Data, Analytics and Reporting
Measurement frameworks, dashboards, and analytics infrastructure that tell you what is actually happening – and what to do about it.
Strategic Direction
The moment commitment begins
Positioning
The moment buyers hesitate
Build
The moment assumptions become systems
Momentum
The moment confidence drops
Scale
Where execution finally belongs
This capability sits at Scale and Growth.
Data that is not connected to commercial objectives produces reports, not decisions. The measure of a good reporting system is not what it tracks.
It is what it changes.
The Difference
Data is not the same as insight.
A business can have Google Analytics installed, a social media dashboard running, a CRM producing weekly reports, and a paid media platform generating performance summaries – and still not know whether the marketing is working or why growth is behaving the way it is.
The gap is almost always the same. The data exists but it is not connected to a commercial question. The reports describe activity – impressions, sessions, open rates, follower counts – without answering the question that matters: is the investment producing the commercial outcome it was designed to produce?
When measurement is built around commercial objectives, data becomes decision infrastructure. It tells you where the constraint is before you spend a quarter confirming it. It tells you which channel is producing qualified pipeline and which is producing noise. It tells you where the customer journey is working and where it is creating friction that shows up as churn six months later.
Qallann Marketing builds measurement frameworks around the commercial outcomes the business is trying to produce – not around what is easiest to track.
What we do
Measurement Framework Design
The foundation before any tool is configured. Defining the commercial questions the measurement system needs to answer, the metrics that genuinely indicate progress toward those questions, and the data sources required to produce them. Built before dashboards are designed or tracking is implemented – because a dashboard built around the wrong metrics produces confident reporting of the wrong things.
Market Intelligence and Sector Research
Structured research and data analysis that builds a picture of the commercial environment before decisions are made – or benchmarks the business’s current performance against sector norms.
What this includes:
Competitive positioning analysis
Examining how the business is positioned relative to competitors across search, paid media, content, and digital presence. Identifying gaps the business can occupy and spaces where competitors have established ground that is expensive to contest.
Sector benchmarking
Ccost-per-click benchmarks, cost-per-acquisition norms, engagement rates, conversion benchmarks, and the performance standards the business should be measuring itself against for its specific sector and market. Not generic industry averages – benchmarks drawn from comparable businesses in comparable markets.
Audience research and profiling
Structured research into the confirmed buyer’s online behaviour, platform presence, search patterns, and content consumption. Who they are, where they are, what they are looking for, and what the data says about how they make decisions.
Keyword and search landscape analysis
The full picture of what the confirmed buyer is searching for, at what volume, at what cost, and where the gaps and opportunities exist in the current search landscape before SEO or paid media investment begins.
Media cost and channel intelligence
Platform-specific cost data, audience availability, and channel performance benchmarks for the specific market and category. The data that informs media budget allocation before spend begins rather than after it has been optimised.
Positioning gap analysis
Examining where the market’s current positioning is clustered, where the gaps exist, and what the data says about the commercial opportunity in those gaps. The intelligence layer that feeds the Market Position Review and the Strategic Architecture work.
This work is often commissioned as part of a review engagement – the research layer that confirms or challenges the assumptions going into a strategic decision. It is also available as a standalone intelligence brief for businesses that need a specific market question answered before committing to a direction.
Google Analytics 4 (GA4) Setup and Configuration
Implementation, configuration, and customisation of GA4 for the specific commercial questions the business needs to answer. Event tracking, conversion configuration, audience definition, and custom reporting – set up correctly from the start rather than producing default reports that do not reflect how the business actually works.
UTM Architecture and Campaign Tracking
The naming convention and tagging structure that ensures every campaign, channel, and piece of content is attributable in analytics. Without a consistent UTM architecture, campaign data is fragmented and attribution is unreliable. With it, every marketing investment is traceable to its commercial outcome.
Pixel and Tag Implementation
Meta Pixel, Google Tag, LinkedIn Insight Tag, and any other tracking pixels required for paid media retargeting and conversion attribution – implemented correctly, tested, and verified through Google Tag Manager.
Google Tag Manager Setup
Centralised tag management that removes the dependency on developer involvement for every tracking change. GTM configured to support the measurement framework – with a clean container structure that does not accumulate unverified tags over time.
Social Listening and Monitoring
Tracking what is being said about the business, the category, and the competition across social platforms and the broader web – beyond what appears in the business’s own mentions and comments. Social listening surfaces signals about buyer sentiment, category trends, and competitive positioning that do not appear in standard analytics.
