Covers Monday morning
One email on Monday morning, the whole business in view
The data and reporting assistant pulls numbers scattered across web analytics, ad dashboards, order systems, accounting sheets and social platforms into one place, compares the trend, and writes a conclusion you can read — not a wall of charts, but what happened this week and what to do about it.
Interactive
Scattered numbers into one report
Numbers across four systems
Scroll down — the animation follows
This service helps if any of these is your week
- You open three or four dashboards to see how business is doing
- You have data but can't read it, and finish none the wiser
- You can't tell which ad or channel actually produced sales
- You discover at month end that a product slipped weeks ago
If none of them lands, we will say so and point you somewhere more useful.
What you get
- Metric definitions — how each number is calculated and sourced
- Automated extraction and consolidation pipeline
- Report template — summary, trends, charts, recommendations
- Weekly or monthly automated delivery
- Anomaly alert rules
- First-month joint review to tune metrics and presentation
Typical scope: three to five data sources, two to three weeks to build plus a four-week trial. Source count, metric complexity and whether conversational querying is included drive the quote.
Scope
What it actually does
Automatic pulls from every source
Google Analytics 4, Google Ads, Meta Ads Manager, WooCommerce or Shopify orders, ledger sheets and social insights all pull automatically onto one shared timeline.
Trend comparison, not just a snapshot
Every metric compares against last week, last month and the same period last year, flagging the change and whether it exceeds normal variance. You learn whether an eight percent dip is noise or needs action.
Written conclusions and next actions
The report opens with three sentences: the week's most important change, the likeliest cause, the suggested next step. Charts sit behind for reference. Most people won't read ten pages of charts, but they will read three sentences.
Anomaly alerts
You don't wait for Monday. If a key metric moves sharply — ad cost spiking, traffic collapsing, orders dropping off — an alert goes out immediately so you act the same day.
Ask questions, get answers
It can run as a conversational interface: ask which product carried the best margin last month, or what a Facebook-sourced customer spends on average, and the system computes it from your own data — no formula building.
Your data stays in your accounts
Every source connects through accounts in your company's name, and reports generate inside your Google Workspace or a location you nominate. We keep no copy in our own systems.
Delivery
From first conversation to live
Every stage ends with something you can look at. You approve it before the next one starts, so you are never wondering how far along it is.
Name the three things you actually need to know
The commonest failure in reporting is too many numbers. We start by asking: if you could know only three things each week, which three? Everything else goes in an appendix.
Connect sources and define metrics
We connect the platforms and write down a definition for each metric. This matters more than it sounds — does “orders” mean paid or placed? With definitions fixed, the numbers mean something.
Build the report and trial it for four weeks
A four-week trial run, reviewed with you each week: is this number useful, is this conclusion accurate? We revise weekly until the report becomes something you genuinely read.
Automate and switch on alerts
Once the format is settled, delivery goes fully automatic and alert thresholds switch on. New metrics can be added any time — the report is meant to evolve with the business.
FAQ
What people ask before we quote
Yes, but the parts need separating. Anything already digital — analytics, ad platforms, orders, electronic ledgers — automates cleanly. For handwritten data or figures that live in a colleague's head there are two options: design a minimal daily entry form that takes thirty seconds on a phone, or simply leave that number out if it isn't decision-critical, rather than adding work to complete a set. We'd rather a report carried five accurate numbers than fifteen where three are guesses.
Treat them as leads worth checking, not instructions to follow. AI is good at spotting patterns and anomalies — that Thursday afternoons convert consistently below other slots, or that an ad set's cost rose while clicks held, suggesting more competition. Those observations are genuinely useful. But it doesn't know your industry's backstory, your supplier situation or your customer relationships, so the judgement stays yours. We lay reports out with observed facts and inferred suggestions visibly separated, so speculation never reads as conclusion.
Those are dashboards — you open them and interpret them yourself. They're powerful, and if you have the time and habit to check regularly they're genuinely enough; we'll tell you so rather than sell you something extra. What this service adds is push and translation: the report comes to you, with numbers rendered into written conclusions and suggestions. It suits owners who know they should look at data but in practice open a dashboard twice a month. If you're someone who checks Looker Studio daily, you don't need us.
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Thirty minutes, and you will know what your process could save
You walk us through a normal day. We point at the three steps worth automating first. Take the list even if you never hire us.
- FreeThe first 30 minutes cost nothing and commit you to nothing.
- No pitchIf your process is not worth automating, we say so.
- 4 hoursReply time on any working day.
- 3 daysA written quote with the build fee and the monthly ceiling spelled out.