Best Sales and Marketing Analytics Companies in the USA
Sales and marketing analytics have become essential for businesses aiming to understand their customers, improve conversion rates, and maximize return on investment. By turning complex data into actionable insights, companies can uncover trends, measure campaign effectiveness, and make smarter strategic decisions that drive growth.
The United States stands at the forefront of data analytics innovation - home to world-leading platforms, AI solutions, and consulting firms that help organizations leverage data for competitive advantage. From predictive sales forecasting and consumer behavior analysis to real-time marketing performance tracking, U.S.-based analytics providers enable businesses to align teams, personalize outreach, and optimize every stage of the sales funnel.
In this article, we highlight some of the top sales and marketing analytics companies in the USA that empower businesses with intelligent data solutions, automation, and advanced analytics tools designed to boost both marketing and sales performance.

1. OSKI
OSKI develops data-driven solutions that help businesses better understand and manage their sales and marketing performance. Our work focuses on building custom analytics platforms that collect, process, and visualize information from different sources, allowing teams to make informed decisions based on accurate, real-time data. By combining technical expertise with practical insight, we create tools that reveal patterns in customer behavior, track marketing campaigns, and connect performance metrics across departments.
Operating across the United States and international markets, we support organizations that rely on advanced analytics to stay competitive in fast-changing industries such as e-commerce, retail, logistics, and technology. Our U.S.-based projects focus on enabling companies to unify their data ecosystems, adopt AI-driven forecasting, and align marketing and sales operations for measurable growth.
We use cloud technologies and AI-based models to automate data analysis and improve forecasting accuracy. Our systems integrate easily with existing CRMs, marketing automation tools, and e-commerce platforms, ensuring that data flows consistently between systems. This approach helps organizations evaluate their strategies, measure ROI, and adjust marketing efforts to match market trends and audience needs.
Key Highlights:
- Development of custom analytics tools for sales and marketing data
- Integration with CRM and automation platforms
- Use of machine learning for predictive analytics and sales forecasting
- Cloud-based architecture for scalability and data security
- Experience in projects across e-commerce, logistics, and retail sectors
Services:
- Sales and Marketing Analytics
- AI and machine learning integration
- Dashboard and visualization tool creation
- Data integration and ETL processes
- CRM and marketing automation system connections
- Cloud deployment and maintenance for analytics solutions
Contact Information:
- Website: oski.site
- LinkedIn: www.linkedin.com/company/oski-solutions
- Address: Kaupmehe tn 7, 10114 Tallinn, Estonia
- Phone Number: +48571282759
- Email: contact@oski.site
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2. Analytics8
Analytics8 provides sales and marketing analytics services focused on turning fragmented data into a usable picture of performance. The practice integrates information from CRM systems, marketing automation tools, website analytics, SEO platforms, social channels, and ad networks to form a consistent view of customers and campaigns. The result supports work like tracking campaign impact, connecting lead activity with revenue outcomes, and building practical dashboards for teams and leadership.
Project scopes typically include a 360 view of customer activity, segmentation for targeted outreach, and models that estimate churn or forecast sales using historical patterns and market context. Delivery spans strategy and planning, platform build and migrations, visualization, and long term adoption through training and support. Example source systems noted by the firm include Salesforce, Microsoft Dynamics, Marketo, HubSpot, Google Analytics, and similar tools.
Key Highlights:
- Integrated data foundation across CRM, marketing automation, web, SEO, social, and ads
- 360 view of customers with unified tracking of journeys and touchpoints
- Campaign performance analysis linking lead generation to sales outcomes
- Customer behavior insights for retention and targeting
- Sales forecasting and quota planning from historical and market inputs
- Role-based dashboards for daily use and leadership review
Services:
- Sales and Marketing Analytics
- Data strategy, architecture, and governance for go-to-market analytics
- Data platform build and migrations to modern stacks
- Data integration, modeling, and visualization for sales and marketing teams
- Segmentation, churn prediction, and forecasting workflows
- App and BI integrations with common CRM and martech systems
- Training, advisory, and ongoing support for adoption and maintenance
Contact Information:
- Website: www.analytics8.com
- LinkedIn: www.linkedin.com/company/analytics8
- Address: 55 E Monroe St Suite 2950 Chicago, IL 60603
- Phone Number: +1 312 878 6600
- Facebook: www.facebook.com/Analytics8
- Twitter: x.com/analytics8
- Instagram: www.instagram.com/analytics8

