32 datasets found
  1. Frequency with which sales professionals used WhatsApp for follow-ups in...

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Frequency with which sales professionals used WhatsApp for follow-ups in Brazil 2024 [Dataset]. https://www.statista.com/statistics/1399050/frequency-sales-whatsapp-follow-ups-brazil/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    During a survey among sales professionals in Brazil published in 2024, around 84 percent reported using WhatsApp daily for negotiations or follow-ups. Around 13 percent used the mobile messaging app in that context at least once a week. According to the same study, WhatsApp was Brazil's top channel for sales leads that year.

  2. Telemarketing Data API | Optimized Call Strategies | 700M Professional...

    • datarade.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). Telemarketing Data API | Optimized Call Strategies | 700M Professional Profiles | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/telemarketing-data-api-optimized-call-strategies-700m-pro-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Zimbabwe, Niger, Syrian Arab Republic, Taiwan, Russian Federation, Seychelles, Egypt, Luxembourg, Comoros, Croatia
    Description

    Success.ai’s Telemarketing Data API empowers your sales, marketing, and business development teams with instant access to over 50 million verified contacts with phone numbers. By providing validated phone numbers and rich segmentation insights, this API ensures every call matters, reducing wasted dials and enhancing engagement.

    Whether you’re executing outbound sales campaigns, conducting customer follow-ups, or nurturing leads, Success.ai’s continuously updated, AI-validated data keeps your telemarketing operations efficient, effective, and fully informed. Backed by our Best Price Guarantee, this solution sets the foundation for improved reach, higher conversions, and a sustained competitive advantage in dynamic global markets.

    Why Choose Success.ai’s Telemarketing Data API?

    1. 50M+ Verified Contacts

      • Access extensive, up-to-date global contact information, including phone numbers, roles, and industries.
      • Leverage AI-driven validation for 99% accuracy, ensuring your team focuses on high-quality leads and reduces time spent on outdated records.
    2. Continuously Updated and Reliable

      • Receive real-time data updates to align with changing market conditions, organizational shifts, and emerging opportunities.
      • Trust in fresh, relevant data to guide your telemarketing strategies and maintain strong conversions over time.
    3. Segmentation and Targeted Outreach

      • Query the API by geographic region, industry vertical, job title, or company size.
      • Deliver personalized messaging and offers, increasing customer satisfaction and closing rates.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global privacy frameworks, ensuring responsible, lawful usage of contact data.
      • Protect brand reputation and mitigate compliance risks by operating within a secure, regulated data environment.

    Data Highlights:

    • 50M+ Verified Contacts: Unlock vast opportunities for outbound calls, customer engagement, and follow-up initiatives.
    • Validated Phone Numbers: Connect quickly and confidently with real decision-makers, enhancing productivity and lowering bounce rates.
    • Segmentation Insights: Tailor campaigns to specific industries, roles, or regions for maximum relevance and resonance.
    • Best Price Guarantee: Maximize ROI on telemarketing efforts, supported by top-tier data at leading market prices.

    Key Features of the Telemarketing Data API:

    1. On-Demand Data Enrichment

      • Seamlessly integrate the API into your CRM or dialer systems for instant enrichment of call lists.
      • Minimize manual data imports and ensure sales reps always have the freshest, most accurate contact information.
    2. Advanced Filtering and Query Options

      • Filter by location, industry, company size, or job function to identify the highest-potential prospects.
      • Focus your calling efforts on those who are most likely to engage, boosting conversion rates and overall efficiency.
    3. Real-Time Validation and Reliability

      • Depend on AI-driven validation processes to maintain data integrity and ensure minimal call wastage.
      • Increase agent productivity, improve caller experiences, and build stronger relationships with verified leads.
    4. Scalable and Flexible Integration

      • Easily integrate the API into existing telemarketing workflows, analytics platforms, or lead management systems.
      • Adjust targeting parameters as goals evolve, ensuring alignment with shifting strategic priorities.

    Strategic Use Cases:

    1. Outbound Sales Campaign Optimization

      • Supply sales teams with accurate, segmented call lists, increasing the likelihood of connecting with qualified leads.
      • Shorten sales cycles and enhance deal closures by focusing on receptive, high-value prospects.
    2. Customer Retention and Upselling

      • Engage existing clients with timely follow-ups, product updates, and personalized offers.
      • Strengthen brand loyalty and maximize customer lifetime value through data-driven outreach.
    3. Market Expansion and Product Launches

      • Identify new territories, verticals, or demographic segments ripe for exploration.
      • Test and refine messaging using real-time data, ensuring product introductions resonate with target audiences.
    4. Seasonal and Event-Driven Campaigns

