Leading Sales and Marketing Analytics Companies in India for Accelerating Business Growth
Sales and marketing analytics in India has moved past basic dashboards. Most teams aren’t just tracking performance anymore - they’re trying to understand what actually drives it. Which campaigns convert, where leads drop off, why some channels scale while others stall. That’s the gap these companies are stepping into.
What stands out is how differently they approach the same problem. Some focus on building clean data pipelines and making sense of scattered CRM data. Others lean into predictive models or campaign attribution, trying to answer questions before they fully surface. It’s less about tools on paper and more about how data fits into day-to-day decisions. And that’s usually where things either click - or quietly fall apart.
1. Oski Solutions
At Oski Solutions, we approach sales and marketing analytics as part of a wider system. In many cases, the starting point is messy - CRM data, campaign performance, and sales results sitting in different tools with no real alignment. We work on bringing that together first, building data pipelines and integrations that connect marketing activity with actual sales outcomes. From there, we develop analytics layers that help teams understand where revenue is really coming from, not just which campaigns look good on the surface. We provide these services in India alongside our broader software development work.
Our focus is usually on companies that are scaling or trying to modernize existing systems. That often includes mid-size businesses in e-commerce, fintech, logistics, or SaaS, where sales and marketing data is already there but not fully usable. We design and develop custom solutions using .NET, Node.js, and cloud environments like AWS or Azure, depending on what fits best. In some projects, this turns into predictive models or automated reporting, in others it stays closer to structured dashboards tied to CRM and ERP systems. We also support teams through dedicated development setups or ongoing collaboration, especially when analytics becomes part of a longer-term shift in how decisions are made.
Key Highlights:
Full-cycle development approach including analytics systems
Experience integrating CRM, ERP, and marketing platforms
Focus on connecting sales data with marketing performance
Work with mid-size companies and growing teams
AI and machine learning used where it makes practical sense
Services:
Sales and marketing analytics
Sales analytics system development
Marketing performance tracking tools
CRM and campaign data integration
Custom dashboards and reporting
Predictive analytics models
Data pipeline setup and automation
Contact Information:
Website: oski.site
E-mail: contact@oski.site
LinkedIn: www.linkedin.com/company/oski-solutions
Address: Kaupmehe tn 7, 10114 Tallinn, Estonia
Phone: +48571282759
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2. LatentView
LatentView works with marketing analytics from the angle of decision-making, not just reporting. They focus on helping companies understand how different parts of the funnel connect - from first interaction to conversion and beyond. In practice, that means mapping customer journeys, identifying where engagement drops, and figuring out which channels are actually contributing to results. It is less about building dashboards for the sake of visibility and more about making sense of what is already happening across campaigns.
They also bring AI and advanced analytics into campaign optimization and attribution. LatentView builds solutions that look at customer behavior, channel performance, and conversion patterns together, instead of in isolation. One detail that stands out is their work on full-funnel visibility - not every company goes that far, but it becomes important when marketing and sales teams are not aligned.
Key Highlights:
Focus on full-funnel marketing analytics
Use of AI for campaign measurement and optimization
Work across multiple marketing channels and touchpoints
Development of in-house analytics platforms like B2B Dynamo
Services:
Marketing analytics consulting
Customer journey analysis
Campaign performance measurement
Channel attribution analysis
Contact Information:
Website: www.latentview.com
E-mail: investorcare@latentview.com
Facebook: www.facebook.com/LatentView
Twitter: x.com/latentview
LinkedIn: www.linkedin.com/company/latentview-analytics
Instagram: www.instagram.com/lifeatlatentview
Address: 5th Floor, Neville Tower, Unit 6, 7 and 8, Ramanujan IT City, Rajiv Gandhi Salai, Taramani, Chennai – 600113, Tamil Nadu, India
Phone: +91 044 4344 1700
3. Tata Consultancy Services
Tata Consultancy Services approaches sales and marketing analytics as part of a broader customer lifecycle strategy. They work on connecting customer data across channels to create a more consistent view of how people interact with a brand. A common issue they address is duplicated targeting or fragmented campaigns, where the same audience gets multiple messages without coordination. Their solutions try to fix that by aligning data, channels, and timing.
