Sales Analysis

What is Sales Analytics?

Sales analytics is the process of collecting, analyzing, and interpreting sales data to uncover meaningful patterns, track performance, and improve overall business outcomes. At Insight Mantra, we use sales analytics to help businesses take the guesswork out of selling and turn data into growth.

We focus on four major types of analytics that serve different stages of your business decision-making:

Descriptive Analytics

This answers the question: “What happened?”

We look into your sales history, such as:

  • Total sales for a particular product or period.
  • Region-wise, category-wise or customer-wise performance breakdown.
  • Month-over-month and year-over-year trends.
Diagnostic Analytics

This goes deeper to ask: “Why did it happen?”

By examining causes behind the trends, we analyze:

  • If a sales dip was due to fewer orders, higher returns, or pricing issues.
  • Correlation between ads, seasonality, product availability and demand.
  • How external factors or internal processes affected sales.
Predictive Analytics

What will happen next?

Using tools like Power BI, Excel and AI models, we:

  • Forecast next quarter’s revenue based on historical trends.
  • Predict stock shortages or demand spikes.
  • Identify buying behavior shifts using customer segmentation.
Prescriptive Analytics

What should you do about it?

This is where you get recommendations:

  • Product combinations to bundle or cross-sell.
  • Suggesting target audience for remarketing campaigns.
  • Inventory optimization to reduce overstock or understock issues.

What are the Benefits of Sales Analytics?

    Better Sales Planning
  • Track and improve conversion rates.
  • Shorten your sales cycle by optimizing each stage.
  • Better forecast demand and allocate resources efficiently.
    Deeper Customer Understanding
  • Learn customer preferences.
  • Find gaps in service, pricing, or delivery.
  • Tailor promotions and marketing for higher impact.
    Business Growth
  • Reveal what’s working and what’s not.
  • Improve decision-making using real facts.
  • Expand into new regions or demographics with confidence.

Key Layers in Sales Analytics Solution:

    Data Collection Layer
  • Pulling data from Excel, ERP, CRM, ad platforms, and websites.
    Data Cleaning & Processing Layer
  • Removing duplicates, standardizing formats, and preparing usable datasets.
    Analytics Engine
  • Using formulas, pivot tables, or Power BI visuals to generate insights.
    Reporting & Sharing Layer
  • Dashboards, visual summaries, and secure online access via Power BI links.

Want a hands-on example?

Let Insight Mantra help you analyze your past, plan your future, and grow smarter.

Ready to take control of your sales data?

Let’s schedule a quick call and show you how our dashboards can make your business more efficient, confident, and competitive.