Sales & Marketing Analytics - SR Analytics

Sales & Marketing Analytics

Transform Data Into Revenue Growth Move beyond basic CRM reports and surface-level metrics.

The Analytics Challenges You’re Facing

Proving ROI when customer journeys span 5-10 touchpoints across paid ads, organic search, email, social, and sales calls. You’re reporting on metrics that don’t connect to revenue, clicks, impressions, form fills while leadership asks “what’s really driving deals?”

Which reps are consistently hitting quota and why? Where are deals stalling in the pipeline? How accurate are your forecasts really? You’re drowning in CRM data but lack the visibility to coach effectively or predict with confidence.

Data scattered across Salesforce, HubSpot, Google Analytics, ad platforms, and spreadsheets. Each system tells a different story. You spend more time reconciling numbers than analyzing them, and critical decisions wait while you hunt for answers.

We solve these problems. SR Analytics unifies your fragmented data, connects marketing activity to revenue outcomes, and delivers role-specific insights that drive action—not more confusion.

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Our Sales & Marketing Analytics Services

01. 360-Degree Customer Intelligence

02. Multi-Touch Attribution Modeling

03. Campaign Performance & Marketing ROI

04. Customer Behavior Analytics & Segmentation

05. Predictive Customer Lifetime Value (CLV)

06. Churn Prediction & Retention Analytics

07. Sales Performance Analytics

08. AI-Powered Sales Forecasting

09. Marketing Mix Modeling (MMM)

01. 360-Degree Customer Intelligence

Consolidate data from Salesforce, HubSpot, Microsoft Dynamics, Marketo, Google Analytics, LinkedIn, and 50+ other platforms into unified customer profiles. See complete interaction history, engagement patterns, and conversion pathways.

Value: Eliminate data silos and make decisions based on the full customer story, not isolated snapshots.

02. Multi-Touch Attribution Modeling

Track customer journeys across channels to understand how each touchpoint contributes to conversions. Our custom attribution models—first-touch, last-touch, linear, time-decay, position-based, and data-driven—reveal your true marketing ROI.

Value: Optimize marketing spend by investing in channels that actually drive revenue, not just clicks or impressions.

03. Campaign Performance & Marketing ROI

Monitor campaign effectiveness across all channels with integrated dashboards. Connect lead generation metrics to revenue outcomes and prove marketing’s impact on business growth with closed-loop reporting.

Value: Demonstrate marketing’s contribution to revenue and make budget allocation decisions backed by data.

04. Customer Behavior Analytics & Segmentation

Identify purchase patterns, content preferences, and engagement signals that predict buying behavior. Create actionable customer segments based on behavior, firmographics, and propensity to buy.

Value: Deliver personalized experiences that resonate with each customer segment and increase conversion rates.

05. Predictive Customer Lifetime Value (CLV)

Use machine learning to forecast the long-term value of each customer relationship. Identify high-value prospects early, prioritize retention efforts, and calculate optimal customer acquisition costs.

Value: Focus resources on customers with the highest lifetime potential while optimizing acquisition costs.

06. Churn Prediction & Retention Analytics

Detect at-risk customers before they leave using behavioral signals and engagement patterns. Build targeted retention programs that keep your most valuable customers engaged.

Value: Reduce churn rates and protect revenue by proactively addressing customer health issues.

07. Sales Performance Analytics

Give sales teams and managers role-specific dashboards that track quota attainment, pipeline health, win rates, deal velocity, and individual rep performance. Identify coaching opportunities and best practices from top performers.

Value: Increase sales productivity with insights that help reps close more deals and managers optimize team performance.

08. AI-Powered Sales Forecasting

Predict future revenue with models that analyze historical data, seasonal patterns, pipeline velocity, and market trends. Set accurate quotas, plan inventory, and make confident growth projections.

Value: Eliminate forecasting guesswork and align operations with realistic, data-backed revenue predictions.

09. Marketing Mix Modeling (MMM)

Understand how different marketing channels work together to drive conversions. Optimize budget allocation across paid, owned, and earned media based on incremental contribution to revenue.

Value: Maximize marketing ROI by identifying the optimal mix of channels for your unique customer base.

