Sales
Analytics

When to consider Sales Analytics
Sales analytics becomes essential when organisations need clearer visibility into pipeline performance, conversion rates, and revenue drivers. As sales cycles grow more complex and data spans multiple systems, analytics helps identify patterns in buyer behaviour, prioritise opportunities, and forecast outcomes more accurately. By using sales analytics, teams can improve decision-making, focus effort on high-value opportunities, and drive more consistent revenue growth.
Our Sales
Analytics Capabilities
Sales Performance
Monitoring
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Real-time dashboards for revenue, pipeline, and quota tracking.
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Sales trend analysis to identify growth opportunities and bottlenecks.
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Performance tracking to support KPI-driven sales data.
Sales Forecasting &
Predictive Analysis
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AI-driven forecasting to predict revenue and pipeline outcomes.
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Lead scoring and conversion analysis to prioritise opportunities.
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Modelling to evaluate pricing and sales strategy impact.
Customer &
Market Segmentation
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Customer segmentation based on buying behaviour and demographics.
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Geo-analytics to support territory planning and sales optimisation.
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Market & competitor analysis to track trends
Sales Funnel &
Lead Analytics
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Funnel analysis to identify drop-offs and improve conversion.
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Journey analytics to track interactions across touchpoints.
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Sales cycle optimisation to reduce time to close.
Pricing & Revenue
Optimization
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Price elasticity modelling to inform optimal pricing.
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Discount impact analysis to protect profitability.
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AI-driven pricing recommendations for personalised offers.
Learn more about
Sales Analytics

Key Benefits



Territory Optimization
Strategy
Quota Attainment
Insights
Monitor opportunities, deal speed, and conversion rates across teams and regions to improve forecasting and planning.
Identify high-potential areas, balance workloads, and optimise territories using performance and market data.
Analyse sales performance and quota progress to support coaching, incentives, and talent decisions.
Improve forecast accuracy using AI-driven models that factor in seasonality, pipeline health, and historical trends.
Revenue Forecast
Accuracy
Apply predictive scoring to identify high-probability opportunities and understand drivers of deal outcomes.
Deal Win
Predictability

Segment customers by value and potential to prioritise high-impact accounts and cross-sell opportunities.
Customer Value
Intelligence

Pipeline Performance
Visibility

