We build dashboards that give you a single, reliable source of truth across acquisition, onsite behaviour, conversion, retention and revenue. So every decision is grounded in real data, not assumptions.
We build dashboards that give you a single, reliable source of truth across acquisition, onsite behaviour, conversion, retention and revenue. So every decision is grounded in real data, not assumptions.
Data sources
Decisions
Looker · BI · Reports
KPI tracks
Data sources · Single source of truth · Dashboards · Actionable decisions
Most dashboards fail because data is inconsistent, tracking is broken, attribution is duplicated and KPIs are unclear. Everything looks important, so nothing gets acted on. Paid and organic data doesn't align. Amazon, Shopify and GA4 don't reconcile.
Bad dashboards cause wrong decisions, wasted budget and unclear performance. Qwrki builds dashboards that are operational tools, not vanity reports. A single source of truth that drives action, not paralysis.
Inconsistent data, duplicated attribution, no single source of truth. Beautiful charts that don't reconcile with real revenue. Nobody trusts the numbers, so nobody acts on them.
Validated data, clean attribution, unified revenue view across GA4, Shopify, ads and Amazon. Dashboards structured as operational tools. Decision-making, not decoration.
Reliable dashboards require
Revenue, orders, AOV, conversion rate, returning customer rate, MER and blended CAC, channel mix and forecast position where enabled. The top-level operating view of the entire digital engine in one screen.
SEO performance, Paid Search (Google), Paid Social (Meta, TikTok), Amazon Ads and campaign analysis. ROAS, CPA, CPC, impressions and click-through. Keyword and audience insights, all in one consistent view.
Funnel drop-off analysis, add-to-cart → checkout → purchase progression. Landing page performance, PDP interaction, site search behaviour, device and page speed performance. Identifying where revenue is being lost.
Product-level performance, category and collection analysis, variant and bundle insights. Pricing and margin analysis. Inventory and availability impact. Connecting commercial decisions to product data.
Cohort analysis, repeat purchase rate, customer lifecycle stage distribution, flow vs campaign revenue, retention curve and subscription metrics where relevant. Measuring the health of your customer base over time.
Customer lifetime value, RFM segmentation, product affinity insights and journey acceleration patterns. Multi-channel attribution models, first/last touch comparison, assisted conversions and incrementality signals. Understanding which activity is actually driving revenue.
Phase 01
Nothing gets built until tracking is accurate, events are correct, attribution is reliable, channels match real performance and revenue aligns across systems. Dashboards built on bad data produce wrong decisions.
Phase 02
We establish primary KPIs, secondary KPIs, leading indicators, channel metrics and business-critical numbers (AOV, CAC, MER, LTV) before any dashboard is designed. Measurement clarity precedes build.
Phase 03
We define dashboard templates, chart types, data relationships, attribution logic, filtering and segmentation. And the hierarchy from business view to channel view to detail. Structure first, visuals second.
Phase 04
We implement dashboards connecting GA4, Shopify, Amazon, ads platforms, CRM and third-party tools. Each data source is validated on connection. Revenue accuracy checked before dashboards go live.
Phase 05
We check calculations, attribution alignment, revenue accuracy and channel data correctness. Every number validated against source data before the dashboard is used for decisions.
Phase 06
Weekly usage, monthly performance reviews, dashboard refinements and new modules added as the OS evolves. Dashboards are living tools, not one-time deliverables.
Dashboards are the visibility layer of the OS. Connecting every data source into a single operational view that supports decisions across every module.
Analytics Dashboards
Analytics & Intelligence
Tracking
Clean event data and accurate attribution are the foundation. Dashboards are only as reliable as the tracking layer beneath them.
SEO
Organic performance, keyword demand and search visibility are measured in acquisition dashboards. Enabling paid and organic strategy to be coordinated.
Paid Search
CPC, ROAS, CPA and keyword-level performance feed acquisition dashboards. Providing the data for budget allocation and campaign decisions.