3. Alteryx
Alteryx is a unified analytics platform used to prepare, analyze, and operationalize sales and marketing data without heavy coding requirements. The product supports data access, cleansing, blending, predictive modeling, and reporting in one place, with options to automate repeatable workflows and govern usage at scale. Sales and marketing teams use it to improve forecasting, evaluate media and channel performance, and translate complex datasets into clear, shareable insights.
Capabilities include code-free building blocks alongside code-friendly options, connectors to common enterprise apps and data clouds, and guided resources such as starter kits for marketing analysis, Salesforce pipelines, data blending, and predictive analytics. The platform also adds generative AI features for analysis assistance and insight discovery, while keeping control over data access and lineage.
Key Highlights:
- End-to-end workflow for data prep, analysis, reporting, and automation
- Code-free and code-friendly approach for different skill levels
- Generative AI features to assist analysis and explain outcomes
- Connectors for systems such as Salesforce, Dynamics 365, HubSpot, Snowflake, Databricks, and Google Analytics
- Starter kits for marketing, Salesforce, blending, and predictive use cases
- Governance and scalability for broader departmental adoption
Services:
- Sales and Marketing Analytics
- Data preparation and blending for multi-source go-to-market datasets
- Predictive modeling for pipeline health and demand signals
- Campaign and media performance analysis with reusable workflows
- Sales forecasting and territory or quota analysis
- Dashboard creation and scheduled reporting to stakeholders
- Workflow automation and governance across teams
Contact Information:
- Website: www.alteryx.com
- LinkedIn: www.linkedin.com/company/alteryx
- Address: 3347 Michelson Drive Suite 400 Irvine, CA 92612
- Phone Number: +1 888 836 4274
- Facebook: www.facebook.com/alteryx
- Twitter: x.com/alteryx

4. Aviso
Aviso is a revenue operations platform centered on analytics for sales and marketing execution. Feature areas include conversation and relationship intelligence, coaching and enablement, reports and analytics, marketing intelligence, team collaboration, revenue forecasting, pipeline inspection, deal acceleration, sales engagement, and customer success intelligence. The toolset is designed to give go-to-market teams a shared, current view of pipeline movement and account health.
Core workflows cover monitoring opportunities, inspecting pipeline risk, prioritizing deals, and coordinating engagement across sales and marketing programs. The platform’s analytics surfaces patterns in interactions and relationships, highlights gaps in coverage, and supports forecast reviews with context pulled from activity data. Use extends across industries, with dedicated pages for sectors such as life sciences, financial services, and technology.
Key Highlights:
- Unified view of revenue operations across sales and marketing
- Conversation and relationship intelligence for account context
- Forecasting, pipeline inspection, and deal acceleration workflows
- Coaching and enablement features tied to analytics signals
- Collaboration features for cross-functional go-to-market teams
- Coverage of industries such as pharma, financial services, and tech
Services:
- Sales and Marketing Analytics
- Revenue forecasting and pipeline risk analysis
- Opportunity and account analytics with engagement insights
- Coaching guidance based on call and interaction data
- Marketing impact analysis aligned to pipeline and bookings
- Reporting and dashboards for leadership and front-line roles
- Team collaboration features for shared planning and execution
Contact Information:
- Website: www.aviso.com
- LinkedIn: www.linkedin.com/company/aviso-inc
- Twitter: x.com/avisoinc

5. Zappi
Zappi provides a consumer insights platform that connects product, advertising, and brand research in one place. The platform combines structured consumer data with AI to keep feedback flowing across development stages, which helps teams link early ideas to outcomes and avoid one-off studies. Past learnings remain accessible for pattern spotting and faster iteration, so concept tests, storyboards, and finished assets can be compared using consistent diagnostics.
For sales and marketing analytics, Zappi focuses on testing creative, refining messages, and guiding launches with ongoing measurement rather than isolated checks. The system supports flexible research designs, tailored audiences, and fast cuts of the data to answer practical questions. Quality controls align to industry standards, and the interface is built to keep consumer input visible while work moves from idea to execution.
Key Highlights:
- Connected workflow for product, ad, and brand research
- Continuous consumer feedback with AI-assisted diagnostics
- Reusable learnings to compare ideas over time
- Flexible methodologies and audience selection
- Quality controls aligned to research standards
- Practical views that link creative choices to market outcomes
Services:
- Sales and Marketing Analytics
- Ad development testing across ideas, storylines, and finished assets
- Product concept and optimization studies with iterative loops
- Brand tracking and diagnostics with comparable metrics
- Audience targeting, sample management, and data slicing
- Insight reporting and knowledge base organization
Contact Information:
- Website: www.zappi.io
- LinkedIn: www.linkedin.com/company/zappi
- Address: 34 Farnsworth Street Boston MA 02210
- Twitter: x.com/zappi_io
- Instagram: www.instagram.com/zappi.io

