Additional Bus Stop Time is the average time that customers spend waiting at a stop beyond their scheduled wait time. Additional Travel Time is the average time customers spend onboard a bus beyond their scheduled travel time. Customer Journey Time Performance is the percentage of customers whose journeys are completed within 5 minutes of their scheduled time. Additional years of data are available in separate datasets on data.ny.gov.

Additional Bus Stop Time is the average time that customers spend waiting at a stop beyond their scheduled wait time.

Additional Travel Time is the average time customers spend onboard a bus beyond their scheduled travel time.

Customer Journey Time Performance is the percentage of customers whose journeys are completed within 5 minutes of their scheduled time.

This dataset covers data between 2017 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Customer-Journey-Focused-Metrics-Beginning/wrt8-4b59/about_data.

Additional Platform Time (APT) is the estimated average extra time that customers spend waiting on the platform for a train, compared with their scheduled wait time. Additional Train Time (ATT) is the estimated average extra time that customers spend onboard a train, compared to the time they would have spent onboard a train if trains were running according to schedule. Additional Journey Time (AJT) is the estimated average extra time that customers spend on their journey, compared with the scheduled time. It is the sum of the additional time spent waiting on platforms (APT) and the additional time spent onboard a train (ATT). Journey Time is the average total time a customer spends on their journey waiting for and riding a specific train line. Customer Journey Time Performance (CJTP) is the estimated percentage of rider trips that are completed within 5 minutes of their scheduled time. These measures are estimated for each individual train a customer uses in their journey, also known as an unlinked trip, not all trains in their journey combined.

This dataset tracks annual total students amount from 2019 to 2023 for Journey

Additional Platform Time (APT) is the estimated average extra time that customers spend waiting on the platform for a train, compared with their scheduled wait time.

Additional Train Time (ATT) is the estimated average extra time that customers spend onboard a train, compared to the time they would have spent onboard a train if trains were running according to schedule.

Additional Journey Time (AJT) is the estimated average extra time that customers spend on their journey, compared with the scheduled time. It is the sum of the additional time spent waiting on platforms (APT) and the additional time spent onboard a train (ATT).

Journey Time is the average total time a customer spends on their journey waiting for and riding a specific train line.

Customer Journey Time Performance (CJTP) is the estimated percentage of rider trips that are completed within 5 minutes of their scheduled time.

These measures are estimated for each individual train a customer uses in their journey, also known as an unlinked trip, not all trains in their journey combined.

This dataset covers data between 2015 and 2019. For data from 2020 on, use dataset https://data.ny.gov/Transportation/MTA-Subway-Customer-Journey-Focused-Metrics-Beginn/4apg-4kt9.

This dataset tracks annual total classroom teachers amount from 2021 to 2023 for The Journey School

Additional Bus Stop Time is the average time that customers spend waiting at a stop beyond their scheduled wait time. Additional Travel Time is the average time customers spend onboard a bus beyond their scheduled travel time. Customer Journey Time Performance is the percentage of customers whose journeys are completed within 5 minutes of their scheduled time. This dataset covers data between 2017 and 2019. For data from 2020 on, use https://data.ny.gov/Transportation/MTA-Bus-Customer-Journey-Focused-Metrics-Beginning/wrt8-4b59/about_data.

Learn more about Market Research Intellect's Customer Journey Analytics Software Market Report, valued at USD 1.5 billion in 2024, and set to grow to USD 4.2 billion by 2033 with a CAGR of 15.2% (2026-2033).