Paid Social
Creative and audience performance from Meta and TikTok feeds acquisition and attribution dashboards. Connecting spend to revenue contribution.
Email & Lifecycle
Flow and campaign revenue feed retention dashboards. Separating real email-attributed revenue from platform-inflated numbers.
CRM Setup
Segmentation, LTV and cohort data from CRM feeds retention and LTV dashboards. Giving a true picture of customer health and lifecycle value.
Amazon
ASIN performance, ad spend and BSR data feed eCommerce and acquisition dashboards. Enabling cross-channel revenue reconciliation.
eCommerce
Product, category and order data from Shopify feeds eCommerce and core business dashboards. Connecting commercial decisions to operational data.
A single source of truth. One place where all revenue, performance and behaviour data aligns.
Accurate, trustworthy performance data your team can build strategy on with confidence
Visibility across acquisition, onsite, retention and revenue in a connected hierarchy
Proper attribution. Separating channel contributions without double-counting.
Better decision-making from dashboards designed as operational tools, not vanity reports
Faster responses to performance changes. Issues visible in hours, not weeks.
Insights that improve efficiency and reduce wasted spend across every channel
A visibility layer that scales as your digital engine grows and adds new modules
Replacing a patchwork of platform reports, spreadsheets and conflicting numbers with one validated, unified dashboard that the whole team can operate from.
Reconciling revenue and conversion data across GA4, Shopify and ads platforms. Resolving discrepancies caused by attribution windows, double-counting and broken events.
Building board or investor-ready reporting. Clean, validated commercial KPIs that accurately represent performance without platform inflation or inconsistent attribution.
Creating dedicated channel dashboards that give each team or specialist a clear view of their performance metrics. Connected to the business-level view above them.
Building retention dashboards (cohort analysis, repeat purchase rates and LTV curves) so the business understands customer health as a commercial asset, not just traffic and conversion.
Creating a founder-level operating dashboard (revenue, margin, channel efficiency and retention health in one view) so commercial decisions are made on data, not instinct.
Get a dashboard audit and analytics architecture proposal for your business.
Talk to a humanPerformance evidence
Source requiredLCP, INP and CLS are published only from current field evidence. No field source is connected for this page.
Data sources
Decisions
Looker · BI · Reports
KPI tracks
Data sources · Single source of truth · Dashboards · Actionable decisions
Most dashboards fail because data is inconsistent, tracking is broken, attribution is duplicated and KPIs are unclear. Everything looks important, so nothing gets acted on. Paid and organic data doesn't align. Amazon, Shopify and GA4 don't reconcile.
Bad dashboards cause wrong decisions, wasted budget and unclear performance. Qwrki builds dashboards that are operational tools, not vanity reports. A single source of truth that drives action, not paralysis.
Inconsistent data, duplicated attribution, no single source of truth. Beautiful charts that don't reconcile with real revenue. Nobody trusts the numbers, so nobody acts on them.
Validated data, clean attribution, unified revenue view across GA4, Shopify, ads and Amazon. Dashboards structured as operational tools. Decision-making, not decoration.
Reliable dashboards require
Revenue, orders, AOV, conversion rate, returning customer rate, MER and blended CAC, channel mix and forecast position where enabled. The top-level operating view of the entire digital engine in one screen.
SEO performance, Paid Search (Google), Paid Social (Meta, TikTok), Amazon Ads and campaign analysis. ROAS, CPA, CPC, impressions and click-through. Keyword and audience insights, all in one consistent view.
Funnel drop-off analysis, add-to-cart → checkout → purchase progression. Landing page performance, PDP interaction, site search behaviour, device and page speed performance. Identifying where revenue is being lost.
Product-level performance, category and collection analysis, variant and bundle insights. Pricing and margin analysis. Inventory and availability impact. Connecting commercial decisions to product data.
Cohort analysis, repeat purchase rate, customer lifecycle stage distribution, flow vs campaign revenue, retention curve and subscription metrics where relevant. Measuring the health of your customer base over time.
