Dataset

This dataset was created by cthide

Released under CC0: Public Domain

Contents

During a survey among B2B marketing professional in the United States, conducted in 2019, it was found that according to ** percent of respondents, articles and blog posts were considered the most valuable content for moving prospects through the sales funnel. Further ** percent said that reviews and customer testimonials helped them move their prospects through the B2B sales funnel.

Marketing Funnel by Olist

Welcome! This is a marketing funnel dataset from sellers that filled-in requests of contact to sell their products on Olist Store. The dataset has information of 8k Marketing Qualified Leads (MQLs) that requested contact between Jun. 1st 2017 and Jun 1st 2018. They were randomly sampled from the total of MQLs.

Its features allows viewing a sales process from multiple dimensions: lead category, catalog size, behaviour profile, etc.

This is real data, it has been anonymized and sampled from the original dataset.

Joining with Brazilian E-Commerce Public Dataset by Olist

This dataset can also be linked to the Brazilian E-Commerce Public Dataset by Olist using seller_id. There you will find information of 100k orders, price, payment, freight performance, customer location, product attributes and finally reviews written by customers.

Instructions on joining are available on this Kernel.

Context

This dataset was generously provided by Olist, the largest department store in Brazilian marketplaces. Olist connects small businesses from all over Brazil to channels without hassle and with a single contract. Those merchants are able to sell their products through the Olist Store and ship them directly to the customers using Olist logistics partners. See more on our website: www.olist.com

A seller join Olist through a marketing and sales funnel that was made public at this dataset. Description of steps:

1. Sign-up at a landing page.
2. Get contacted by a Sales development Representative (SDR), confirm some information and schedule a consultancy.
3. Consultancy is made by a Sales Representative (SR). The SR may close the deal (lead sing up) or lose the deal (led leaves without sign in)
4. Lead becomes a seller and starts building his catalog on Olist.
5. His products are published on marketplaces and ready to sell!

Attention

1. A seller MQL might come from multiple sources (he might subscribe on two different landing pages, for instance).

Examples of Landing Pages

https://i.imgur.com/jKZTP5e.png" alt="Example of a landing page"> https://i.imgur.com/mAljYcq.png" alt="">

Data Schema

The data is divided in multiple datasets for better understanding and organization. Please refer to the following data schema when working with it: https://i.imgur.com/Jory0O3.png" alt="">

Inspiration

Here are some inspiration for possible outcomes from this dataset.

Customer Lifetime Value:
How much a customer will bring in future revenue?

SR/SDR Optimization:
Which SR or SDR should talk with each kind of lead?

Closing Prediction:
Which deals will be closed?

EDA:
Just Have Fun!

Acknowledgements

Thanks to Olist for releasing this dataset.

The market for funnel visualization tools is experiencing robust growth, driven by the increasing need for businesses to optimize their sales and marketing funnels for improved conversion rates. This demand is fueled by the rise of data-driven decision-making and the adoption of sophisticated marketing strategies across various industries. Let's assume, for illustrative purposes, a 2025 market size of $1.5 billion, with a Compound Annual Growth Rate (CAGR) of 15% projected through 2033. This signifies a considerable expansion, reaching an estimated market value of approximately $5 billion by 2033. This growth is propelled by several key factors: the increasing adoption of cloud-based solutions, the integration of AI and machine learning for predictive analytics within funnels, and a growing need for visual representations of complex customer journeys. The ease of use and collaborative features of these tools also contribute significantly to their market appeal. Several trends are shaping the future of this market. The increasing demand for more sophisticated analytics capabilities, including predictive modelling and A/B testing integration, is driving innovation. Furthermore, the market is seeing a shift towards specialized solutions tailored for specific industries, such as e-commerce or SaaS. While challenges remain, such as the need for user training and the integration of these tools with existing marketing technology stacks, the overall market outlook remains positive, driven by the undeniable value these tools bring in streamlining marketing processes and optimizing business performance. The competitive landscape is dynamic, with established players like Google and Microsoft competing alongside specialized vendors such as Funnelytics, MindMeister, and Funnel Flows. This competitive environment fosters innovation and drives the development of increasingly user-friendly and feature-rich solutions.

The Sales Funnel Software market is a dynamic and rapidly evolving sector that plays a crucial role in helping businesses optimize their sales processes and enhance conversion rates. As organizations increasingly recognize the importance of managing customer journeys effectively, these software solutions offer an in

Comprehensive benchmark data for each SaaS funnel stage, including free trial, lead, MQL, SQL, SAL, and closed won.

