Build decision-ready dashboards for GA4, CRM reporting, ecommerce analytics, customer behavior, revenue attribution, forecasting direction, and automated reporting workflows.
Numbers alone do not create clarity. Clean tracking, connected tools, and decision-focused reports turn data into action.
Teams compare screenshots, exports, and disconnected dashboards.
Business Impact: Slow decisions and inconsistent reporting. Analytics Fix: Create connected KPI views from the systems that matter.Events, conversions, and source data are incomplete or confusing.
Business Impact: Marketing performance becomes hard to trust. Analytics Fix: Review GA4, GTM, events, conversions, and report definitions.Forms, calls, WhatsApp clicks, bookings, and sales actions are not measured.
Business Impact: Traffic grows without knowing what converts. Analytics Fix: Map the actions that matter and send them into dashboards.Lead sources, stages, follow-up activity, and sales results do not align.
Business Impact: Sales quality is difficult to evaluate. Analytics Fix: Clean CRM fields and connect sales pipeline reporting.Campaign reports show leads, but sales systems show different outcomes.
Business Impact: Budget decisions become guesswork. Analytics Fix: Create consistent source, stage, and outcome reporting.Reports take hours to prepare and often become outdated quickly.
Business Impact: Time is wasted on formatting instead of decisions. Analytics Fix: Automate recurring dashboards and summary reports.Stakeholders track too many metrics without knowing the priority.
Business Impact: Important issues stay hidden. Analytics Fix: Define KPIs tied to revenue, leads, retention, or operations.Beautiful reports still fail when they do not explain what to do next.
Business Impact: Teams see data but lack direction. Analytics Fix: Add insight summaries and recommended action panels.Hover or click a data node to see what it captures, how it is checked, and which business decision it supports.
Each dashboard widget should explain what is happening, why it matters, and which action needs attention.
Tracks sales value by channel, period, product, or pipeline.
Shows whether growth is coming from the right sources.Tracks enquiries, forms, calls, WhatsApp clicks, and bookings.
Connects traffic with real business demand.Tracks the percentage of users who complete key actions.
Reveals page, CTA, and funnel quality.Tracks acquisition efficiency from paid and organic sources.
Helps compare spend against lead quality.Tracks the estimated cost to acquire a customer.
Supports budget and profitability decisions.Tracks customer value across repeat orders or retained accounts.
Supports retention and segment planning.Tracks stages, follow-up, won/lost direction, and source quality.
Links marketing efforts with sales results.Tracks which channels drive useful actions and revenue.
Guides content, ads, and SEO priorities.Tracks pages, clicks, scroll depth, and user paths.
Shows what attracts or loses attention.Tracks trend direction across core KPIs.
Keeps leadership aligned on momentum.Best for: Websites that need reliable event tracking.
What we configure: GA4, GTM, events, conversions, internal filters.
Tools involved: GA4, Tag Manager, Looker Studio.
Business result: Clearer traffic and conversion reporting.
Track the actions that support decisions.Best for: Lead and sales funnels with missing measurement.
What we configure: Forms, phone clicks, WhatsApp clicks, bookings, purchases.
Tools involved: GA4, GTM, CRM, ecommerce tools.
Business result: Know which actions turn into leads or sales.
Prioritize high-intent actions.Best for: Teams that need clean reporting views.
What we configure: KPI cards, charts, filters, trend panels, source views.
Tools involved: Looker Studio, GA4, Sheets, CRM exports.
Business result: Decision-ready dashboard instead of raw tables.
Make data easier to review.Best for: Sales teams with unclear lead quality.
What we configure: Lead source, stage, owner, response time, outcomes.
Tools involved: HubSpot, Salesforce, Pipedrive, GoHighLevel.
Business result: Connect marketing to sales pipeline clarity.
See which sources create useful opportunities.Best for: Stores that need product and revenue clarity.
What we configure: Product views, cart events, purchases, repeat buyers.
Tools involved: Shopify, WooCommerce, GA4, Stripe.
Business result: Understand revenue by product, category, and channel.
Improve funnel and product decisions.Best for: Businesses comparing channel performance.
What we configure: UTMs, landing pages, source/medium, CRM outcomes.
Tools involved: GA4, CRM, ads, dashboards.
Business result: Trace traffic source to action and pipeline direction.
Reduce guesswork in budget decisions.Best for: Lead-based businesses with multi-stage sales.