Search Listening and Intelligence
Search data tells you what buyers are actually looking for before they arrive at your door – the exact language they use when they have a problem, the questions they ask before they know which solution they need, and the gaps in the market that existing content and competitors are not yet addressing.
Search listening is distinct from SEO. SEO is the work of optimising for searches that have already been identified. Search listening is the upstream intelligence work – understanding the shape of demand in your category before deciding what to build, what to say, and what to rank for.
What it surfaces:
The language buyers use to describe their own problem
which is frequently different from the language the business uses to describe its solution. This gap, when it exists, explains why well-written content fails to attract the right audience and why well-targeted ads produce low conversion. The message is arriving in the wrong language.
The questions being asked at each stage of the buyer's decision
from early awareness through to active evaluation. Understanding which questions exist at which stage allows content, campaigns, and sales materials to meet buyers where they are rather than where it is convenient to reach them.
Category trends and emerging demand
search signals often surface shifts in buyer behaviour and market interest before they become visible in sales data or customer feedback. Businesses that read these signals early make better decisions about where to invest next.
Competitive gaps
the searches your competitors are not appearing for, the questions they are not answering, and the buyer intent they are leaving unaddressed. These are the entry points where a business can build presence with less resistance.
Search listening feeds into SEO strategy, content planning, campaign targeting, product and offer development, and positioning work. It is intelligence that makes every downstream investment more precise.
Dashboard Design and Build
Visual reporting built in Looker Studio, Power BI, or the platform that fits the business’s existing stack – designed around the commercial questions that matter, not around the default reports the platforms produce. Dashboards built for the person who needs to make decisions from them, not for the person who built them.
Attribution Modelling
Understanding which channels, touchpoints, and interactions are actually contributing to commercial outcomes – and in what proportion. This is the work that replaces “last click wins” attribution with a picture of how the buyer actually moved from awareness to decision.
Data Visualisation
Translating complex data sets into visual formats that make the commercial story clear – for internal decision-making, for board reporting, for investor presentations, and for any other context where data needs to communicate clearly to an audience that did not build it.
Marketing Analytics Audit
For businesses with existing analytics infrastructure that is producing reports nobody is acting on, data that does not match across platforms, or tracking that has accumulated errors over time. We examine what is installed, what is firing correctly, what is producing reliable data, and what needs to be rebuilt before any reporting can be trusted.
How the work runs
01
Commercial question definition.
Before any tool is touched, we confirm the commercial questions the measurement system needs to answer. What decisions will this data inform? What does progress look like? What would a good result versus a poor result tell us to do differently?
02
Audit and gap analysis.
We examine what currently exists – what is tracking, what is not, what is firing incorrectly, and where the data cannot be trusted. This is the step most implementations skip – and the reason most analytics setups produce unreliable data without the business knowing it.
03
Architecture design.
04
Implementation and testing.
Tools configured, tags deployed, events verified, and dashboards built. Every tracking implementation is tested before it is considered live. Pixels and tags are verified through Tag Manager and confirmed against the measurement framework.
05
Handover and training.
Every reporting system is only as useful as the ability of the team to read and act on it. Implementation includes a structured handover – what the dashboard shows, what the key metrics mean, and how to use the data to make the decisions it was built to inform.
WHO THIS SERVES
For the business owner making decisions from instinct rather than evidence
Not because the data does not exist – because the data that exists does not answer the questions that matter. A measurement framework built around commercial objectives changes that. It gives you the specific information needed to make the next decision from evidence rather than from the most recent conversation.
For the marketing lead who cannot connect marketing activity to commercial outcomes
When the reporting shows impressions, clicks, and open rates but not pipeline contribution and revenue attribution, the marketing function cannot defend its investment or direct it intelligently. A properly built measurement framework makes the commercial contribution of every channel visible – which makes the budget conversation easier and the optimisation decisions clearer.
For the business with data that does not match across platforms
Google Analytics says one thing. The CRM says another. The paid media platform says a third. Without a consistent UTM architecture and a clean tracking implementation, every platform is counting differently and attribution is meaningless. We resolve the discrepancy before producing reporting that can be trusted.
For the business preparing for investment or scale
Investors and boards do not want activity reports. They want evidence that the commercial model works – that the right inputs are producing the right outputs at a predictable rate. A properly built measurement framework produces that evidence in a format that supports the conversations the business needs to have.
Before the work begins
Measurement frameworks are built around confirmed commercial objectives. If the commercial objectives have not been confirmed – if the direction is still being examined or the positioning is unclear – the measurement system will track activity around an unconfirmed objective, which produces data without commercial meaning.
If the strategic foundation needs examining first, request the Strategic Direction Review.
If the foundation is sound, we build the measurement system.