Customer lifetime value, RFM segmentation, product affinity insights and journey acceleration patterns. Multi-channel attribution models, first/last touch comparison, assisted conversions and incrementality signals. Understanding which activity is actually driving revenue.
Phase 01
Nothing gets built until tracking is accurate, events are correct, attribution is reliable, channels match real performance and revenue aligns across systems. Dashboards built on bad data produce wrong decisions.
Phase 02
We establish primary KPIs, secondary KPIs, leading indicators, channel metrics and business-critical numbers (AOV, CAC, MER, LTV) before any dashboard is designed. Measurement clarity precedes build.
Phase 03
We define dashboard templates, chart types, data relationships, attribution logic, filtering and segmentation. And the hierarchy from business view to channel view to detail. Structure first, visuals second.
Phase 04
We implement dashboards connecting GA4, Shopify, Amazon, ads platforms, CRM and third-party tools. Each data source is validated on connection. Revenue accuracy checked before dashboards go live.
Phase 05
We check calculations, attribution alignment, revenue accuracy and channel data correctness. Every number validated against source data before the dashboard is used for decisions.
Phase 06
Weekly usage, monthly performance reviews, dashboard refinements and new modules added as the OS evolves. Dashboards are living tools, not one-time deliverables.
Dashboards are the visibility layer of the OS. Connecting every data source into a single operational view that supports decisions across every module.
Analytics Dashboards
Analytics & Intelligence
Tracking
Clean event data and accurate attribution are the foundation. Dashboards are only as reliable as the tracking layer beneath them.
SEO
Organic performance, keyword demand and search visibility are measured in acquisition dashboards. Enabling paid and organic strategy to be coordinated.
Paid Search
CPC, ROAS, CPA and keyword-level performance feed acquisition dashboards. Providing the data for budget allocation and campaign decisions.
Paid Social
Creative and audience performance from Meta and TikTok feeds acquisition and attribution dashboards. Connecting spend to revenue contribution.
Email & Lifecycle
Flow and campaign revenue feed retention dashboards. Separating real email-attributed revenue from platform-inflated numbers.
CRM Setup
Segmentation, LTV and cohort data from CRM feeds retention and LTV dashboards. Giving a true picture of customer health and lifecycle value.
Amazon
ASIN performance, ad spend and BSR data feed eCommerce and acquisition dashboards. Enabling cross-channel revenue reconciliation.
eCommerce
Product, category and order data from Shopify feeds eCommerce and core business dashboards. Connecting commercial decisions to operational data.
A single source of truth. One place where all revenue, performance and behaviour data aligns.
Accurate, trustworthy performance data your team can build strategy on with confidence
Visibility across acquisition, onsite, retention and revenue in a connected hierarchy
Proper attribution. Separating channel contributions without double-counting.
Better decision-making from dashboards designed as operational tools, not vanity reports
Faster responses to performance changes. Issues visible in hours, not weeks.
Insights that improve efficiency and reduce wasted spend across every channel
A visibility layer that scales as your digital engine grows and adds new modules
Replacing a patchwork of platform reports, spreadsheets and conflicting numbers with one validated, unified dashboard that the whole team can operate from.
Reconciling revenue and conversion data across GA4, Shopify and ads platforms. Resolving discrepancies caused by attribution windows, double-counting and broken events.
Building board or investor-ready reporting. Clean, validated commercial KPIs that accurately represent performance without platform inflation or inconsistent attribution.
Creating dedicated channel dashboards that give each team or specialist a clear view of their performance metrics. Connected to the business-level view above them.
Building retention dashboards (cohort analysis, repeat purchase rates and LTV curves) so the business understands customer health as a commercial asset, not just traffic and conversion.
Creating a founder-level operating dashboard (revenue, margin, channel efficiency and retention health in one view) so commercial decisions are made on data, not instinct.
Get a dashboard audit and analytics architecture proposal for your business.
Talk to a humanPerformance evidence
Source requiredLCP, INP and CLS are published only from current field evidence. No field source is connected for this page.