What we configure: Lead steps, status movement, close direction, lost reasons.
Tools involved: CRM, forms, call tracking, dashboards.
Business result: Find drop-offs in the sales process.
Focus sales effort where value is highest.Best for: Sites with unclear user intent.
What we configure: Top pages, CTA clicks, journeys, device patterns.
Tools involved: GA4, Hotjar-style insights, dashboard tools.
Business result: Understand what users do before converting.
Improve content and UX decisions.Best for: Teams connecting multiple tools.
What we configure: Source mapping, cleaning, validation, reporting tables.
Tools involved: Sheets, Airtable, BigQuery, APIs.
Business result: Prepare cleaner data for dashboards and reports.
Make reporting repeatable.Best for: Teams spending too much time preparing reports.
What we configure: Scheduled reports, summaries, alerts, stakeholder views.
Tools involved: Email, Slack, Looker Studio, automation tools.
Business result: Reduce manual report work.
Deliver consistent insights.Best for: Businesses with enough history for trend direction.
What we configure: Seasonality, demand direction, churn risk, forecast panels.
Tools involved: Dashboards, data sources, modeling tools where suitable.
Business result: Use history to support planning.
Forecasts remain directional, not guaranteed.Best for: Reports that conflict or feel unreliable.
What we configure: Missing fields, duplicates, naming standards, tracking gaps.
Tools involved: GA4, CRM, Sheets, dashboard audit.
Business result: Improve trust in reports.
Better data quality supports better decisions.A useful analytics setup maps user actions to events, conversions, dashboards, and business follow-up.
Main KPIs: Revenue, pipeline, growth direction, priority risks
Chart preview: Executive scorecard with trend lines and key decisions
Insight summary: One page summary for leadership with action-focused notes.
Reporting frequency: Monthly or weekly executive review
Main KPIs: Traffic source quality, campaigns, landing pages, conversions
Chart preview: Channel chart, UTM table, and conversion path view
Insight summary: Improve spend allocation, content focus, and CTA priorities.
Reporting frequency: Weekly campaign review
Main KPIs: Lead stages, response time, closed/won direction, lost reasons
Chart preview: Pipeline board with stage movement and source quality
Insight summary: Connect lead generation to sales outcomes and follow-up quality.
Reporting frequency: Weekly sales review
Main KPIs: Revenue, product performance, cart flow, checkout drop-off
Chart preview: Product and funnel dashboard with source attribution
Insight summary: Find product, collection, checkout, and retention opportunities.
Reporting frequency: Weekly or monthly
Main KPIs: Behavior, repeat visits, top questions, device/location signals
Chart preview: Journey map, segment cards, and engagement signals
Insight summary: Understand what customers need before they convert.
Reporting frequency: Monthly insight review
Main KPIs: Tasks, support load, reporting quality, workflow health
Chart preview: Operational KPI board with alerts and workload indicators
Insight summary: Reduce manual work and improve operational visibility.
Reporting frequency: Weekly operations check
Attribution depends on accurate tracking setup, clean CRM data, and consistent source capture.
Sales analytics should show where leads come from, how they move, and what actions support better follow-up.
Analytics is more useful when fields, events, definitions, and access rules are documented clearly and configured with privacy and permission requirements in mind.
Forecasting is directional and depends on data quality, history, and business context.
This planning tool uses your reporting workload and data complexity to suggest a first analytics priority. It does not predict guaranteed revenue.
