Dashboards
[Industry] client
- Starting point
- [Verified baseline]
- What we did
- [Summary of work]
- Outcome
- [Verified results with timeframe]
Marketing dashboards that show what's working at a glance
Most marketing teams spend hours each month copying numbers from different platforms into spreadsheets that nobody fully trusts. We build automated dashboards that combine your marketing and sales data into one clear, reliable view, designed around the decisions each person in your business needs to make.
The problem with most marketing reporting
Marketing data lives in many places: GA4, Google Ads, Meta, LinkedIn, Search Console, your email platform, your CRM and your sales or e-commerce system. Each shows its own version of events, with its own definitions and attribution rules.
So reporting often becomes a monthly ritual of exporting, copying and pasting. It takes hours, introduces errors, and produces a snapshot that's out of date by the time anyone reads it. Worse, different people pull different numbers, and meetings turn into debates about whose figures are right instead of what to do next.
A good dashboard fixes that. Data flows in automatically from each source, is cleaned and combined using agreed definitions, and is presented in a way that answers the key questions quickly. Everyone looks at the same numbers, updated daily, and time goes into decisions rather than data wrangling.
Signs you need better reporting
- Monthly reports take days to assemble.
- Leadership asks questions your reports can't answer.
- Marketing and sales disagree about lead numbers.
- Nobody can see cost per customer or return by channel.
- Reports are full of charts but lead to few decisions.
Who we build dashboards for
- Founders and leadership teams needing a clear view of marketing return.
- Marketing managers running several channels and agencies.
- E-commerce teams tracking revenue, margins and customer value.
- Sales and marketing teams aligning on pipeline.
- Agencies and franchise networks reporting across many accounts or locations.
- Finance teams reconciling marketing spend with outcomes.
Dashboards are part of our marketing analytics services and depend on the reliable data we set up through tracking and attribution.
Dashboards designed for decisions
A dashboard is only useful if people use it to act. That starts with understanding who will look at it and what they need to decide. A chief executive wants to know whether marketing is delivering profitable growth; a paid media manager needs to know which campaigns to scale or cut today.
So we design in layers. An executive view shows a handful of business outcomes, such as revenue or pipeline, customer acquisition cost and return on marketing spend, against targets and last period. Channel views break those results down by search, social, email and other channels. Operational views go into the detail needed for day-to-day optimisation.
Every chart earns its place by answering a specific question. We avoid vanity metrics without context, label everything in plain language, show comparisons and targets so numbers have meaning, and include short notes explaining definitions.
Dashboard design principles
- Start from decisions, not available data
- A few key metrics above the fold
- Targets and comparisons for context
- Consistent definitions across every view
- Clear labels and short explanations
- Filters for date, channel, market and product
- Fast loading, even with lots of data
- Readable on laptops and phones
Metrics we typically include
The right metrics depend on your business model. These are common starting points; every dashboard is tailored.
| Level | Lead generation businesses | E-commerce businesses |
|---|---|---|
| Business outcomes | Qualified leads, pipeline value, closed revenue | Revenue, orders, gross margin, new vs returning customers |
| Efficiency | Cost per qualified lead, customer acquisition cost | Return on ad spend, customer acquisition cost, marketing efficiency ratio |
| Channel performance | Leads and pipeline by channel and campaign | Revenue and return by channel and campaign |
| Website | Sessions, conversion rate by landing page, form completion | Conversion rate, average order value, checkout drop-off |
| Customer value | Lead-to-customer rate, deal size, sales cycle | Repeat purchase rate, customer lifetime value |
| Leading indicators | Branded search, engaged sessions, content engagement | Add-to-cart rate, email list growth, product views |
Choosing a dashboard tool
We recommend a tool based on your data sources, team skills, budget and existing systems.
| Tool | Strengths | Best suited to |
|---|---|---|
| Looker Studio | Free, integrates natively with Google products, easy sharing | Marketing teams using mainly Google tools; small to mid-sized data |
| Power BI | Powerful modelling, strong with Microsoft systems, enterprise governance | Organisations using Microsoft 365, finance and sales data |
| Tableau | Flexible, advanced visual analysis | Analyst teams exploring complex data |
| Warehouse plus BI tool | Data centralised in BigQuery or similar, then visualised | Larger data volumes, many sources and custom analysis |
Connecting non-Google platforms such as Meta or LinkedIn to Looker Studio usually requires a third-party connector or a data pipeline. We recommend reliable options and factor their cost into the plan.
Getting the data right
A dashboard is only as trustworthy as the data behind it. Before designing any charts, we check each source: is tracking accurate, are conversions defined consistently, do campaign names follow a pattern that allows grouping, and do CRM records carry the source of each lead?
For more complex setups, we bring data together in a data warehouse such as Google BigQuery. Automated pipelines pull data from each platform every day, transformation steps clean and standardise it, and the dashboard reads from a single, consistent model. This makes cross-channel views reliable and lets you keep history beyond platform limits.
Every metric gets a written definition in a data dictionary, so "lead", "customer" and "revenue" mean the same thing to everyone, from marketing to sales to finance.