The Funnel Builder Software market has emerged as a cornerstone for businesses aiming to optimize their sales processes and enhance customer journeys. As organizations increasingly seek to convert leads into loyal customers, funnel builder software provides a robust solution by streamlining the sales funnel, from in

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Funnel Analytics Platforms Market Outlook

The global market size for Funnel Analytics Platforms was valued at approximately USD 1.5 billion in 2023, with expectations to grow to around USD 4.2 billion by 2032, reflecting a Compound Annual Growth Rate (CAGR) of 12.3% over the forecast period. The market is experiencing significant growth due to the increasing need for businesses to analyze and optimize customer journey data, improve conversion rates, and enhance overall marketing strategies.

One of the primary growth factors for the Funnel Analytics Platforms market is the rising adoption of data-driven decision-making processes across various industries. Companies are increasingly recognizing the importance of understanding the customer journey to optimize their marketing and sales strategies. This has led to a surge in demand for advanced analytics platforms capable of providing detailed insights into each stage of the sales funnel. Additionally, as competition intensifies, businesses are investing heavily in tools that can help them gain a competitive edge by maximizing their conversion rates and improving customer retention.

Furthermore, the rapid digital transformation across industries has significantly contributed to the growth of the Funnel Analytics Platforms market. As businesses continue to shift towards digital channels for marketing and sales, the volume of data generated has increased exponentially. This has created a pressing need for sophisticated analytics solutions that can efficiently process and analyze large datasets to extract actionable insights. The growing focus on personalized marketing and customer-centric approaches has further fueled the demand for these platforms, as they enable companies to tailor their strategies based on precise data analysis.

Technological advancements and innovations in analytics tools are also playing a crucial role in driving market growth. The integration of artificial intelligence (AI) and machine learning (ML) technologies into funnel analytics platforms has enhanced their capabilities, allowing for more accurate predictions and deeper insights. These advanced features enable businesses to identify potential bottlenecks in the customer journey, forecast trends, and make informed decisions to optimize their marketing efforts. As a result, there is an increasing preference for AI-powered analytics solutions, which is expected to propel market growth further.

In terms of regional outlook, North America currently holds the largest market share in the Funnel Analytics Platforms market, driven by the presence of numerous established players and the high adoption rate of advanced analytics solutions. The region is expected to maintain its dominance over the forecast period, supported by continuous technological advancements and significant investments in analytics infrastructure. Meanwhile, the Asia Pacific region is anticipated to witness the highest growth rate, primarily due to the rapid digitalization of emerging economies, increasing internet penetration, and growing awareness of the benefits of data-driven decision-making among businesses.

Component Analysis

The Funnel Analytics Platforms market is segmented by component into software and services. The software segment holds a significant share of the market, driven by the growing demand for robust and comprehensive analytics solutions. These software platforms offer a wide range of features, including data visualization, real-time analytics, and predictive modeling, which are essential for understanding and optimizing the customer journey. The increasing adoption of cloud-based solutions has further propelled the growth of the software segment, as it allows for seamless integration, scalability, and accessibility.

Services, on the other hand, are also witnessing substantial growth, as businesses require expert consultation and support to effectively implement and utilize funnel analytics platforms. The services segment includes professional services such as consulting, training, and support, as well as managed services. Consulting services are particularly in demand, as companies seek guidance on selecting the right analytics tools, setting up data infrastructure, and interpreting the insights generated by these platforms. Additionally, managed services, which involve the outsourcing of analytics operations to third-party providers, are gaining popularity as they allow businesses to focus on their core activities while leveraging expert analytics capabilities.

The integration of AI and ML technologies into funnel anal

Snapshot img

Sales Intelligence Market Size 2025-2029

The sales intelligence market size is forecast to increase by USD 4.86 billion at a CAGR of 17.6% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing demand for custom-made solutions that cater to the unique needs of businesses. This trend is fueled by the rapid advancements in cloud technology, enabling real-time access to comprehensive and accurate sales data from anywhere. However, the high initial cost of implementing sales intelligence solutions can act as a barrier to entry for smaller organizations. Furthermore, regulatory hurdles impact adoption in certain industries, requiring strict compliance with data privacy regulations. With the advent of cloud computing and SaaS customer relationship management (CRM) systems, businesses are able to store and access customer information more efficiently. Moreover, the exponential growth of marketing intelligence, driven by big data and natural language processing (NLP) technologies, enables organizations to gain valuable insights from customer interactions.
Despite these challenges, the market's potential is vast, with opportunities for growth in sectors such as healthcare, finance, and retail. Companies seeking to capitalize on these opportunities must navigate these challenges effectively, investing in cost-effective solutions and ensuring regulatory compliance. By doing so, they can gain a competitive edge through improved lead generation, enhanced customer insights, and streamlined sales processes.