Their analytics frameworks include recommendation engines, campaign optimization tools, and customer retention models. TCS focuses quite a bit on personalization, but not in a surface-level way - it is tied to pricing strategies, channel allocation, and ongoing engagement. For example, identifying the next best action for a customer is treated as part of a continuous process rather than a one-time decision.
Key Highlights:
Sales and marketing analytics linked to full customer lifecycle
Focus on multi-channel coordination and data alignment
Use of recommendation engines for personalization
Integration of pricing and retention analytics
Services:
Sales analytics solutions
Marketing analytics and campaign optimization
Customer lifecycle analytics
Channel attribution and budget allocation
Pricing and retention analytics models
Real-time behavior analysis
Contact Information:
Website: www.tcs.com
E-mail: india.marketing@tcs.com
Facebook: www.facebook.com/TataConsultancyServices
Twitter: x.com/TCS
LinkedIn: www.linkedin.com/company/tata-consultancy-services
Instagram: www.instagram.com/tcsglobal
Address: TCS Lucerna Tower, Sector 125, Plot A2B, Noida - 201303, Uttar Pradesh
4. Axtria
Axtria focuses on sales and marketing analytics within the life sciences space, which shapes how their solutions are built. Instead of general-purpose analytics, they work with data related to prescriptions, healthcare professionals, and patient behavior. That changes the kind of questions they try to answer - for example, which doctors are likely to engage with a product, or how marketing efforts influence prescription patterns over time.
They combine data management, analytics, and planning into one setup. Axtria builds systems that support segmentation, targeting, and marketing mix decisions, often using AI-driven models. There is also a noticeable emphasis on linking marketing activity with sales outcomes, especially in situations where multiple channels are involved. In one scenario, this could mean adjusting messaging across digital and field teams based on predicted engagement.
Key Highlights:
Focus on life sciences and healthcare analytics
Integration of sales and marketing data for planning
Use of predictive models for targeting and engagement
Support for omnichannel marketing strategies
Development of proprietary analytics platforms
Services:
Marketing analytics and measurement
Sales analytics and forecasting
Customer segmentation and targeting
Marketing mix modeling
Omnichannel analytics
Data management and analytics infrastructure
Contact Information:
Website: www.axtria.com
E-mail: connect@axtria.com
Facebook: www.facebook.com/AxtriaInc
Twitter: x.com/Axtria
LinkedIn: www.linkedin.com/company/axtria
Instagram: www.instagram.com/lifeataxtria
Address: 11th Floor, Tower B, Building 14 DLF Cybercity, Gurugram - 122002, India
Phone: +91-124-4920950
5. Express Analytics
Express Analytics focuses on marketing analytics with a fairly practical angle - helping teams understand what is working in campaigns and what is not, without overcomplicating the setup. Their work usually revolves around campaign performance, attribution, and customer behavior analysis. Instead of treating reporting as a static output, they build systems that track performance in real time and highlight where changes might be needed.
They also lean into predictive models and experimentation. Express Analytics uses machine learning to forecast performance, identify churn risks, and support decisions around targeting and budget allocation. One thing that stands out is how often testing is built into the process - A/B testing, audience segmentation, and iterative campaign adjustments are part of the workflow rather than a separate step.
Key Highlights:
Focus on campaign performance and attribution
Use of predictive models for marketing decisions
Real-time performance monitoring and alerts
Emphasis on testing and iterative optimization
Services:
Marketing analytics consulting
Campaign performance analysis
Attribution modeling
Customer segmentation and targeting
Predictive analytics and churn analysis
A/B testing and experimentation
Contact Information:
Website: www.expressanalytics.com
E-mail: info@expressanalytics.com
Facebook: www.facebook.com/expana
Twitter: x.com/ExpresAnalytics
LinkedIn: www.linkedin.com/company/express-analytics
Instagram: www.instagram.com/expressanalytics
Address: Workflo, Pride accord building, 2nd floor, Opposite Symantec office, Baner road, Baner, Pune – 411045
Phone: +1 (618) 224 3573
6. SG Analytics
SG Analytics approaches marketing analytics from a broader business perspective, where the goal is not just to track campaigns but to understand how marketing contributes to overall growth. They work across industries like BFSI, technology, and media, helping teams break down performance across channels and identify which activities are actually delivering value.