The Customer Journey Analytics Market size was valued at USD 4.16 USD Billion in 2023 and is projected to reach USD 8.37 USD Billion by 2032, exhibiting a CAGR of 10.5 % during the forecast period. Customer journey analytics is the science of analysing customer behaviour across touchpoints and over time to measure the impact of customer behaviour on business outcomes. This approach continues to gain momentum as enterprises recognise the value of customer journeys to monitor customer experience performance and identify opportunities for improvement. Customer journey analytics often begins with a customer journey map, which is a visual representation of every step the customer goes through with your business. Then, it applies data on how your customer behaves throughout different phases of that map, to help you assess the effect your customers’ journey has on your business, or what’s holding customer’s back from completing that journey and purchasing a product. Often, machine learning, python, and various software tools like Adobe or Woopra are employed to fully measure customer interaction. Recent developments include: February 2024 – Accenture announced its plans to acquire GemSeek Consulting, a Bulgarian customer analytics firm, for an undisclosed amount. Post-acquisition, more than 170 employees of GemSeek will join Accenture., November 2023 – Monetate announced the availability of a journey analytics tool that helps create unique and meaningful digital connections between brands and their customers. The customer journey analytics tool is built for every new Monetate-launched experience for fast results and evaluation., September 2022 – Pegasystems Inc. introduced Pega Customer Data Connectors. This will help clients to connect with their existing customer data platforms. These connectors allow businesses to connect to platforms such as ZineOne, Celebrus, and Adobe., March 2022 – Adobe Systems, Inc. introduced a new feature in its customer journey analytics tool for tracking customers under Adobe’s Experience cloud. The tool will provide real-time data of the customer journey., January 2022 – IgniteTech engaged in an agreement to acquire assets of Bryter CX. Through this acquisition, the company aimed to expand its business capabilities to enhance customer experience across various industries., December 2021 – Pegasystems Inc. launched a new AI-powered customer journey tool to enhance traditional customer journey experience. The new solution uses propensity modeling and intelligent decision making to develop optimal customer interactions., June 2021 – Acxiom LLC engaged in a partnership with MullenLowe Profero to launch Fuse, a customer data platform for marketing. The platform will help brands to provide connected customer experience in real time.. Key drivers for this market are: Growing Demand to Provide Better Customer Experience to Drive Market Expansion. Potential restraints include: Increasing Cybersecurity Threats to Hamper Market Growth. Notable trends are: Rising Integration of Artificial Intelligence (AI) Technology with Analytics Solution to Augment Industry Growth.

This dataset tracks annual total students amount from 1987 to 2023 for Journey Elementary School

Journey mapping tools enable comprehensive visualization of customer touchpoints. Journey analytics solutions provide real-time insights into customer behavior. Personalized campaigns leverage customer journey data to deliver targeted messaging.

Report Coverage & Deliverables Market Segmentations: Type:

Journey Mapping Journey Analytics Other

Application:

Large Enterprises SMEs

Regional Insights:

North America: Dominates the market with innovative vendors. Europe: Strong demand for personalized customer experiences. Asia-Pacific: Rapid growth due to digital adoption and increasing consumer expectations.

Customer Journey Solution Trends

Personalization and automation of customer journeys. Data visualization and AI-powered insights. Integration with multiple platforms for a holistic view of the customer. Focus on customer engagement and loyalty.

Driving Forces: What's Propelling the Customer Journey Solution

Increasing customer expectations for seamless experiences. Data analytics and AI-driven insights. Growing need for customer segmentation and personalization. Digital transformation and customer-centric strategies.

Challenges and Restraints in Customer Journey Solution

Data integration and standardization issues. Complexity of customer journey mapping. Lack of skilled professionals in customer journey analytics.

Emerging Trends in Customer Journey Solution

Immersive customer experiences through virtual and augmented reality. Real-time journey analytics for instant insights. Predictive analytics to anticipate customer needs. Gamification and interactive content to enhance customer engagement.

Growth Catalysts in Customer Journey Solution Industry

Growing adoption of cloud-based solutions. Increasing focus on customer satisfaction and loyalty. Rising investments in customer experience technologies. Government initiatives to promote digital transformation.

Leading Players in the Customer Journey Solution

Act-On Software: Clarabridge: CSG: Gainsight: Genesys: Hotjar: Lucidchart: Microsoft: Miro: Quadient: SAS: Smaply: SugarCRM: Thunderhead: Totango: Touchpoint: UXPressia: Woopra:

Significant Developments in Customer Journey Solution Sector

Acquisition of CSG by Cognizant. Partnership between Gainsight and Microsoft. Launch of Genesys Cloud CX Platform.

