Skip to main content

Analytics planning: the heart of a truly measurable digital strategy

Steven Elliott21 November 20133 min read
Analytics planning: the heart of a truly measurable digital strategy

Google Analytics is free and that’s a wonderful thing. But it does mean people can often undervalue the reports and the benefits that a truly structured approach to analytics brings to a business.

Sadly, more often than not, a developer or webmaster adds the default Google Analytics tracking code to a website and leaves it at that. Trawling through the reports to find any kind of insight is left up to an analyst or marketing executive – who, later, attempts to find some kind of meaning in this sea of data – without any understanding of the overall business strategy.

measurelab_cyclic_process

Having worked with companies of all sizes, I’ve consistently seen this lack of planning as a major roadblock to the success of an analytics implementation – which, in turn, affects the visibility you have around your digital strategy. Without an understanding of business goals and distilling these into KPIs that can be used to measure them, you have no targets – and you have no clarity on the way forward. To put it simply – analytics planning is at the heart of a truly measurable digital strategy.

At Measurelab we follow a tried and tested process that places a Measurement Framework at the centre of your digital strategies. This Measurement Framework is based on work from Stéphane Hamel’s research paper titled The Web Analytics Maturity Model, where we ask the following questions:

1) Overall business strategy

What is your business or organisation trying to accomplish? How does your website contribute to this?

2) Goals and objectives

What are the short and long term objectives to achieve the strategy?

3) Key business drivers

What are the important execution steps to meet the goals & objectives?

4) Key Performance Indicators

What measures of success are tied to the drivers?

5) Supporting metrics

What are the detailed measures that feed and augment the KPIs?

Working through these questions with you, we are able to develop a Measurement Framework for your digital strategy – consisting of Goals, KPIs, and Targets, among other things. With web analytics providing the basis for our insights and recommendations, we are then able to continually enhance your site based on these measurable objectives. This ongoing process should apply not only to the traditionally more marketing-led area of conversion optimisation but to your entire business strategy.

It is important to identify goals, with attributable value, throughout the site that reflect the business objectives. Typically these are “conversions” – like a lead acquisition or a sale – but can also be attributed to softer objectives, such as an improved user experience or increased perception of the brand. We call these Macro and Micro Conversions – where Macro Conversions often reflect revenue and Micro Conversions reflect more nebulous factors like “engagement”. By identifying measurable goals for all our business objectives, we can be sure to distilling the essence of your ongoing digital strategies into a Measurement Framework that is a point of continued reference for the evolution of your website.

So – get in touch today to talk about how we can help bring some structure to your analytics planning and start to see measurable success in your digital strategy and ongoing website enhancement.


Suggested content

Measurelab awarded Google Cloud Marketing Analytics Specialisation

At the start of the year, if you’d asked us whether Measurelab would be standing shoulder to shoulder with Europe’s biggest consultancies by September, we would've been surprised. Not because we don't believe in ourselves, but because these things feel so distant - until suddenly, they’re not. So, here it is: we’ve been awarded the Marketing Analytics Services Partner Specialisation in Google Cloud Partner Advantage. What’s the big deal? In Google’s own words (with the obligatory Zs): “Spec

Will Hayes11 Sept 2025

BigQuery AI.GENERATE tutorial: turn SQL queries into AI-powered insights

BigQuery just got a major upgrade, you can now plug directly into Vertex AI using the new AI.GENERATE function. Translation: your analytics data and generative AI are now best friends, and they’re hanging out right inside SQL. That opens up a whole world of new analysis options for GA4 data, but it also raises some questions: * How do you actually set it up? * What’s it good for (and when should you avoid it)? * Why would you batch the query? Let’s walk through it step by step. Step 1: H

Katie Kaczmarek3 Sept 2025

How to start forecasting in BigQuery with zero training

If you’d told me five years ago that I’d be forecasting product demand using a model trained on 100 billion time points… without writing a single line of ML code… I probably would’ve asked how many coffees you’d had that day ☕️ But its a brand new world. And it’s possible. Let me explain What is TimesFM? TimesFM is a new foundation model from Google, built specifically for time-series forecasting. Think of it like GPT for time, instead of predicting the next word in a sentence, it predicts t

Katie Kaczmarek14 Jul 2025