Recommended dashboards: Revenue, product, cart, checkout, repeat customer dashboard
Data sources: GA4 ecommerce, Shopify/WooCommerce, Stripe, ads, email platform
Tracking setup: Purchase events, product IDs, cart actions, source data
Reports needed: Funnel, product, revenue, retention, and channel reports
Build This Analytics DashboardRecommended dashboards: Trial activation, demo booking, user behavior, churn risk dashboard
Data sources: App events, CRM, website, billing, email automation
Tracking setup: Signup, activation, usage events, plan status
Reports needed: Conversion, activation, cohort, and support insights
Build This Analytics DashboardRecommended dashboards: Call, form, WhatsApp, booking, local channel dashboard
Data sources: GA4, GSC, CRM, call tracking, forms
Tracking setup: Service enquiries, locations, sources, appointment flow
Reports needed: Lead source quality, local page performance, conversion actions
Build This Analytics DashboardRecommended dashboards: Appointment, channel, enquiry, location dashboard
Data sources: Booking system, GA4, CRM, call/forms
Tracking setup: Appointment requests, source, service interest
Reports needed: Booking funnel, location visibility, follow-up status
Build This Analytics DashboardRecommended dashboards: Lead source, property interest, agent pipeline dashboard
Data sources: Website forms, CRM, ads, listing pages
Tracking setup: Buyer/seller intent, property type, budget signals
Reports needed: Pipeline, enquiry quality, location demand, follow-up clarity
Build This Analytics DashboardRecommended dashboards: Matter enquiry, lead source, consultation request dashboard
Data sources: Forms, CRM, phone tracking, landing pages
Tracking setup: Practice area, urgency, source, consultation stage
Reports needed: Lead quality, practice page conversion, intake status
Build This Analytics DashboardRecommended dashboards: Course enquiry, application funnel, campaign dashboard
Data sources: Website, CRM, forms, ads, email
Tracking setup: Program interest, application stage, source
Reports needed: Admissions funnel and campaign performance
Build This Analytics DashboardRecommended dashboards: Client campaign, reporting, pipeline, delivery dashboard
Data sources: GA4, ads, CRM, project tools, Looker Studio
Tracking setup: Client KPIs, leads, campaigns, tasks
Reports needed: Automated reporting and decision-ready client dashboards
Build This Analytics DashboardRecommended dashboards: Pipeline, attribution, content, sales cycle dashboard
Data sources: CRM, website, webinars, forms, LinkedIn/ads
Tracking setup: Lead source, intent, company, stage
Reports needed: Channel quality, content influence, sales pipeline visibility
Build This Analytics DashboardRecommended dashboards: Bookings, service demand, repeat customers, campaign dashboard
Data sources: Booking system, website, CRM, socials, email
Tracking setup: Service enquiries, bookings, location, customer segment
Reports needed: Booking flow and retention insights
Build This Analytics DashboardRecommended dashboards: Enquiries, destination demand, booking funnel dashboard
Data sources: Website, forms, CRM, ads, booking tools
Tracking setup: Destination, budget, dates, source
Reports needed: Inquiry quality, package performance, conversion paths
Build This Analytics DashboardRecommended dashboards: Calls, quotes, job requests, service area dashboard
Data sources: Forms, CRM, call tracking, local pages
Tracking setup: Service type, postcode, urgency, source
Reports needed: Lead quality, area demand, response and booking flow
Build This Analytics DashboardReview current analytics tools, dashboards, reports, CRM fields, ecommerce data, and tracking issues.
Deliverable: Audit notes and data source inventory.Approval checkpoint: Confirm priority systems and access.Define the metrics that matter for leadership, marketing, sales, ecommerce, or operations.
Deliverable: KPI map and reporting purpose.Approval checkpoint: Approve dashboard questions.Map events, conversions, UTMs, data fields, source capture, and reporting definitions.
Deliverable: Tracking architecture plan.Approval checkpoint: Approve event and conversion list.Connect approved data sources into dashboards or reporting tables with quality checks.
Deliverable: Connected sources and validation notes.Approval checkpoint: Validate sample data.Build visual KPI dashboards, charts, tables, filters, insight summaries, and decision panels.
Deliverable: Dashboard draft and user view.Approval checkpoint: Approve dashboard layout.Configure recurring reports, stakeholder views, email/slack alerts, or action summaries where suitable.
Deliverable: Automated reporting plan.Approval checkpoint: Approve schedule and recipients.Review trends, gaps, tracking issues, and improvement roadmap.
Deliverable: Insight review and roadmap.Approval checkpoint: Agree next optimization priorities.Trigger/problem: Missing events and conversion clarity.
Data sources: GA4, GTM, website actions.
Dashboard logic: Events, conversion flags, source capture, dashboard view.
Tools connected: GA4 + Looker Studio.
Insight produced: Shows which actions are driving leads or sales.
KPI tracked: Conversion actions tracked.Trigger/problem: Store wants revenue and funnel visibility.
Data sources: Shopify/WooCommerce, GA4, Stripe.
Dashboard logic: Product, cart, checkout, purchase, channel views.
Tools connected: GA4, ecommerce platform, dashboard.
Insight produced: Supports product and checkout decisions.
KPI tracked: AOV, revenue, funnel drop-off.Trigger/problem: Sales team cannot see source and stage quality.
