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Reporting and dashboard tools centralise marketing and sales data, offering real-time insights and visual analytics to improve decision-making, track performance, and align teams around key metrics.
Short videos and plug-and-play templates teach you the full 14-week growth plan. Study when it suits you and launch the cycle at your own pace.
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Understanding where revenue really comes from is the difference between scaling what works and burning budget on noise. I have implemented analytics stacks for agencies and SaaS firms from €100 k to €2 m monthly revenue, and the same trio of tools comes up every time: Google Analytics for behavioural data, Google Tag Manager to fire events without code changes, and Databox to surface the numbers in dashboards that anyone can read. They are universal, well-documented, and it is easy to hire help if you get stuck.
Looker Studio (formerly Google Data Studio) is a free, cloud-based business intelligence tool that allows users to create interactive reports and dashboards with real-time data connections.
Google Tag Manager makes it easy to manage tracking tags without code, so you can move faster and keep your growth data clean and reliable.
Google Analytics is a free web analytics platform that provides insights into website traffic, user behavior, and marketing performance to help businesses make data-driven decisions.
Amplitude is a powerful product analytics tool that helps businesses understand user behavior, track key metrics, and optimise digital experiences.
I test every tool myself before recommending it. Some links are affiliate links—if you buy, I may earn a small commission at no extra cost to you. Learn more.
Analytics setups must respect privacy law or risk fines and lost trust. Confirm you can anonymise IP addresses, honour consent banners, and delete user-level data on request. Tag Manager should load only after consent; Databox must encrypt API tokens and limit user roles so raw data never leaks.
Executives need a one-page view of pipeline performance, not a maze of filters. Dashboards should auto-refresh, highlight targets versus actuals, and send scheduled snapshots by e-mail or Slack. If a question arises, the answer should be two clicks away, not buried in an export.
As spend climbs you will want cohort analysis, path exploration, and ad-to-revenue stitching. Ensure the tool can drill from campaign down to individual session and back again without rebuilding tags. Look for raw data export to BigQuery or a similar warehouse so analysts can run SQL when patterns look odd.
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Google Tag Manager makes it easy to manage tracking tags without code, so you can move faster and keep your growth data clean and reliable.
Learn which keywords, campaigns and ads are actually driving LTV (Lifetime Value). The first revenue attribution software tailored specifically to the needs of SaaS and subscription-based companies.
Insights and analytics tools help businesses track, measure, and optimise their marketing funnel by providing deep data insights, user behaviour analysis, and A/B testing capabilities.
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Website and landing page tools help businesses create high-converting web pages without needing extensive development resources. These platforms ensure your site is optimised for lead generation and performance.
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I’ve helped B2B service companies scale — not with random tactics, but with clear systems that align marketing and sales into one predictable growth engine. Built on 15 years of hands-on experience — helping teams move from random tactics to repeatable, scalable results.
15 years experience
1,500 marketers trained since 2015
Exited 6 companies
A tag manager is a small script you add once to your site. Inside its web interface you drop “tags” — snippets that fire when a visitor loads a page, clicks a button, or submits a form. Instead of asking a developer to hard-code every pixel, you open the tag manager, paste the tag, set a trigger, publish, and you are done. It is the control room for all marketing and analytics code.
A tag is the payload: the Google Analytics event, the LinkedIn insight pixel, the cookie-consent trigger, or a custom JavaScript function. Each tag listens for a specific action—page view, scroll depth, or click—and then sends data to its home platform. In practice a tag is nothing more than a few lines of code, but managed centrally it keeps your pages clean and load times low.
Analytics answers “why” by offering raw numbers and slice-and-dice tools. You drill into cohorts, compare time periods, and build funnels until you spot where prospects leak out. Reporting answers “what happened” in a fixed format—usually a PDF or scheduled email—so busy stakeholders can scan performance without opening a dashboard. Analytics is exploration; reporting is confirmation.
A dashboard is the real-time cockpit that sits between analytics and reporting. It pulls live figures—sessions, leads, pipeline—into one screen and auto-refreshes every few minutes. I keep a wall-mounted monitor on for the sales team: they see today’s demo bookings and marketing sees which campaign has already paid for itself. No one waits for the weekly slide deck to learn we are off target.
Attribution links a conversion back to its source so spend decisions are data-driven, not gut-driven. Tags collect click IDs and campaign parameters; analytics tools stitch them to deals; dashboards surface return on ad spend. When finance asks, “Which channel should we double next quarter?” you already have the answer.
Master these pieces—tag manager, clean tags, exploratory analytics, clear reporting, and live dashboards—and you move from arguing opinions to actioning facts.