6. Snowflake
Snowflake offers an AI Data Cloud that unifies data engineering, analytics, AI, and application collaboration on a managed platform. The environment simplifies ingesting, processing, and modeling data across clouds, while interoperating with common formats and partner tools. Security and governance run through the core, so access, lineage, and continuity remain consistent as workloads scale.
For sales and marketing analytics, Snowflake concentrates on building reliable pipelines from CRM, ad platforms, web analytics, and third party sources into a single analytical layer. Teams use this foundation to power dashboards, attribution logic, segmentation models, and predictive use cases, with options to deploy custom machine learning and LLM-driven assistants. The same platform supports sharing data to downstream apps without duplicating storage, which helps keep metrics aligned.
Key Highlights:
- Unified platform for data engineering, analytics, AI, and apps
- Managed infrastructure with cross-cloud interoperability
- Centralized governance for access, lineage, and continuity
- Partner ecosystem and open format support for flexibility
- Data sharing and collaboration without copies
- Foundations for predictive models and assistant-style analytics
Services:
- Sales and Marketing Analytics
- Data ingestion, transformation, and modeling for go-to-market stacks
- Central metric layer for reporting, attribution, and forecasting
- Secure sharing to BI tools, activation platforms, and apps
- Feature store patterns for machine learning and LLM workflows
- Monitoring, cost controls, and workload orchestration
- Environment setup, role design, and governance configuration
Contact Information:
- Website: www.snowflake.com
- LinkedIn: www.linkedin.com/company/3653845
- Address: Suite 3A, 106 East Babcock Street Bozeman, Montana 59715, USA
- Facebook: www.facebook.com/snowflakedb
- Twitter: x.com/Snowflake

7. Datos
Datos provides large-scale clickstream data that captures how people navigate and interact across websites at the URL level. The platform tracks page views, clicks, and engagement patterns to reveal real user behavior, intent, and preferences. With one of the world’s largest data panels, it aggregates information from millions of participants and billions of monthly URLs to give organizations a detailed, evidence-based view of digital activity.
For sales and marketing analytics, Datos helps companies understand audience journeys, benchmark competitors, and inform strategic decisions without relying on assumptions. Its data supports product planning, ad optimization, and market intelligence efforts by connecting online behavior to demand signals and conversion paths.
Key Highlights:
- Clickstream data covering billions of URLs monthly
- Behavioral insights at the URL level across the open web
- Large-scale panel of millions of users
- Contextual view of intent, preferences, and engagement
- Applications for audience research, media planning, and competitive intelligence
Services:
- Sales and Marketing Analytics
- Clickstream data collection and enrichment
- Behavioral analytics and intent modeling
- Market and competitor benchmarking
- Audience segmentation and trend analysis
- Data partnerships and integration for enterprise analytics
Contact Information:
- Website: datos.live
- LinkedIn: www.linkedin.com/company/datos-inc
- Facebook: www.facebook.com/datos.live
- Twitter: x.com/livedatos
- Email: info@datos.live

8. Circana
Circana delivers analytics and technology for retail, CPG, durables, and related sectors, combining broad data assets with an integrated platform. Liquid Data powers measurement, diagnostics, and predictive workflows, with domain expertise embedded through models and curated views. The environment aims to translate complex market signals into actions grounded in repeatable methods.
For sales and marketing analytics, the offering supports market share tracking, drivers of performance, and consumer behavior analysis across channels. Workflows cover media effectiveness, assortment and pricing choices, and demand forecasting, with role based reporting for both strategic and operational decisions. Content libraries and guidance materials provide additional context for planning and evaluation.
Key Highlights:
- Integrated platform with market measurement and predictive analytics
- Coverage across retail, CPG, foodservice, and general merchandise
- Consumer behavior views that connect to category and channel trends
- Assortment, pricing, and media effectiveness workflows
- Role based dashboards and reporting
- Thought leadership, reports, and training resources
Services:
- Sales and Marketing Analytics
- Demand and share measurement with diagnostic layers
- Marketing and media analytics across channels
- Consumer insight programs tied to category performance
- Forecasting and planning support for merchandising and supply
- Reporting, dashboards, and alerting
- Advisory, onboarding, and ongoing program support
Contact Information:
- Website: www.circana.com
- LinkedIn: www.linkedin.com/company/wearecircana
- Address: 203 North LaSalle Street,Suite 150 Chicago, IL 60601
- Phone Number: +1.312.726-1221
- Instagram: www.instagram.com/wearecircana
- Email: mediarequest@circana.com