      • Quickly adapt calling strategies to seasonal trends, promotions, or industry events.
      • Maintain agility, capitalizing on timely opportunities and boosting campaign responsiveness.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality telemarketing data at highly competitive rates, achieving exceptional ROI on every campaign.
    2. Seamless Integration

      • Incorporate the API into existing workflows, minimizing disruptions and enabling faster, smarter call operations.
    3. Data Accuracy with AI Validation

      • Trust in 99% accuracy to guide targeting decisions, improve ag...
  3. Projected global smart speaker sales by type 2019

    • statista.com
    Updated Feb 14, 2022
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    Statista (2022). Projected global smart speaker sales by type 2019 [Dataset]. https://www.statista.com/statistics/961431/worldwide-smart-speaker-sales-by-type/
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    Dataset updated
    Feb 14, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    In 2019, it was estimated that 119 million unit sales will be made of smart speakers with no embedded displays, while 16.9 million unit sales of smart displays will be made. Most of the smart speaker sales are achieved in the United States, which is estimated to be around 41 million units in the year 2019.

    What is the use of an embedded display?

    Smart speakers are often used to answer questions, check the local weather or news, and to control music functions, so most users find it sufficient to utilize a speaker without an embedded display. However, embedded displays can provide the benefits of follow-up visual information after a query is made, as well as video streaming, such as music videos and news stories.

    The growing smart speaker market

    The market value of the smart speaker industry is steadily climbing, and in 2025 its revenue is predicted to reach over 35 billion U.S. dollars worldwide. The vendors with the most unit shipments include Amazon, Google, and Baidu. Both smart speakers and smart displays often use voice assistants, like Amazon Alexa and Google Assistant.

  4. Number of home sales in the U.S. 2014-2024 with forecast until 2026

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 5, 2025
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    Statista (2025). Number of home sales in the U.S. 2014-2024 with forecast until 2026 [Dataset]. https://www.statista.com/statistics/275156/total-home-sales-in-the-united-states-from-2009/
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of home sales in the United States peaked in 2021 at almost seven million after steadily rising since 2018. Nevertheless, the market contracted in the following year, with transaction volumes falling to 4.8 million. Home sales remained muted in 2024, with a mild increase expected in 2025 and 2026. A major factor driving this trend is the unprecedented increase in mortgage interest rates due to high inflation. How have U.S. home prices developed over time? The average sales price of new homes has also been rising since 2011. Buyer confidence seems to have recovered after the property crash, which has increased demand for homes and also the prices sellers are demanding for homes. At the same time, the affordability of U.S. homes has decreased. Both the number of existing and newly built homes sold has declined since the housing market boom during the coronavirus pandemic. Challenges in housing supply The number of housing units in the U.S. rose steadily between 1975 and 2005 but has remained fairly stable since then. Construction increased notably in the 1990s and early 2000s, with the number of construction starts steadily rising, before plummeting amid the infamous housing market crash. Housing starts slowly started to pick up in 2011, mirroring the economic recovery. In 2022, the supply of newly built homes plummeted again, as supply chain challenges following the COVID-19 pandemic and tariffs on essential construction materials such as steel and lumber led to prices soaring.

  5. Crm Market Analysis North America, Europe, APAC, South America, Middle East...

    • technavio.com
    Updated Aug 15, 2024
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    Technavio (2024). Crm Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Canada, UK, Germany, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/crm-market-industry-analysis
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    Dataset updated
    Aug 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, Global
    Description

    Snapshot img

    CRM Market Size 2024-2028

    The CRM market size is forecast to increase by USD 60 billion at a CAGR of 10.23% between 2023 and 2028.

    The market is witnessing significant growth due to the increasing adoption of CRM solutions by Small and Medium-sized Enterprises (SMEs) to manage customer interactions more efficiently. Another trend driving the market is the integration of Artificial Intelligence (AI) into CRM systems, enabling businesses to gain valuable insights from customer data and improve customer engagement.
    However, data security concerns remain a challenge for CRM companies, as businesses prioritize safeguarding their customer information. These factors, among others, are shaping the growth trajectory of the market.
    

    What will be the Size of the CRM Market During the Forecast Period?

