160+ Hours Saved Monthly with Automated Reporting

160+
Analyst Hours Saved Monthly Through Reporting Automation

About

PointStory is a boutique ecommerce agency based in Poland. The firm helps consumer brands grow their presence on Amazon through tailored performance marketing, data insights, and strategy execution.

Saras is the go-to solution for anyone seeking a comprehensive understanding of their business through data. With their ecommerce domain expertise and modest pricing, they deliver seamless solutions without any unexpected surprises.
Leszek Lekstan
Co-founder, PointStory

The Outcomes

  • 160+ hours of analyst time saved every month
  • 70% reduction in BigQuery data warehouse cost
  • Faster campaign and keyword performance analysis
  • More impactful discovery calls supported by real time dashboards
  • Increased client satisfaction and agency scalability

    • ‍

    The Challenges

    • Analysts spent 3+ hours per client each week compiling reports
    • Data came from disconnected sources, slowing insight delivery
    • Off-the-shelf tools lacked the flexibility PointStory needed
    • Google BigQuery costs exceeded $1000 per month
    • No automated dashboards existed to support daily decisions

    The Solution

    Saras implemented Daton to centralize all client data from Amazon, Shopify, and ad channels into Google BigQuery.
    This enabled PointStory to:

    • Build custom Power BI dashboards per client
    • Automate daily refreshed reporting at SKU, campaign, and cohort levels
    • Monitor client performance in near real time
    • Optimize data models to reduce BigQuery costs from $1000 to $300 per month

    ‍

    Location
    Poland
    Industry
    Agency
    Goals
    Save time and reduce data infrastructure costs through reporting automation.
    Integrations
    Google BigQuery, Power BI , Amazon Seller & Vendor Central, Amazon Ads, Meta Ads, Google Ads, Shopify

    Must read Casestudies

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    160+ Hours Saved Monthly with Automated Reporting
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    20% Elevation in Paid Search & 1.7 X Social Attribution
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