What will be the Size of the Sales Intelligence Market during the forecast period?

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In today's business landscape, sales intelligence has become a critical driver of revenue growth. The go-to-market strategy of companies relies heavily on predictive lead scoring and sales pipeline analysis to prioritize opportunities and optimize resource allocation. Sales operations teams leverage revenue intelligence to gain insights into sales performance and identify trends. Data quality is paramount in sales analytics dashboards, ensuring accurate sales negotiation and closing. Sales teams collaborate using sales enablement platforms, which integrate CRM systems and provide sales performance reporting. Sales process mapping and sales engagement tools enable effective communication and productivity. Conversational AI and sales automation software streamline sales outreach and prospecting efforts. Messaging and alerting features help sales teams engage with potential customers effectively, while chatbots facilitate efficient communication.
Sales forecasting models and intent data inform sales management decisions, while salesforce automation and data governance ensure data security and compliance. Sales effectiveness is enhanced through sales negotiation training and sales enablement training. The sales market is dynamic, with trends shifting towards advanced analytics and AI-driven solutions. Companies must adapt to stay competitive, focusing on data-driven strategies and continuous improvement.

How is this Sales Intelligence Industry segmented?

The sales intelligence industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud-based
  On-premises


Component

  Software
  Services


Application

  Data management
  Lead management


End-user

  IT and Telecom
  Healthcare and life sciences
  BFSI
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period. In today's business landscape, sales intelligence platforms have become indispensable tools for organizations seeking to optimize their sales processes and gain a competitive edge. These solutions offer various features, including deal tracking, win-loss analysis, data mining, sales efficiency, customer journey mapping, sales process optimization, pipeline management, sales cycle analysis, revenue optimization, market research, data integration, customer segmentation, sales engagement, sales coaching, sales playbook, sales process automation, business intelligence (BI), predictive analytics, target account identification, lead generation, account-based marketing (ABM), sales strategy, sales velocity, real-time data, artificial intelligence (AI), sales insights, sales enablement content, sales enablement, sales funnel optimization, sales performance metrics, competitive intelligence, sales methodology, customer churn, and machine learning (ML) for sales forecasting and buyer persona deve

The Funnel Analytics Platforms market has emerged as a vital component in the landscape of digital marketing and sales optimization, providing organizations with the capability to analyze customer journeys and enhance conversion rates. These platforms enable businesses to visualize the customer funnel, identify drop

During a 2024 survey among marketing decision-makers worldwide, around ** percent of respondents reported tracking their businesses' marketing/sales pipeline as a key performance indicator (KPI). Approximately ** percent of the interviewees from business-to-consumer (B2C) brands selected marketing/sales funnel. Less than half of overall surveyed marketers included customer lifetime value among their KPIs.

From 2024 to 2025, free trials showed consistently higher conversion rates into paid subscriptions across app categories in comparison to other types of funnels, such as direct purchases. In health and fitness apps, free trial to paid subscription had a conversion rate of 38.56 percent, while installation to trial had a much lower conversion rate of 4.79 percent. The funnel of direct paywalls after installation performed the best with photo and video app among all app categories, but still at lower conversion rates than the other funnels.

Business level intent across 17 million businesses, 188 countries and billions of signals. Intent Scores are calculated from our diverse set of signals featuring research activities and habits, observations of pain points and product life cycles using our innovative behind-the-firewall technology, and their readiness to invest in technology, all broken out into 50 technology segments. It is simple to overlay with your existing datasets, with the functionality to match on the business domain, allowing you to unlock insights about which segments a business is showing a propensity to buy, as well as the brands they are researching, the keywords and sentiment behind the intent. You can understand whether they are looking at a new technology, upgrading existing tech or dealing with technical issues. The SWZD B2B Intelligence database has everything you need to overlay intelligence with your existing Sales & Marketing efforts, allowing you to refine campaign targeting tactics, filter prospect lists, and distinguish businesses that are in the upper, middle or lower phase of the Sales funnel.

