Custom Looker Studio and Power BI dashboards connecting your ad accounts, CRM, and revenue data into a single, real-time decision layer — so leadership can act on facts, not feelings.
Business intelligence dashboards are the nervous system of a data-driven organisation. They surface the information leaders need to make good decisions — fast, accurately, and without the cognitive overhead of pulling data manually from multiple platforms.
The gap between businesses that grow efficiently and those that grow expensively is often not talent or budget — it is information quality. When you can see in real-time that your Meta Ads CPL has increased 40% in the last week, you can investigate and respond before significant budget is wasted.
At ClickFq Venture Labs, we build BI dashboards on Google Looker Studio, Power BI, and BigQuery — connecting every data source that matters to your business into a single decision-making layer that updates in real-time.
Marketing data in Google Ads, Meta Ads, GA4, CRM, and a spreadsheet. Pulling a weekly business review takes 3 hours of manual work.
Knowing your CPL is Rs400 is meaningless without knowing if that is improving or declining vs last month, or whether it is leading to revenue.
Most businesses know their total revenue but cannot attribute it by channel, campaign, or product. This makes it impossible to make rational budget decisions.
Sales says they generated 50 leads, marketing says they sent 200, finance sees 12 paying customers. Without a single source of truth, every meeting starts with a data argument.
API connections to Google Ads, Meta Ads, GA4, CRM, Shopify, and WooCommerce into a unified data layer.
Real-time dashboard showing spend, CPL, ROAS, revenue by channel, funnel conversion rates, and month-on-month trends.
Full-funnel attribution connecting ad spend to pipeline to closed revenue — showing actual CAC and ROAS by channel.
Working with your leadership team to define the 8-12 key performance indicators that actually matter for your business model.
Automated weekly email reports, anomaly alerts (e.g. CPL spikes above threshold), and custom report views for different stakeholder roles.
Data source audit, API access setup, KPI definition workshop, and data architecture design.
Dashboard design and development in Looker Studio or Power BI, data visualisation, interactivity setup, and stakeholder review.
Dashboard walkthrough, filter and date range training, automated report setup, and documentation for internal use.
An ecommerce brand was spending 3 hours every Monday manually pulling data from Google Ads, Meta Ads, GA4, and Shopify into a spreadsheet. We built a unified Looker Studio dashboard connecting all 8 data sources in real-time. Within 30 days, data-driven budget reallocation improved blended ROAS by 23%.
Results are client-specific. Past performance does not guarantee future results.
Google Looker Studio is the right choice for most Indian businesses — it is free, deeply integrated with Google's ecosystem (GA4, Google Ads, Search Console), and sufficient for the majority of marketing and business reporting requirements. For businesses with significant Microsoft ecosystem dependencies or requiring complex data modelling, Power BI provides more analytical depth.
Many Indian businesses still have incomplete or incorrectly configured GA4 implementations — missing key events, broken conversion tracking, or no connection between GA4 and Google Ads. A properly configured GA4 is the prerequisite for any meaningful marketing attribution. We audit and remediate GA4 configurations as a standard part of every analytics engagement. Server-side tracking via Google Tag Manager Server-Side, Meta's Conversions API, and enhanced conversions for Google Ads are configured in every engagement where accurate attribution matters.
For a typical Indian growth-stage business, the KPIs we recommend tracking are: Total revenue vs last month and same month last year, Revenue by channel, New customer count, Customer Acquisition Cost by channel, Blended ROAS, Lead volume by source, Lead-to-customer conversion rate, Average Order Value for ecommerce, Monthly Recurring Revenue for SaaS, and Net Revenue Retention. These 10-12 numbers reviewed every Monday morning provide the signal needed for good decisions without the noise of 50+ metrics competing for attention.