Conversion rate
Share of funnel entrants who finish · target: 11%
1.1% to go
Less time in dashboards, fewer surprises. Each tool below answers one question you would otherwise dig for in your analytics.
Jump to a feature
You see visits and you see orders. What happens in between is a guess. Say what your site is for: buying, signing up, booking a call. The app reads the events your site already sends, lays out the path and names the step that loses the most people, with what it costs. Several funnels per site, each with its own history.
We'll suggest the most relevant things to measure.
E-commerce
Online stores, physical & digital products
Based on your events
SaaS
Software, web apps, subscription platforms
Lead Generation
B2B, agencies, consulting, local services
Content
Blogs, newsletters, media, communities
Pre-fill from your GA4 events · drag, remove, or add steps below
A wrong tracking setting quietly skews the numbers you decide on, and nothing warns you. Every report checks your setup and names each gap, with whose job the fix is: a setting in your analytics or a change on your site. Fix one and you unlock new data: revenue, campaigns, whole new chapters in your report. We email you the day one opens.
Grade C · 3 things to fix
2 are settings in Google Analytics you can change yourself. 1 is a change on your website.
▲ +12 · improvingPurchases arrive without the money on them
18 orders · $0 revenue
Your own domain counts as a referral
pay.northloom.com · 412 sessions
Ad visits arrive without a campaign tag
72% of paid visits
Most reports stop at the numbers. Every report here ends with two rows of notes: what to fix, in what order and what it's worth, and what to build on, like the channel or page that already does best. Code finds every task in your data; AI only words it. Once a test confirms a fix, the app ticks it off for you.
58% of visitors who view a product never reach the 2. Add to cart step, and phones, 61% of your traffic, do worst. Test a simpler, clearer product page against the current one. Google’s test of the page also found 2 design problems, listed separately.
The drop into this step vs 3 days earlier: ▼ +3pp · worsening
≈ $8,400 if mobile matched desktop's buy rate this period
Display returns the least of your campaigns: at the median campaign's return it would have brought back $1,240 more. Change its targeting or move its budget to a campaign that pays back.
You rank #8 for it with 5,063 clicks. The top 3 results get about 30% of the clicks, and you get 4%. A content push could bring 8× more visits.
every task and number above ↑ is calculated from your data, nothing is guessed. AI only translates them into plain language
A chatbot can sound sure about your traffic and still be wrong. This one answers only from your report, so every figure it cites is one you can check: which step, how many users, what it costs. On the dashboard it covers the whole project.
You redesign a page, change a price, move a button, and the numbers move. Was it you or the season? Mark the change as a new version, and your reports show conversion before and after, side by side. When your site changes, the app suggests a new version for you. If a change hurt, the next report shows it.
v1.4 converts 3.8pp higher. The new checkout step paid off.
You spent the budget. Did sales follow? Give a campaign a date window and a budget. The app measures it against the 30 days before and against your previous campaign: conversion, users, revenue, cost per conversion. Put any two side by side and get a plain verdict. When a campaign ends, its summary lands in your inbox.
Numbers go up and down. Without a target, it's hard to tell if a month was good. Goals set themselves from your report and show what to improve next: conversion, your biggest leak, visitors, your spot in Google, page speed and more. Every analysis checks whether your results improved. Hold a target over two analyses and the next tier opens a step higher. An email tells you the day it happens.
8 active · 5 achieved · 3 locked
Conversion rate
Share of funnel entrants who finish · target: 11%
1.1% to go
Biggest leak (add_to_cart)
Drop-off at the step that lost most people · target ≤ 47%
Was 55% when set · 11% to go below target
Average position
Average ranking in Google results · target ≤ 7
Into the top 7
Total users
Unique users in an analysis · target: 12000
Hit once. Hold it one more analysis
You won't open analytics every day, and you shouldn't have to. Your report lands in your inbox every week or month. An email comes when conversion drops, a search term reaches Google's page 1, a campaign ends or a goal is reached. Every Monday, one digest for all your sites. Any report can go out as a link or PDF, to your team or a client.
Most analytics tools start with a setup project. This one reads the data you already have, so there is nothing to install. Connect Google Analytics, pick your kind of site and click analyze. You watch each check land, from your funnel to page speed and SEO, and about a minute later you read the result.
Analyzing your site
78% complete · about 8 seconds left

Your numbers are your business. You connect through Google's own consent screen, read-only, for the one property you pick. We keep the finished report, never your raw data. Delete your account and everything goes with it.
Read-only access
Through Google's own consent screen, for the one property you pick. Revoke it any time.
Raw data never stored
Your data passes through. Only the finished report is saved.
Nothing runs on your site
No script to install and no new cookie banner.
Delete it all
Close your account and every report goes with it.
No ads. We never sell your data.
Connect your analytics and get your first report in about a minute. No card needed.
Works with Google Analytics, Search Console and Google Ads.
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