Industries We Serve

Patient acquisition cost analysis, referral source tracking, and practice performance optimization

Product performance, inventory optimization, customer segmentation, and omnichannel attribution

 Sales territory optimization, channel partner analytics, and demand forecasting

Lead-to-close analytics, advisor performance tracking, and regulatory-compliant reporting

How We Work

Our Process

1. Discovery & Strategy (Week 1-2)

We start by understanding your business objectives, current analytics maturity, data sources, and key questions you need answered. We map your customer journey and identify critical metrics.

2. Data Integration & Architecture (Week 3-6)

Our team connects your systems, cleanses data, and builds a unified data warehouse. We establish automated pipelines that keep your analytics fresh and accurate.

3. Dashboard Development & Modeling (Week 7-10)

We create custom dashboards tailored to different roles and build predictive models for forecasting, CLV, churn, and attribution based on your specific business context.

4. Training & Adoption (Week 11-12)

We don’t just hand over dashboards—we ensure your team knows how to use them. Comprehensive training sessions, documentation, and hands-on workshops drive adoption.

5. Ongoing Optimization & Support

Analytics is an ongoing journey. We provide continuous monitoring, model refinement, and strategic guidance to ensure your solutions evolve with your business.

Success Metrics That Matter

20 hours per week saved through automated reporting

15-25% reduction in customer acquisition costs

6-10x ROI from data-driven marketing decisions

12-18% improvement in conversion rates

25% reduction in customer churn

30% faster time to insights

Success stories

Our Technology Stack

We bring together the best of our partner network to help your business gain the competitive edge.

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technology-stack

What Makes SR Analytics Different?

Domain Expertise - SR Analytics
Proven Expertise

Business-First Approach

We start with your business questions, not our technology stack. Every solution is designed to answer the specific challenges keeping you up at night.

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End-to-End Partnership

From strategy to implementation to ongoing optimization—we’re with you at every stage. No handoffs to separate teams, no knowledge loss.

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Proven Methodology

Our SIOT framework (Strategy, Implementation, Optimization, Training) ensures solutions that deliver value and get adopted.

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Industry Expertise

We’ve solved similar problems for companies like yours. We bring best practices and lessons learned from 50+ successful implementations.

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Scalable Solutions

Our architecture grows with you. Start with foundational dashboards and expand into advanced predictive models as your maturity increases.

Customer testimonials

Don’t just take our word for it—hear from our customers.

Other Services

Unlocking business value through our services and solutions

Data Analytics

Data Analytics Consulting

Unlock actionable insights from your data with our data analytics consulting services.

Data science

Business Intelligence (BI)

Transform your scattered business data into actionable insights through BI tools.

Web analytics

Microsoft Power BI

Microsoft Power BI consultants bring industry-specific expertise to solve your most complex data challenges.

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Ready to Transform Your Sales & Marketing Analytics?

Harness the power of data-driven marketing strategies for your campaigns, maximize ROI, and achieve your marketing goals. Our marketing analytics services provide the insights you need to make informed decisions and drive marketing success.

FAQs

Most projects take 8-12 weeks from kickoff to full deployment, depending on complexity and data sources. Quick-win dashboards can often be delivered in 3-4 weeks.

Yes. Our solutions integrate with 50+ marketing, sales, and analytics platforms through native connectors and APIs. If you use it, we can connect to it.

Our marketing analytics solution integrates effortlessly with your existing CRM and marketing automation platforms using customizable connectors and APIs. Insights are transformed into actionable recommendations and delivered directly to your team via their preferred platforms (e.g., Slack, Salesforce, Microsoft Teams). This seamless integration ensures smooth data flow and unified insights across all tools, enhancing the efficiency of your marketing efforts.

We prioritize data accuracy and reliability through rigorous validation, automated error detection, and continuous algorithm updates. Additionally, our quality assurance process includes regular data audits to maintain integrity and trustworthiness.

Getting started is simple. Contact us through our website, and our team will guide you through the consultation process. We’ll assess your needs and demonstrate how our marketing analytics solutions can help achieve your goals.

Data quality issues are common. Part of our process includes data cleansing, standardization, and establishing governance practices to maintain data integrity going forward.

Absolutely. We offer flexible support packages including monitoring, optimization, training refreshers, and strategic consulting to ensure long-term success.

We follow enterprise-grade security practices including encryption, access controls, audit logs, and compliance with GDPR, CCPA, and industry-specific regulations.

Yes. We design flexible, cloud-based architectures that handle increasing data volumes, additional users, and new business units without performance degradation.