The Lead Management Software market is rapidly evolving, driven by the increasing need for businesses to efficiently manage prospective customers throughout the sales funnel. This technology enables organizations to capture leads from various sources, nurture them through tailored communication, and ultimately conve

Lead Capture Software Market size was valued at USD 4.01 Billion in 2023 and is projected to reach USD 12 Billion by 2030, growing at a CAGR of 22% during the forecast period 2024-2030.

Global Lead Capture Software Market Drivers

The market drivers for the Lead Capture Software Market can be influenced by various factors. These may include:

Growing Stress on Digital Marketing: As companies depend more and more on digital platforms to connect with their target markets, lead generation software is becoming more and more in demand. With the use of lead capture solutions, businesses can efficiently gather contact details from prospective clients via email campaigns, social media pages, and websites. Customer relationship management, or CRM, is becoming more and more important. Lead capture software frequently connects with CRM systems, enabling companies to handle leads more skillfully and nurture them through the sales funnel. The need for integrated lead capture and CRM solutions is only going to increase as more businesses realize how important it is to keep up good customer relationships. Concentrate on Lead Generation and Conversion: Businesses in all sectors place a high premium on generating excellent leads and turning them into clients. Tools and features for capturing leads, qualifying them, and assisting in their conversion into paying customers are offered by lead capture software. Advanced lead capture solutions are becoming more and more in demand as businesses look to maximize lead generation and conversion rates. The rise of data-driven marketing: To inform decisions and maximize marketing efforts, data-driven marketing techniques rely on actionable insights obtained from consumer data. In order to gather and analyze consumer data, such as demographics, preferences, and habits, lead capture software is essential. The demand for lead capture software that facilitates data collecting, analysis, and segmentation is rising as data-driven marketing strategies become more widely used. Put Personalization and Customer Experience First: In order to engage consumers and foster brand loyalty, personalized marketing experiences are becoming more and more crucial. With the use of lead capture software, companies can compile useful client information and customize offers and marketing messages to each customer's requirements and preferences. Personalized customer experiences are becoming increasingly important to businesses, which is driving demand for lead capture systems that facilitate segmentation and personalization. Mobile Optimization and Accessibility: Due to the widespread use of mobile devices, customers are using their smartphones and tablets more than ever to interact with brands and access digital content. In response to this trend, lead capture software suppliers are providing mobile-optimized solutions that provide a consistent user experience across all platforms. The need for lead capturing software with flexible design and mobile-friendly features is driven by the increasing significance of mobile accessibility.

Sales Content Copilots Market Outlook

According to our latest research, the global Sales Content Copilots market size reached USD 1.87 billion in 2024, with a robust compound annual growth rate (CAGR) of 21.4% projected through the forecast period. By 2033, the market is expected to achieve a value of USD 12.1 billion, driven by increasing adoption of AI-powered sales enablement tools, the need for personalized customer engagement, and rapid digital transformation across industries. As per our comprehensive analysis, the market's expansion is being accelerated by enterprises’ growing emphasis on leveraging intelligent content solutions to boost sales productivity and operational efficiency.

One of the primary growth factors for the Sales Content Copilots market is the escalating demand for AI-driven sales enablement platforms that empower sales teams with real-time, context-aware content recommendations. Organizations are increasingly seeking solutions that not only centralize sales collateral but also personalize content delivery based on buyer personas and sales stages. As sales cycles become more complex and customer expectations for tailored experiences rise, Sales Content Copilots provide a strategic advantage by ensuring that sales representatives have immediate access to the most relevant information, thus improving conversion rates and shortening deal cycles. The integration of advanced analytics and natural language processing further enhances the capability of these platforms to interpret buyer intent and deliver actionable insights, making them indispensable in modern sales ecosystems.

Another significant driver is the surge in remote and hybrid work models, which has heightened the need for efficient content management and collaboration tools. Sales teams are now more geographically dispersed, necessitating seamless access to up-to-date sales materials, training resources, and customer engagement content. Sales Content Copilots facilitate this by offering centralized repositories, AI-powered search functionalities, and collaborative features that streamline content sharing and version control. The ability to track content usage and effectiveness also enables organizations to refine their sales strategies and optimize resource allocation. As businesses continue to prioritize agility and digital connectivity, the adoption of these intelligent platforms is expected to accelerate, further propelling market growth.

