Squidmind

Tag: Scripts

  • Created an Advanced Looker Reports Structure: Elevating Data Insights with LookML and Interactive Dashboards

    A fast-growing business needed an advanced workflow to monitor key metrics across departments—something scalable, insightful, and automated.

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    The Problem

    • Business teams lacked real-time visibility into marketing, sales, and retention KPIs.
    • Manual reporting slowed operations and delayed strategic decisions.
    • Stakeholders relied on fragmented tools and spreadsheets, resulting in inconsistent data and executive summaries.

    The Solution

    • Custom LookML models & Persistent Derived Tables (PDTs)
    • Multi-source integration: Cross-platform data from GA4, Google Ads, Meta Ads.
    • Optimized queries and caching for enterprise-scale datasets (e.g., BigQuery).
    • Enabled business users to drill down, filter, and explore data.

    The Results

    • Automated weekly reporting, eliminating manual dashboard creation.
    • Real-time insights available on-demand.
    • Cross-functional alignment.

    “It was like having an on-demand data analyst hired in every department; interactive dashboards, dynamic filters, and always accurate data.”

    FAQs

    1. How do I optimize Looker reports for faster performance on large datasets?

    To speed up Looker reports on large datasets, use Persistent Derived Tables (PDTs), limit joins to only necessary fields, and leverage aggregate awareness. Connect Looker to a high-performance warehouse like BigQuery or Snowflake with proper indexing and partitioning. Also, avoid unbounded date ranges and use pre-aggregated tables for heavy calculations.

    2. What are best practices for building scalable LookML models?

    Scalable LookML models rely on clean semantic layers, consistent naming conventions, and modular view files. Use refinements instead of duplicating code, centralize calculated fields, and parameterize dimensions for reusability. Always control your LookML in Git to maintain consistency across teams.

    3. How can I create dynamic filters and parameters in Looker?

    Use Looker parameters combined with liquid templating to create interactive dashboards. This allows users to switch metrics, apply conditional formatting, or change aggregation types without editing the LookML model.

    4. How do I blend data from multiple sources in Looker?

    To blend data, create ETL pipelines in your warehouse to unify metrics before exposing them to Looker. Alternatively, use merged results in Looker for ad-hoc combinations.

    5. How can I automate Looker report delivery?

    Looker offers scheduling and alerting features that can send PDFs, CSVs, or links via email, Slack, or webhooks.
    For advanced automation, integrate with the Looker API to trigger reports programmatically or sync them with Google Sheets, marketing dashboards, or CRM platforms.

    6. How can I integrate AI or predictive analytics into Looker reports?

    Use BigQuery ML, Vertex AI, or other ML platforms to train predictive models and expose results back into Looker via SQL tables or PDTs.

    7. How do I use Persistent Derived Tables (PDTs) effectively in Looker?

    PDTs pre-compute complex queries and store them in the database for faster report loads. Best practices include scheduling rebuilds during off-peak hours, indexing key columns, and using trigger-based persistence to refresh only when source data changes.

  • Optimize eCommerce Campaigns with Google Scripts

    A fast scaling eCommerce brand needed a scalable solution to monitor campaign performance with alerts and triggers. We used Google Scripts to enhance their operations

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    The Problem

    • Managing over 40 campaigns 
    • No real-time alert system
    • No deviation control system 
    • Time to action longer than expected
    • Difficulty to evaluate performance in each campaign in real-time

    The Solution

    • Implemented Google Ads Scripts
    • Custom threshold triggering automatic email alerts
    • Deviation on CPA & CPL
    • Identification of under performing campaigns
    • Smart daily digest

    The Results

    • 90% reduction on manual checking time
    • 15% cost reduction on under performing campaigns
    • 10% increase in ROAS based on policies and budget alerts

    It was like hiring an operational analyst but automated and always on. It saved us hours of work and gave us an edge.

    FAQs

    1. How can eCommerce brands monitor campaign performance at scale?

    Fast-scaling eCommerce brands can monitor campaign performance by using automation tools like Google Apps Script. These tools help track KPIs, detect anomalies, and send real-time alerts, reducing manual workload and boosting responsiveness.

    2. What are the benefits of using Google Scripts for marketing performance tracking?

    Google Scripts automate repetitive task; enable custom triggers and alerts, and integrate directly with Google Sheets, Ads, and Analytics. Ideal for tracking multi-channel campaign data with minimal overhead.

    3. How do real-time alerts improve marketing operations for eCommerce businesses?

    Real-time alerts help marketing teams act quickly on underperforming campaigns or budget overruns. With automated notifications, eCommerce brands avoid revenue loss and optimize ROI more efficiently.

    4. Can Google Apps Script replace campaign tracking software?

    Yes, for many use cases, Google Apps Script can be a powerful and cost-effective alternative to traditional campaign tracking software. Especially for brands using Google Ads, Meta Ads, and Google Analytics.

    5. What is the best scalable solution for tracking marketing KPIs in eCommerce?

    Automated triggers use predefined rules (e.g., CPC > X, ROAS < Y) to scan campaign data and execute actions like sending emails or updating dashboards. Ensuring proactive campaign management.

    6. Why is automation essential for fast-scaling eCommerce marketing teams?

    Automation ensures consistency, speed, and accuracy in campaign monitoring. It helps lean teams manage large data volumes, scale operations smoothly, and stay agile in a competitive digital landscape.

    7. Which AI content detection tools integrate smoothly with Google Ads scripts for real-time checks?


    In short, while no tool integrates “out of the box”. You can connect any AI detection service with a public API to Google Ads Scripts for real-time checks with JavaScript.