Accurate data sitting in five separate platforms is still useless if nobody can read it. We build the reporting layer — Looker Studio dashboards, cross-channel views, and automated reports — that turns your tracking data into decisions.
24/7
Live Dashboards
10+
Data Sources Connected
1 View
All Channels
Accurate tracking is the foundation. But even with good data, most businesses are still flying blind because nothing turns that data into answers.
Google Ads says 71 conversions. GA4 says 40. Meta says 28. No one knows which number to trust, so every platform gets defended by the team that runs it.
Someone exports from Google Ads, pulls from GA4, opens the CRM, pastes everything into a spreadsheet — and does it again next week. That time should be spent on decisions, not assembly.
A campaign burns budget, a landing page conversion rate drops, a form stops submitting — and nobody notices until the monthly review because there are no live alerts.
A channel looks great on cost-per-lead. But three months later, those leads churn early and never buy again. Without LTV reporting by source, you're optimising toward the wrong thing.
The person who needs to make budget decisions doesn't live in GA4. They need a board-level view: spend, pipeline, and revenue — in one place, in plain English.
Pageviews, sessions, bounce rate — reported every week, never acted on. Good reporting surfaces the metrics that tie directly to a decision someone can make.
Every engagement ends with a live reporting system — not a PDF. Here's what that looks like.
Custom dashboards that connect every data source you care about — GA4, ad platforms, CRM, e-commerce — into a single live view. Built per audience: an exec sees spend and pipeline; a campaign manager sees CPL, ROAS, and CVR by ad group.
GA4 holds more insight than most businesses ever extract from it. We build custom funnel reports, cohort analysis, user journey paths, and audience segments that surface the behaviour patterns driving (or blocking) conversions.
Scheduled report delivery to inboxes, Slack alerts when KPIs go out of range, and anomaly detection that catches problems before they compound. The right person gets the right number without having to look for it.
We connect the platforms already sending you data so the full picture lives in one view — not split across tabs.
The hub. Site behaviour, conversion events, user journeys, and audience data — all feeding into your dashboards in real time.
Campaign spend, impressions, clicks, conversions, and ROAS — reconciled against GA4 so you know which number to act on.
Facebook and Instagram campaign performance alongside every other channel — no more defending Meta's self-reported numbers in isolation.
HubSpot, Salesforce, or a Google Sheet — connecting pipeline and closed revenue back to the campaigns and channels that generated it.
Shopify, WooCommerce, or custom — order value, product performance, and revenue by channel alongside your marketing spend.
Any platform with an API or data export — including NetSuite, Stripe, Microsoft Ads, LinkedIn Ads, and custom databases — via n8n middleware pipelines.
Every KPI tied to a decision someone can make — not a wall of numbers nobody acts on.
45.2K
Total Users
3,247
Conversions
7.2%
Conversion Rate
$127
Avg. Order Value
Reporting systems that changed how businesses understand and allocate their marketing spend.
A multi-channel business couldn't tell which campaigns drove high-value B2B orders vs retail purchases. We built a GTM + GA4 segmentation layer tagging every buyer by login status, order type, and industry — surfaced in a single Looker Studio dashboard.
Real-Time
Segment Tagging
+35%
B2B ROAS
1 Dashboard
All Segments
A service business had no visibility into which acquisition channels were producing long-term clients vs short-term ones. We connected the CRM to Google Sheets via Apps Script, tracked start and end dates per client, and built a Looker Studio dashboard showing LTV and churn by source.
4 Windows
LTV Periods
Fortnightly
Auto Sync
Channel
LTV Split
The difference between a dashboard that gets opened once and one that becomes the first thing your team checks on Monday
Every metric we include maps to a question someone in your business needs to answer. If a number doesn't drive a decision, it doesn't go in the dashboard — we cut the noise.
When every platform reports its own "conversions," someone spends half the meeting arguing about which number is right. We reconcile the data before it hits the dashboard so there's only one answer.
Platforms update their APIs. Data sources change. We build connections that are monitored and maintained — not a dashboard that quietly breaks three months after launch and nobody notices.
We'll audit your current reporting setup, identify what's missing, and show you exactly what we'd build — before you spend anything. No jargon, no commitment.