9. Indicium
Indicium focuses on modern data stack and AI work that turns scattered data into usable foundations for sales and marketing analytics. The consultancy builds reliable pipelines, defines governance, and streamlines architectures so campaign, commerce, and CRM data can move cleanly into models and dashboards. IndiMesh, an AI enabled delivery framework, structures how work is planned, validated, and improved, which helps keep quality consistent across projects and teams.
For go to market needs, Indicium centers on practical outcomes like cleaner source integration, faster access to insights, and durable data products. Typical scopes include architecture modernization, performance tuning, and controls that keep data trustworthy over time. Industry coverage spans retail and CPG, finance, manufacturing, media, and pharmaceutical, with patterns reused to support segmentation, attribution logic, forecasting, and reporting without locking into a single tool stack.
Key Highlights:
- Pure play focus on modern data stack and AI
- Emphasis on data reliability, governance, and performance
- IndiMesh framework to standardize delivery and quality control
- Support for real time insights and durable data products
- Industry experience across retail and CPG, finance, manufacturing, media, and pharmaceutical
- Presence in the United States and Latin America with partner recognition and certifications
Services:
- Sales and Marketing Analytics
- AI and data advisory for strategy, readiness, and roadmaps
- Data engineering for pipelines, modeling, and architecture modernization
- Data governance design with policies, lineage, and access controls
- Analytics enablement for sales and marketing use cases
- Data product development for measurement, activation, and ROI tracking
- Training, knowledge transfer, and ongoing optimization
Contact Information:
- Website: indicium.ai
- LinkedIn: www.linkedin.com/company/indicium-ai
- Address: 119 West 24th St.New York, NY
- Instagram: www.instagram.com/indiciumtech

10. Svitla Systems
Svitla Systems publishes a practical guide that lays out how marketing analytics turns raw data into decisions. The material explains audience segmentation, personalization, content evaluation, and ROI thinking without leaning on hype. Data sources are mapped clearly across website analytics, CRM records, social metrics, and cross-channel performance, with notes on how each source fits common questions in the funnel.
The guide also outlines techniques that are now standard in sales and marketing analytics, including predictive models, machine learning, and attribution logic. Examples highlight where analytics supports targeting, campaign tuning, and product direction. The broader service catalog positions the company to help with integration, dashboards, and model development when teams move from concepts to implementation.
Key Highlights:
- Straightforward overview of marketing analytics concepts and use cases
- Clear mapping of data sources across web, CRM, social, and paid channels
- Emphasis on segmentation, personalization, and content optimization
- Practical view of predictive analytics, machine learning, and attribution
- Examples that connect analytics choices to day-to-day marketing work
- Related resources for deeper dives and next steps
Services:
- Sales and Marketing Analytics
- Consulting on data strategy for marketing analytics
- Data integration from marketing platforms and CRM systems
- Dashboard and reporting development for campaign and pipeline views
- Predictive modeling for propensity, churn, and lead scoring
- Segmentation, testing design, and measurement frameworks
- Training and handoff to in-house teams for ongoing use
Contact Information:
- Website: svitla.com
- LinkedIn: www.linkedin.com/company/svitla-systems-inc-
- Address: 100 Meadowcreek Drive, Suite 102 Corte Madera, California 94925
- Phone Number: +1 415 891 8605
- Facebook: www.facebook.com/SvitlaSystems
- Twitter: x.com/SvitlaSystemsIn
- Instagram: www.instagram.com/svitlasystems
- Email: s.filimoshkina@svitla.com
Conclusion
Sales and marketing analytics in the USA spans a stack of complementary capabilities: data foundations for collection and governance, external behavioral signals, analytics and machine learning, consumer research, and market measurement. Platforms and partners in this review cover different layers of that stack, from unified data clouds and workflow automation to clickstream feeds, insight systems for creative testing, and category benchmarking suites.
Effective programs rely on fit and interoperability rather than a single tool. Clear data models, governed pipelines, shared metric definitions, and role-specific reporting form the core. Iterative testing validates creative and product choices before major spend. Market measurement closes the loop by grounding results in real activity. Services partners help with architecture, quality controls, and adoption. Kept simple and repeatable, this mix turns scattered inputs into decisions that can be explained, audited, and scaled.