Their work includes segmentation, marketing mix modeling, and benchmarking, which helps companies see how they compare within their market. SG Analytics also supports ongoing campaign analysis and experimentation, looking at how different variables - messaging, timing, or channel mix - affect results. There is a steady focus on improving decision-making rather than just producing reports.
Key Highlights:
Work across multiple industries including BFSI and TMT
Focus on linking marketing spend with outcomes
Use of segmentation and marketing mix modeling
Support for campaign testing and benchmarking
Services:
Marketing analytics consulting
Campaign performance analysis
Customer segmentation
Marketing mix modeling
Contact Information:
Website: www.sganalytics.com
E-mail: supriya.dixit@sganalytics.com
Facebook: www.facebook.com/SGAnalytics
Twitter: x.com/SGAnalytics
LinkedIn: www.linkedin.com/company/sg-analytics
Instagram: www.instagram.com/sg.analytics
Address: 601 & 602, 6th Floor, 2nd Wing, Cluster C, DP Farms Road, EON Free Zone, Kharadi, Pune 411014, Maharashtra , India
7. Mu Sigma
Mu Sigma takes a slightly different approach to sales and marketing analytics by looking at problems as part of a larger system rather than isolated use cases. Their work often connects marketing, pricing, inventory, and customer behavior into one analytical framework. In retail, for example, they focus on how shifts in demand, promotions, and availability interact in real time, rather than analyzing each piece separately.
They also emphasize speed and continuous decision-making. Instead of long reporting cycles, Mu Sigma builds analytics setups that allow teams to react quickly - whether it is adjusting campaigns, refining targeting, or responding to changes in customer behavior. Their work often includes identifying cross-sell opportunities, improving personalization, and supporting marketing decisions with data that updates as conditions change.
Key Highlights:
System-level approach to sales and marketing analytics
Strong focus on retail and customer behavior analysis
Emphasis on real-time insights and faster decision cycles
Integration of marketing with pricing and inventory data
Services:
Sales and marketing analytics
Customer behavior and demand analysis
Cross-sell and personalization analytics
Campaign and promotion analysis
Data quality and analytics transformation
Contact Information:
Website: www.mu-sigma.com
Facebook: www.facebook.com/musigmaofficial
Twitter: x.com/musigmainc
LinkedIn: www.linkedin.com/company/mu-sigma
Instagram: www.instagram.com/musigma_stories
Address: 10th Floor to 14th Floor - Aviator Building, Ascendas – ITPL SEZ, Whitefield Road, Bengaluru - 560066
Phone: +91 80 7154 8000
8. Infosys
Infosys works on sales and marketing analytics as part of a broader customer analytics and digital transformation setup. Their approach usually starts with understanding how customers move across channels - websites, social media, and digital platforms - and then structuring that data into something usable. They focus on capturing the full customer journey, including the less obvious parts like non-linear behavior on social platforms, which often gets ignored but still affects buying decisions.
They also combine analytics with automation and AI to support decisions across the lifecycle - from acquisition to retention. Infosys builds solutions around forecasting, targeting, pricing, and product performance, often tying them back to real customer interactions. In one scenario, this could mean linking social media engagement with sales patterns or adjusting product recommendations based on past behavior.
Key Highlights:
Focus on end-to-end customer lifecycle analytics
Integration of social, web, and sales data
Use of AI and automation in marketing analytics
Coverage of both marketing and product-level insights
Experience across digital and industrial sectors
Services:
Sales and marketing analytics
Customer journey and behavior analysis
Social and web analytics reporting
Sales forecasting and targeting
Pricing and product analytics
Contact Information:
Website: www.infosys.com
Facebook: www.facebook.com/Infosys
Twitter: x.com/Infosys
LinkedIn: www.linkedin.com/company/infosys
Address: 138, Old Mahabalipuram Road, Sholinganallur, Chennai, Tamil Nadu – 600119
Phone: +91 44 6927 3500
9. Wipro
Wipro approaches sales and marketing analytics through industry-specific solutions, especially in areas like healthcare and medical devices. Their work often revolves around combining data from different sources - including social media, clinical systems, and operational tools - to improve how companies target customers and manage campaigns. Instead of focusing only on marketing performance, they connect analytics with broader business processes such as lead generation, product launches, and customer relationship management.