This statistic shows the average excess time it took to complete a London Underground journey beyond the scheduled time, from 2010/11 to 2017/18. In the period of consideration, excess journey time has been decreasing, amounting to 4.63 minutes in 2017/18.

Dataset for O1 Replication Journey: A Strategic Progress Report

  Usage

from datasets import load_dataset dataset = load_dataset("GAIR/o1-journey", split="train")

  Citation

If you find our dataset useful, please cite: @misc{o1journey, author = {Yiwei Qin and Xuefeng Li and Haoyang Zou and Yixiu Liu and Shijie Xia and Zhen Huang and Yixin Ye and Weizhe Yuan and Zhengzhong Liu and Yuanzhi Li and Pengfei Liu}, title = {O1 Replication Journey: A Strategic Progress Report –… See the full description on the dataset page: https://huggingface.co/datasets/GAIR/o1-journey.

Customer Journey Mapping Software Market size was valued to be USD 10.8 Billion in the year 2024 and it is expected to reach USD 53.6 Billion in 2032, at a CAGR of 13.8% over the forecast period of 2026 to 2032.

Customer Journey Mapping (CJM) software is a specialist application that helps organizations see and analyze the various stages of a customer's interaction with a firm. This program delivers a full and comprehensive perspective of the customer experience from the first contact to the final encounter allowing businesses to optimize their operations and increase overall customer satisfaction

. The essence of CJM software is its capacity to record and map out the customer journey in a visual manner such as a flowchart or diagram which aids in identifying pain points, understanding customer wants, and aligning business goals appropriately.

The primary application of customer journey mapping software is to improve customer experience (CX). Understanding the various stages and touchpoints of the customer journey allows firms to discover pain points and areas for improvement. For example, if a customer journey map shows that consumers regularly abandon their shopping carts at the payment stage, the company can investigate and fix the problem whether by streamlining the checkout process, providing clearer instructions, or offering more payment options.

CJMS will use advanced analytics to deliver more detailed insights into client behavior and preferences. The integration of big data and predictive analytics will enable organizations to anticipate client wants and identify possible problems before they arise. This proactive strategy will allow businesses to modify their services and interactions in real-time resulting in a smooth and rewarding consumer experience. Businesses will obtain a holistic picture of the consumer journey by analyzing massive volumes of data from multiple touchpoints revealing patterns and trends that can be used to guide strategic choices and optimize marketing efforts.

Enhanced Attention to Customer Experience (CX): The importance of delivering superior customer experiences for sustaining brand loyalty and boosting revenue is increasingly acknowledged by businesses. The ability of customer journey mapping software to enable businesses to pinpoint and refine customer interaction points throughout their journey is leading to enhanced CX and competitive differentiation.

Embracing Omnichannel Marketing: The engagement of modern consumers with brands through diverse platforms (including websites, social media, and mobile apps) is noted. The tracking of these multi-channel interactions and the understanding of customer behavior facilitated by customer journey mapping software assist in tailoring marketing efforts for better engagement.

The Requirement for Insights Based on Data: The necessity for insights driven by data in comprehending customer behavior and preferences is recognized by businesses. Through the aggregation and examination of customer information from various sources, customer journey mapping software offers critical insights for augmenting customer engagement and loyalty.

Regulatory Compliance Demands: Certain sectors are governed by regulations that enforce data privacy and security standards. Tools for meticulous tracking and management of customer information are provided by customer journey mapping software aiding businesses in meeting these regulatory requirements.

Increased Utilization Among SMBs: The adoption of customer journey mapping software previously more common among larger corporations, is now expanding to Small and Medium Businesses (SMBs). The appeal of this technology to a broader business spectrum is being enhanced by cloud-based solutions and subscription models.