Furthermore, the proliferation of data-driven decision-making in sales operations is catalyzing the adoption of Sales Content Copilots. Enterprises are leveraging these solutions to harness actionable insights from customer interactions, content engagement metrics, and sales performance data. By integrating with CRM and marketing automation systems, Sales Content Copilots provide a holistic view of the sales funnel, enabling data-backed content recommendations and performance optimization. This analytical approach not only enhances sales effectiveness but also supports continuous learning and improvement across sales teams. The convergence of AI, analytics, and automation within these platforms is anticipated to unlock new growth opportunities and drive sustained market expansion over the coming years.

From a regional perspective, North America currently dominates the Sales Content Copilots market, accounting for the largest share due to early technology adoption, presence of key market players, and high digital maturity among enterprises. However, Asia Pacific is emerging as a high-growth region, fueled by rapid digitalization, expanding SME sector, and increasing investments in sales enablement technologies. Europe also holds a significant share, driven by stringent data privacy regulations and the need for compliant, efficient sales content management solutions. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth, supported by rising enterprise IT spending and growing awareness of the benefits of AI-powered sales tools. The global landscape is characterized by a dynamic interplay of regional market forces, technology adoption rates, and evolving customer expectations.

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Funnel Analytics for E-commerce Market Outlook

According to our latest research, the global Funnel Analytics for E-commerce market size reached USD 2.8 billion in 2024, reflecting a robust industry expansion driven by increasing digitalization and advanced analytics adoption. The market is projected to grow at a CAGR of 15.2% from 2025 to 2033, with the total market value anticipated to reach USD 9.1 billion by 2033. This accelerated growth is primarily attributed to the rising demand for data-driven insights to optimize customer journeys and conversion rates across e-commerce platforms, as businesses seek to enhance their competitive edge and operational efficiency.

One of the key growth factors fueling the Funnel Analytics for E-commerce market is the exponential increase in online shopping activities worldwide. As consumers shift their purchasing behaviors toward digital channels, e-commerce businesses are increasingly leveraging funnel analytics to monitor, analyze, and optimize every stage of the customer journey. The proliferation of mobile commerce, social media shopping, and personalized digital experiences has made it critical for retailers to understand bottlenecks and drop-off points in their sales funnels. Funnel analytics tools enable e-commerce companies to visualize customer pathways, identify pain points, and implement targeted interventions that boost conversion rates and revenue. This growing reliance on actionable analytics has created a fertile ground for solution providers to innovate and expand their offerings.

Another significant driver is the rapid advancement in artificial intelligence (AI) and machine learning (ML) technologies, which are being integrated into funnel analytics platforms to deliver deeper, real-time insights. AI-powered analytics can automatically segment users, predict purchasing behaviors, and recommend personalized marketing strategies, making them indispensable for e-commerce enterprises aiming to maximize ROI. The integration of AI and ML enhances the granularity and accuracy of funnel analysis, helping businesses make data-driven decisions faster and more effectively. Additionally, the surge in omnichannel retailing necessitates comprehensive analytics solutions that can track customers across multiple touchpoints, further propelling the adoption of sophisticated funnel analytics tools.

The expanding ecosystem of third-party integrations and APIs is also playing a pivotal role in the growth of the Funnel Analytics for E-commerce market. Modern e-commerce platforms demand seamless interoperability with CRM systems, marketing automation tools, payment gateways, and customer support solutions. Funnel analytics solutions that offer extensive integration capabilities enable businesses to unify disparate data sources and gain a holistic view of customer behavior. This interoperability not only streamlines operations but also empowers organizations to create more cohesive and personalized customer experiences. As e-commerce businesses increasingly prioritize end-to-end visibility and automation, the demand for integrated funnel analytics solutions is expected to surge in the coming years.

Regionally, North America continues to dominate the Funnel Analytics for E-commerce market, accounting for the largest market share in 2024. The region’s leadership is driven by the presence of major e-commerce players, advanced digital infrastructure, and high consumer adoption of online shopping. Europe and Asia Pacific are also witnessing significant growth, with Asia Pacific expected to register the highest CAGR during the forecast period, fueled by rapid e-commerce expansion in China, India, and Southeast Asia. Latin America and the Middle East & Africa are emerging markets, demonstrating increasing adoption of funnel analytics as digital transformation initiatives gain momentum. The regional outlook underscores the global nature of e-commerce growth and the universal need for advanced analytics to remain competitive.

Component Analysis

The Component segment of the Funnel Analytics for E-commerce market is bifurcated into software and services, each playing a distinct yet complementary role in the industry’s evolution. Software solutions represent the backbone of funnel analytics, providing the platforms and tools necessary for data collection, visualization, and actionable insights. These platforms range from standalone funnel analytics tools t

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