Data sources: CRM, website forms, call tracking.
Dashboard logic: Lead sources, stages, owners, outcomes, follow-up.
Tools connected: HubSpot/Pipedrive/GoHighLevel.
Insight produced: Clarifies lead quality and pipeline movement.
KPI tracked: Qualified leads and stage movement.Trigger/problem: Campaign decisions lack source clarity.
Data sources: Ads, GA4, CRM, landing pages.
Dashboard logic: UTM standards, source mapping, lead outcome view.
Tools connected: GA4, CRM, Looker Studio.
Insight produced: Supports channel and budget decisions.
KPI tracked: Source to lead quality.Trigger/problem: Users visit but do not convert clearly.
Data sources: Website behavior, GA4 events, page paths.
Dashboard logic: Journey view, drop-offs, high-intent pages.
Tools connected: GA4 and dashboard tools.
Insight produced: Supports UX and content improvements.
KPI tracked: CTA clicks, form starts, path quality.Trigger/problem: Manual reports take too much time.
Data sources: Dashboard sources and KPI definitions.
Dashboard logic: Scheduled summary, trend notes, action list.
Tools connected: Looker Studio, email/slack workflow.
Insight produced: Keeps leadership aligned with less manual work.
KPI tracked: Report delivery and decision actions.Best for: Best for lead and sales clarity.
What it fixes: Missing actions, forms, calls, bookings, and purchases.
Data/tools needed: Website actions, GA4, GTM.
Map key events and conversions first.Best for: Best for leadership visibility.
What it fixes: Unclear business metrics and scattered reports.
Data/tools needed: Core KPIs, data sources, stakeholders.
Build one executive dashboard.Best for: Best for lead quality and sales pipeline.
What it fixes: Unclear source, stage, and follow-up quality.
Data/tools needed: CRM fields, pipeline stages, sources.
Clean source/stage reporting.Best for: Best for stores with checkout friction.
What it fixes: Cart drop-off, product performance, revenue clarity.
Data/tools needed: Ecommerce platform, GA4, Stripe.
Track product-to-purchase flow.Best for: Best for budget decisions.
What it fixes: Source quality and campaign performance confusion.
Data/tools needed: UTMs, CRM, ads, GA4.
Standardize source capture.Best for: Best for teams wasting time on reporting.
What it fixes: Manual reporting and delayed visibility.
Data/tools needed: Dashboard views, recipients, schedule.
Automate one recurring report.Clean KPIs and useful dashboards matter more than endless numbers.
GA4 needs proper events, conversions, source tracking, and dashboard interpretation.
Good reports must answer business questions and guide action.
Forecasts are directional and depend on data quality and context.
Data Analytics can include KPI strategy, tracking setup review, GA4 and Google Tag Manager configuration, CRM and ecommerce reporting, dashboard design, automated reports, data quality checks, and documentation.
Yes. We can review or configure GA4 and Google Tag Manager events, conversions, source tracking, and dashboard-ready reporting structures.
Yes. We can design Looker Studio dashboards around executive KPIs, marketing performance, sales pipeline, ecommerce revenue, customer behavior, and automated report views.
Yes. CRM reporting can be mapped for lead source, sales stage, follow-up activity, revenue direction, lost reasons, and lead quality.
Yes. Ecommerce dashboards can include product views, add to cart, checkout, purchase, average order value, cart abandonment, category performance, and revenue by channel when the data is available.
Yes. Reports can be automated through dashboard refreshes, scheduled emails, Slack-style alerts, and recurring insight summaries depending on tool access and data quality.
Yes. We help translate business goals into measurable KPIs so reports answer real questions instead of showing disconnected numbers.
We can review naming, events, UTMs, duplicate records, missing fields, CRM mapping, and reporting definitions. Some cleanup depends on tool access and historical data limitations.
Yes. Common sources include GA4, Search Console, CRM tools, ecommerce platforms, ads platforms, Google Sheets, Airtable, databases, and dashboard tools.
The first dashboard should usually track the highest-value business decision: leads, sales, bookings, ecommerce revenue, channel quality, or executive KPIs.
Monthly support can include dashboard reviews, tracking issue checks, report updates, KPI recommendations, and ongoing optimization planning.
Yes. A focused dashboard is often the best first step when a business needs clarity without rebuilding every tracking system at once.
Share your current reporting problem and we will identify the best first dashboard, tracking setup, or data connection priority.