One detail that stands out is the use of closed-loop analytics, where campaign results feed directly back into planning and optimization. Wipro provides these services often working with companies that operate across multiple channels and need a more coordinated approach to sales and marketing data.
Key Highlights:
Industry-focused analytics, especially in healthcare
Use of proprietary platforms for data integration
Closed-loop analytics for continuous improvement
Combination of marketing analytics with CRM and operations
Services:
Sales and marketing analytics
Customer data integration and analysis
Campaign and promotion analytics
Pricing and sales performance analysis
CRM transformation and optimization
Contact Information:
Website: www.wipro.com
E-mail: info@wipro.com
Facebook: www.facebook.com/WiproLimited
LinkedIn: www.linkedin.com/company/wipro
Instagram: www.instagram.com/wiprolimited
Address: Doddakannelli, Sarjapur Road, Bengaluru - 560035
Phone: +91 (80) 61427999
10. Krish
Krish works at the intersection of marketing technology and analytics, where data is used to shape how campaigns are planned and executed. Their focus is not just on analyzing performance after the fact, but on building systems that connect data, automation, and customer experience from the start. That usually includes integrating analytics tools, setting up tracking across channels, and making sure insights actually feed into campaigns.
They also spend a lot of time on conversion optimization and testing. Krish uses A/B testing, segmentation, and behavioral data to adjust customer journeys and improve how users move through them. For example, identifying friction points in a checkout flow or refining audience targeting based on past interactions is a common part of their work.
Key Highlights:
Focus on MarTech and analytics integration
Strong emphasis on conversion rate optimization
Experience with omnichannel marketing strategies
Services:
Marketing analytics and digital analytics
Conversion rate optimization and A/B testing
Customer segmentation and targeting
Marketing automation setup and optimization
Omnichannel marketing analytics
Campaign performance tracking and reporting
Contact Information:
Website: www.krishtechnolabs.com
E-mail: biz@krishtechnolabs.com
LinkedIn: www.linkedin.com/company/krish-technolabs/?originalSubdomain=in
Address: 59/297, Shrimali Society, Opp. Passport Seva Kendra, Navrangpura, Ahmedabad–380009
Phone: +91 7575025646
11. Tiger Analytics
Tiger Analytics focuses on sales and marketing analytics through a mix of data strategy, engineering, and applied AI. They typically work with large organizations, especially in retail and consumer goods, where marketing performance is closely tied to pricing, promotions, and customer behavior. Instead of treating analytics as a reporting layer, they build systems that help teams move from raw data to decisions - sometimes that means reworking data foundations first, before any insights are even visible.
Their work often combines multiple layers - defining analytics roadmaps, building data platforms, and then applying machine learning models for forecasting or optimization. One detail that stands out is how they structure reusable solutions, like planning tools or forecasting modules, which can be adapted across different use cases. In practice, this might look like improving how marketing budgets are allocated or refining how promotions are timed based on demand signalsl.
Key Highlights:
Strong focus on retail and consumer goods analytics
Combination of data engineering, AI, and business intelligence
Use of reusable analytics frameworks and accelerators
Work with large-scale enterprise data environments
Emphasis on linking insights to operational decisions
Services:
Sales and marketing analytics
Marketing mix and campaign analytics
Customer behavior and segmentation analysis
Forecasting and demand analytics
Data strategy and analytics roadmap development
Contact Information:
Website: www.tigeranalytics.com
Facebook: www.facebook.com/tigeranalytics
Twitter: x.com/tigeranalytics
LinkedIn: www.linkedin.com/company/tiger-analytics
Instagram: www.instagram.com/tigeranalytics
Address: Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, Karnataka, 560103
12. Innovatics
Innovatics works with marketing analytics from a more foundational angle, often helping companies fix how their data is collected and structured before moving into deeper analysis. A lot of their work starts with audits - checking whether tracking is accurate, whether different tools are aligned, and whether the data can actually be trusted. This is especially relevant for growing teams where decisions are being made on incomplete or inconsistent reports.
They also support ongoing analysis and optimization once the foundation is in place. Innovatics works on segmentation, attribution, and customer journey mapping, but tends to keep things practical - identifying which campaigns are underperforming, where budget is being wasted, or which segments are worth focusing on.