Everything you need to know about our analytics reporting services
Conversion tracking is the measurement layer — the technical work of getting data in accurately: GTM tags, GA4 events, server-side tracking, offline conversion imports. Analytics reporting is what you do with that data once it's flowing: building dashboards, reconciling cross-platform numbers, surfacing LTV by channel, and turning raw events into decisions. You need both, but they're different problems. Conversion tracking fixes "we're missing 30% of our conversions in Google Ads." Analytics reporting fixes "we have the data but nobody can read it, everything lives in five different tabs, and we're still making budget decisions based on gut feel." If you need the tracking foundation built or fixed, start at our conversion tracking page. If the tracking is solid and you need better reporting, you're in the right place.
We start with a brief: who uses this dashboard, what decisions do they make, and what questions does the data need to answer? From there we map your KPIs to data sources (GA4, Google Ads, CRM, e-commerce platform), design the layout around how each stakeholder actually reads information, and build the connections. Looker Studio connects to most platforms natively — for anything else (custom databases, NetSuite, less common ad platforms) we route data through n8n middleware into Google Sheets first. The result is a live dashboard with real-time or daily-refresh data, filterable by date range, channel, and segment. Shared via a link — no login needed, no software to install. We also build role-specific views where an executive sees revenue and ROAS at the top level, and a campaign manager can drill into ad group performance underneath.
Looker Studio connects natively to Google Analytics 4, Google Ads, Google Search Console, YouTube Analytics, Google Sheets, and BigQuery. For everything outside the Google ecosystem — Meta Ads, LinkedIn Ads, Microsoft Advertising, Shopify, WooCommerce, HubSpot, Salesforce, Stripe, and custom databases — we use connector tools or n8n automation pipelines to pull the data into Sheets or BigQuery first, then surface it in the dashboard. The practical result is that almost any platform you're using can be included. We've built dashboards combining NetSuite ERP revenue data with Google Ads performance, and law firm CRM pipeline with Bing Ads spend — if the data exists somewhere and there's an API or export, we can get it into one view.
Yes — and it's one of the highest-value reports we build. Cost-per-lead by channel is a useful signal, but it's incomplete: a channel that looks expensive on CPL can be far more profitable if it consistently produces clients who stay for 18 months. Conversely, a cheap CPL channel that generates 3-month churners is quietly destroying margin. We connect your CRM data to a reporting layer that tracks client start date, end date, revenue, and acquisition source. From that we build LTV windows (monthly, quarterly, 6-month, annual), churn rate, and revenue-per-client metrics split by channel — all in a Looker Studio dashboard your team can use without any analytics training. See the LTV & Churn Tracking case study for a real example of this build.
Yes. Looker Studio dashboards connected to GA4 and Google Ads refresh continuously, giving you live visibility into active users, current campaign spend, and ongoing conversions. Beyond passive dashboards, we configure automated alerts that push to email or Slack — for example: a notification when the site-wide conversion rate drops below a threshold, when a campaign's CPA exceeds budget, or when ad spend spikes unexpectedly mid-day. These alerts mean problems get caught within hours, not at the end-of-month review. For e-commerce businesses running sales events, this is particularly valuable: you can watch revenue, conversion rate, and add-to-cart rate update live and make mid-campaign adjustments while it still matters.
Reporting projects are scoped based on the number of data sources, the complexity of the dashboard build, and whether any custom middleware is needed to connect non-native data sources. There's no ongoing software cost for the GA4, Looker Studio, or Google Sheets stack — these are free tools. Your investment covers the build and configuration. We start every engagement with a free audit: we look at what data you already have, what reporting you need, and scope the project with fixed pricing before anything begins. Most builds — a multi-source Looker Studio dashboard with 3–5 data connections and automated reporting — are completed within 1–2 weeks. Clients who also use our Google Ads management receive dashboard setup as part of their campaign onboarding.
The dashboards that get ignored are built around what's easy to pull, not what drives decisions. They show pageviews, sessions, and bounce rate — metrics that are available by default — because nobody stopped to ask "what would you change based on this?" Dashboards that actually get used share a few properties: every metric maps to a specific decision someone in the business makes; they're built for the person reading them, not the person who built them; the signal-to-noise ratio is high (fewer, more important metrics, not everything); and they're live rather than requiring a manual export. We always start by mapping your KPIs to the decisions they should inform before we build anything. The questions we ask: "If this number went up, what would you do? If it went down, what would you change?" If there's no good answer, that metric doesn't go in the dashboard.
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About the Specialist
10+ years building analytics reporting systems with GA4, Looker Studio, and multi-source data pipelines for businesses across the US, UK, and EU. From data layer architecture to board-level dashboards — turning raw data into decisions that move budgets. 200+ projects delivered. Founder of Extra Large Marketing Digital, based in Rio de Janeiro.