Before launch, we reconcile dashboard figures against each source system, such as ad spend against platform invoices and revenue against your store or finance records, and document any expected differences, for example from refunds, taxes or attribution rules. That reconciliation is what turns a good-looking dashboard into a trusted one.
Common data sources
- GA4 and Search Console
- Google Ads, Microsoft Ads, Meta, LinkedIn
- Email and marketing automation platforms
- CRMs such as HubSpot, Salesforce and Zoho
- Shopify, WooCommerce and other stores
- Call tracking and booking systems
- Spreadsheets for targets and offline spend
Alerts, not just reports
Dashboards are great for regular reviews, but problems don't wait for the monthly meeting. A broken tracking tag, a disapproved ad, a checkout error or a sudden spike in costs can waste money for days before anyone notices.
We set up automated alerts alongside your dashboards. When key metrics move outside expected ranges, such as conversions dropping to zero, cost per lead jumping sharply, or a data source failing to refresh, the right person receives an email or message straight away.
Alerts are tuned to avoid noise. Too many false alarms and people start ignoring them, so we focus on the handful of signals that genuinely need a quick response, and review thresholds regularly as your data and seasonality become clearer.
Examples of useful alerts
- Conversions or leads fall to zero for a day
- Cost per result rises well above normal
- A data connector stops refreshing
- Spend exceeds daily or monthly budget
- Website traffic drops sharply
- Form or checkout completion rate falls
Common reporting mistakes we fix
- Dozens of charts that nobody reads or acts on.
- Platform-reported conversions added together and presented as totals.
- Metrics without targets or comparisons, so nobody knows whether a number is good.
- Different definitions of a lead in marketing and sales reports.
- Manual steps that break when the person who built the report is away.
- Dashboards built once and never updated as the business changes.
Business benefits of automated dashboards
- Hours saved every month on manual reporting.
- One trusted version of the numbers across marketing, sales and leadership.
- Faster decisions, with data updated daily instead of monthly.
- Clear accountability for spend and results by channel.
- Early warnings when performance or tracking changes.
Why choose MarquixAd for reporting dashboards?
Expertise
Analysts who understand both marketing and data engineering.
Strategy
Dashboards designed around the decisions your team makes.
Technology
Looker Studio, Power BI, BigQuery and reliable connectors.
Data
Data validated against source systems before launch.
Execution
Clean, documented builds your team can maintain.
Optimisation
Dashboards improved as questions and priorities change.
Reporting
Clear definitions and explanations built into every view.
Communication
Training so everyone can find the answers they need.
Scalability
From a single marketing dashboard to organisation-wide reporting.
Our dashboard process
We agree the questions and definitions before building anything.
Discovery
Who uses the dashboard, what they decide and which questions it must answer.
Data audit
Sources checked for accuracy, completeness and consistency.
Definitions
Metrics, targets and data dictionary agreed.
Data pipeline
Connectors, warehouse and transformations where needed.
Design and build
Wireframe first, then the working dashboard.
Validate and train
Numbers reconciled with source systems; team trained.
Maintain
Monitoring, fixes and improvements as needs change.
What you receive
| Deliverable | Details |
|---|---|
| Reporting requirements | Audiences, questions, metrics and targets documented |
| Data dictionary | Plain-language definitions for every metric |
| Data connections | Automated connectors or pipelines for each source |
| Dashboard | Executive, channel and operational views |
| Validation | Reconciliation of dashboard figures with source systems |
| Training and handover | Walkthrough session and user guide |
Relevant project experience
Selected dashboard projects will appear here, showing the data sources combined and the time and decisions they enabled.
Reporting dashboards: frequently asked questions
Want clearer reporting? Book a consultation.
What is a marketing dashboard?
An automated visual report that brings marketing and sales data from different platforms into one place, updated regularly.
How much does a dashboard cost?
It depends on the number of data sources, whether a warehouse is needed, connector costs and complexity. A Looker Studio dashboard on Google data costs much less than a warehouse-based build.
How long does it take to build?
Simple dashboards can be ready in a couple of weeks. Multi-source builds with data pipelines usually take several weeks.
Which tool should we use?
Looker Studio suits many marketing teams; Power BI suits Microsoft-based organisations; a warehouse plus BI tool suits complex data. We recommend based on your situation.
Can you include CRM and sales data?
Yes. Connecting CRM data is often what makes a dashboard truly useful, because it shows qualified leads, pipeline and revenue.
How often does the data update?
Usually daily, depending on the connectors and sources. Some sources can refresh more often.
Why don't dashboard numbers match platform reports?
Platforms use different attribution rules and definitions. We document the differences and use agreed definitions consistently.
Can our team edit the dashboard?
Yes. We build clean, documented dashboards and train your team to make changes.
Do we need a data warehouse?
Not always. For a few sources, direct connectors may be enough. Warehouses help with many sources, large volumes and long history.
Is our data secure?
Access is controlled by user permissions in each tool, and we follow the principle of giving people only the access they need.
Can you build dashboards for multiple locations or clients?
Yes, with filters or separate views for each location, brand or client, based on consistent definitions.
Do you provide ongoing support?
Yes. Optional support covers monitoring connectors, fixing issues and adding new views as your needs grow.
Stop assembling reports and start using them
Tell us what you report on today, and we'll suggest a better way.