Key Highlights:
Focus on analytics audits and data accuracy
Work with growing businesses and marketing teams
Emphasis on building a reliable data foundation
Services:
Marketing analytics consulting
Analytics setup and audits
Data tracking and implementation
Customer segmentation and personalization
Customer journey mapping
Attribution analysis
Campaign performance optimization
Contact Information:
Website: teaminnovatics.com
E-mail: sales@teaminnovatics.com
Facebook: www.facebook.com/teaminnovatics
Twitter: x.com/innovatics3
LinkedIn: www.linkedin.com/company/teaminnovatics
Instagram: www.instagram.com/teaminnovatics
Address: A 509 - 513 KP Epitome, Near Dav International School, Makarba, Ahmedabad, Gujarat, 380051 - India
Phone: +91 95588 26127
13. Impact Analytics
Impact Analytics approaches sales and marketing analytics through retail-focused use cases, where decisions around pricing, promotions, and customer engagement are closely linked. Their work often combines marketing analytics with merchandising and inventory data, which changes how performance is evaluated. Instead of looking at campaigns in isolation, they analyze how pricing changes, discounts, and product availability affect demand and customer behavior.
They also build analytics models that support real-time or near real-time decisions. This includes dynamic pricing, promotion analysis, and customer segmentation, all tied back to improving margins and engagement. One detail that stands out is how they connect marketing effectiveness with operational factors like stock levels or product mix. For example, a promotion might perform well in isolation but still lead to inefficiencies if inventory is not aligned.
Key Highlights:
Strong focus on retail analytics and pricing strategies
Integration of marketing, merchandising, and inventory data
Use of AI-driven models for decision-making
Emphasis on real-time analytics and faster execution
Services:
Sales and marketing analytics
Customer segmentation and targeting
Campaign and promotion effectiveness analysis
Pricing and promotion analytics
Demand forecasting and elasticity analysis
Contact Information:
Website: www.impactanalytics.ai
Twitter: x.com/impactanalytic
LinkedIn: www.linkedin.com/company/impactanalytics
Instagram: www.instagram.com/impactanalytics
Address: Ground Floor, Global Technology Park, Block C, Bellandur, Bengaluru, Karnataka 560103, India
14. Algoscale
Algoscale works with sales and marketing analytics as part of a broader data engineering and AI setup. Their approach usually starts with organizing and structuring data, especially when it comes from multiple sources like CRMs, marketing platforms, and internal systems. Once the data layer is stable, they move into building dashboards and models that help teams understand performance in a more direct way - not just what happened, but what is likely to happen next.
They also focus on predictive analytics and AI-driven insights to support decision-making. Algoscale builds models that look at customer behavior, campaign outcomes, and sales trends together, which helps teams adjust targeting or messaging earlier rather than after the fact. In some cases, this might mean identifying which customer segments are likely to convert or where marketing spend is not translating into sales.
Key Highlights:
Focus on data engineering combined with analytics
Use of predictive models for marketing and sales insights
Development of custom dashboards and reporting tools
Services:
Sales and marketing analytics
Data engineering and data pipeline setup
Predictive analytics and modeling
Customer behavior analysis
Campaign performance analytics
Contact Information:
Website: algoscale.com
E-mail: askus@algoscale.com
Facebook: www.facebook.com/algoscale
Twitter: x.com/algoscale
LinkedIn: www.linkedin.com/company/algoscale
Instagram: www.instagram.com/algoscale
Address: Algoscale Technologies Private Limited D-76, Sector 63 Noida, UP 201301
Phone: +91-120-416-5801
Conclusion
What becomes clear after looking at these companies is that sales and marketing analytics in India is not one thing anymore. Some teams are building full data ecosystems from scratch, others are stepping in to fix tracking issues or improve campaign performance, and a few are going deeper into prediction and automation. It really depends on where a company is in its growth - a startup trying to understand its first campaigns will need something very different from a retail brand managing pricing, promotions, and inventory at the same time.
There is also a quiet shift happening in how analytics is used. It is less about reporting what already happened and more about shaping what happens next. That might sound obvious, but in practice it is where most setups still struggle. The companies listed here approach that problem from different angles, and none of them solve it in exactly the same way. So choosing between them is not really about features - it is about how well their way of working fits your internal reality. That part is harder to evaluate, but it usually matters more than the tools themselves.
