Traffic Analysis
Maximize revenue and profitability with data-driven sales intelligence across all your digital channels.
The cost of disconnected data
If your ecommerce data lives disintegrated in multiple silos, you’re missing sales opportunities and losing money.
- Most ecommerce businesses struggle to unify sales data across channels and marketplaces
- Digital teams spend 4+ hours a week manually wrangling reports instead of acting on insights
- Key customer segments driving high-value purchases remain invisible
- 67% of merchandisers rely on gut instinct, not data, when planning inventory
- Emerging shopping trends go unnoticed until competitors have already capitalized on them
- Forecasting becomes guesswork, leading to overstock, stockouts, and missed revenue
WE UNIFY YOUR SALES DATA
Maximize sales and profits with a comprehensive ecommerce analytics solution
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Customer segment analysis
Identify which customer groups generate the most revenue and loyalty to enable targeted marketing and retention strategies.
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Channel efficiency mapping
Get visibility of the true performance of each digital sales channel, accounting for margins, returns, and operational costs to guide channel strategy.
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Seasonal readiness planning
Predict seasonal demand patterns with remarkable accuracy with advanced time series analysis for proactive inventory and marketing planning.
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Performance driver identification
Discover the specific factors that strongly influence your sales performance, from website features to fulfillment options.
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Regional opportunity detection
Leverage geographic analysis to reveal untapped markets and regions with high growth potential for your specific product categories.
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Ahead of your competitors
Compare your performance with industry standards and get data-backed strategies for improving key metrics through competitive benchmark insights.
benefits
Increase your ecommerce revenue
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Boost sales
Increase overall ecommerce revenue through optimized channel strategy and customer targeting
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Improve sales forecast
Get accurate insights from predictive analytics models specific to online shopping patterns
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Target precisely
Identify high-value customer segments with 3-4x higher lifetime value than average customers
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Save time
Reduce time spent on report generation by 75%
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Cut the guesswork
Make confident, data-backed decisions about marketing investment and inventory allocation
Our process step by step
What sets us apart
Ecommerce insight, not generic metrics
We connect the dots between sales data, marketing activities, customer behavior, and external influences. You get the full picture behind performance, not just the surface numbers.
Actionable, not overwhelming
We focus on insights that drive decisions, not dashboards packed with vanity metrics. Every analysis is built to support action, not just observation.
Tailored to your business model
We don’t use one-size-fits-all templates. Your analysis framework is custom-built around your ecommerce structure, customer lifecycle, and strategic priorities.
One view across every sales channel
We integrate data from marketplaces, ecommerce platforms, and marketing tools, giving you a unified, real-time view of what’s actually driving sales.
Insights built for impact
We pair ecommerce expertise with data science to deliver insights that don’t just describe what’s happening – they help shape what happens next.
Your questions
Our answers
Basic implementation takes 3-4 weeks, with full advanced analytics capabilities typically deployed within 8-10 weeks, depending on the complexity of your online sales environment and specific requirements.
No. Our approach complements your existing tools by adding advanced analytical capabilities and integrating data from multiple sources. We can deliver insights through your preferred visualization platforms including Power BI, Looker Studio, Tableau, or custom dashboards.
We support all major ecommerce platforms including Shopify, Magento, WooCommerce, BigCommerce, and custom solutions.
For basic analysis, 3-6 months of data is sufficient. For seasonal pattern detection and more sophisticated predictive models, we recommend 12-24 months of historical data. However, we can begin providing value with whatever data you currently have available.
Native platform analytics typically focus on basic reporting rather than advanced analysis. Our solution goes much deeper – connecting data across systems, applying sophisticated statistical models, identifying non-obvious patterns, and translating findings into specific strategic recommendations.
Absolutely. Our multi-touch attribution models connect sales back to their originating marketing channels, providing clear ROI measurement for each channel and campaign. This goes far beyond the last-click attribution typically used in standard analytics platforms.
We use a rigorous backtesting methodology, validating all predictive models against historical data before deployment. Models are continuously monitored for accuracy, with performance metrics transparently reported. As new data becomes available, models are automatically retrained to improve accuracy over time.
CONTACT US
Smarter sales decisions start here
Book free consultation
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