOURCES: Stripe + Shopify + GA4 + GitHub
Which campaign drove the most revenue?
Meta retargeting "Summer Sale v3" brought in $47K. Google brand search: $31K. Meta helps 38% of Google sales happen too. Cutting Meta would hurt Google results.
SOURCES: Stripe + Meta Ads + Google Ads + Klaviyo
Is our checkout healthy?
Conversion rate: 3.8%. Cart to Checkout: 42% (below the 55% benchmark). Checkout to Payment: 89%. Payment to Confirm: 97.2%. The shipping cost reveal is where people drop off.
SOURCES: Shopify + Stripe + GA4
Ask anything about your e-commerce & dtc data. Save responses as notes to share. Ask

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/// other industries

Explore more verticals. Same human-in-the-loop approach.