Additional Bus Stop Time is the average time that customers spend waiting at a stop beyond their scheduled wait time. Additional Travel Time is the average time customers spend onboard a bus beyond their scheduled travel time. Customer Journey Time Performance is the percentage of customers whose journeys are completed within 5 minutes of their scheduled time.

Additional Platform Time (APT) is the estimated average extra time that customers spend waiting on the platform for a train, compared with their scheduled wait time. Additional Train Time (ATT) is the estimated average extra time that customers spend onboard a train, compared to the time they would have spent onboard a train if trains were running according to schedule. Additional Journey Time (AJT) is the estimated average extra time that customers spend on their journey, compared with the scheduled time. It is the sum of the additional time spent waiting on platforms (APT) and the additional time spent onboard a train (ATT). Journey Time is the average total time a customer spends on their journey waiting for and riding a specific train line. Customer Journey Time Performance (CJTP) is the estimated percentage of rider trips that are completed within 5 minutes of their scheduled time. These measures are estimated for each individual train a customer uses in their journey, also known as an unlinked trip, not all trains in their journey combined.

Additional Platform Time (APT) is the estimated average extra time that customers spend waiting on the platform for a train, compared with their scheduled wait time. Additional Train Time (ATT) is the estimated average extra time that customers spend onboard a train, compared to the time they would have spent onboard a train if trains were running according to schedule. Additional Journey Time (AJT) is the estimated average extra time that customers spend on their journey, compared with the scheduled time. It is the sum of the additional time spent waiting on platforms (APT) and the additional time spent onboard a train (ATT). Journey Time is the average total time a customer spends on their journey waiting for and riding a specific train line. Customer Journey Time Performance (CJTP) is the estimated percentage of rider trips that are completed within 5 minutes of their scheduled time. These measures are estimated for each individual train a customer uses in their journey, also known as an unlinked trip, not all trains in their journey combined. This dataset covers data between 2015 and 2019. For data from 2020 on, use dataset https://data.ny.gov/Transportation/MTA-Subway-Customer-Journey-Focused-Metrics-Beginn/4apg-4kt9.

Market Analysis The global Customer Journey Tools market is projected to reach USD 2,186.7 million by 2033, growing at a CAGR of 8.9%. The increasing complexity of customer journeys and the need for personalized experiences are driving the demand for these tools. Enterprises are leveraging journey mapping, management, and analytics to gain insights into customer behavior, optimize their touchpoints, and create seamless and engaging experiences. Trends and Competitive Landscape Key trends in the Customer Journey Tools market include the adoption of AI and machine learning for personalized recommendations, omnichannel journey mapping, and real-time journey monitoring. The market is highly competitive, with major players such as Adobe, Oracle, Salesforce, and SAP offering comprehensive suites that cater to various industries and enterprise sizes. Companies such as Act-On Software, Clarabridge, and Hotjar provide specialized tools for specific aspects of customer journey management. Regional growth is expected to be driven by North America and Europe, followed by Asia Pacific and the Middle East & Africa.

Do you know your customers well? Are you able to track their journey with your brand from start to finish? If the answer to either of these questions is no, you likely have a major blindspot into your customers’ motivations and needs. And therefore, you probably aren’t providing a great customer experience. Understanding the route […]

Echo’s Customer Journey dataset reveals where visitors go before and after visiting a specific POI — empowering brands with a dynamic view of consumer behavior.

Focused on the U.S. market, this GDPR-compliant, non-PII dataset uncovers brand and category visitation patterns around a location, helping businesses map influence zones, identify co-visited brands, and refine their location strategy.

Key data points include: - Pre- and post-visit brand/category behaviors - Customer journey paths linked to POIs - Weekly, monthly, and quarterly aggregations - Cleaned, normalized, non-PII mobility data - US coverage with real-world behavioral insights

Ideal for retail, real estate, and strategy teams aiming to optimize site selection, improve customer experience, and outsmart competition with movement-based intelligence.