    Request Free Sample

    The market is experiencing significant growth as businesses prioritize digital technology to enhance customer satisfaction and streamline sales and customer service processes. CRM platforms are increasingly integrating artificial intelligence (AI) and automation to provide hyper-personalized experiences for customers across digital channels. Cloud technology enables easy access to CRM tools from anywhere, making them essential for e-commerce sales and omnichannel marketing strategies. The market is segmented into sales, customer service, and business intelligence, with the analytics segment experiencing notable growth due to the increasing importance of big data analytics in driving business decisions. AI integration and embedded analytics are key trends, enabling real-time insights and predictions to optimize CRM strategies.
    IT infrastructure investments in CRM tools support digital transformation, with an emphasis on improving customer experiences and driving revenue growth.
    The CRM market is rapidly evolving with the rise of AI-powered CRM and cloud-based CRM solutions, enabling businesses to leverage CRM automation tools for streamlined operations. Customer data analytics plays a crucial role in providing personalized customer engagement, while omnichannel CRM and mobile CRM apps ensure seamless communication across various platforms. CRM for small businesses is becoming increasingly accessible, offering cost-effective solutions like salesforce automation and self-service CRM platforms. AI chatbots in CRM are enhancing customer interactions, and CRM integration with ERP systems ensures smooth data flow across departments. With the adoption of predictive analytics in CRM and voice-enabled CRM solutions, businesses can improve decision-making, while CRM cybersecurity measures protect sensitive customer information.
    

    How is this CRM Industry segmented and which is the largest segment?

    The CRM industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Application
    
      Service and support CRM
      Sales CRM
      Marketing CRM software
      E-Commerce software CRM
    
    
    Deployment
    
      SaaS
      On-premise
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      APAC
    
        Japan
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Application Insights

    The service and support CRM segment is estimated to witness significant growth during the forecast period.
    

    CRM platforms play a pivotal role in enhancing customer satisfaction by facilitating efficient service and support. These systems collect and analyze customer data to address issues effectively and improve overall service standards. Hyper-personalization through AI and automation is a key feature, enabling tailored solutions and quick resolution. Cloud technology and digital channels enable real-time collaboration among organizational departments, resulting in seamless workflows. CRM analytics provide valuable insights into customer behavior and preferences, informing CRM strategies and business intelligence. IT & telecom companies and large corporations have embraced CRM tools to streamline customer service segments, integrating AI-driven customer experiences, bot development, and messaging APIs.

    E-commerce sales and omnichannel marketing benefit from these solutions, ensuring consistent brand image and effective follow-up. CRM systems enable call center technology and facilitate big data analytics, driving continuous improvement and growth.

    Get a glance at the Crm Industry report of share of various segments Request Free Sample

    The Service and support CRM segment was valued at USD 18.30 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 53% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends an

  6. Forecast revenue big data market worldwide 2011-2027

    • statista.com
    Updated Feb 13, 2024
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    Statista (2024). Forecast revenue big data market worldwide 2011-2027 [Dataset]. https://www.statista.com/statistics/254266/global-big-data-market-forecast/
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    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

    What is Big data?

    Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

    Big data analytics

    Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

  7. C

    Global Follow-on Formula Market Economic and Social Impact 2025-2032

    • statsndata.org
    excel, pdf
    Updated Feb 2025
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    Stats N Data (2025). Global Follow-on Formula Market Economic and Social Impact 2025-2032 [Dataset]. https://www.statsndata.org/report/follow-on-formula-market-366918
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Feb 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Follow-on Formula market has emerged as a pivotal segment within the infant nutrition industry, catering to the needs of growing children beyond the infant stage. Typically designed for babies aged six months and older, this formula provides essential nutrients to support their continued growth and development.

  8. Live tables on social housing sales

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 21, 2025
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    Ministry of Housing, Communities and Local Government (2025). Live tables on social housing sales [Dataset]. https://www.gov.uk/government/statistical-data-sets/live-tables-on-social-housing-sales
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    The tables below provide statistics on the sales of social housing stock – whether owned by local authorities or private registered providers. The most common of these sales are by the Right to Buy (and preserved Right to Buy) scheme and there are separate tables for sales under that scheme.

    The tables for Right to Buy, tables 691, 692 and 693, are now presented in annual versions to reflect changes to the data collection following consultation. The previous quarterly tables can be found in the discontinued tables section below.

    From April 2005 to March 2021 there are quarterly official statistics on Right to Buy sales – these are available in the quarterly version of tables 691, 692 and 693. From April 2021 onwards, following a consultation with local authorities, the quarterly data on Right to Buy sales are management information and not subject to the same quality assurance as official statistics and should not be treated the same as official statistics. These data are presented in tables in the ‘Right to Buy sales: management information’ below.

    Social housing sales

    https://assets.publishing.service.gov.uk/media/67a250e6b74b3d9dfe36ca4f/LT_678.ods">Table 678: annual social housing sales by scheme for England

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">14.4 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    Right to Buy sales

    https://assets.publishing.service.gov.uk/media/67a25126567402152f553c31/LT_691.ods">Table 691 annual: Right to Buy sales, by local authority

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">152 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisa
    
  9. The global point of care data management systems market size is USD 815.6...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jan 15, 2025
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    Cognitive Market Research (2025). The global point of care data management systems market size is USD 815.6 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/point-of-care-data-management-systems-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global point of care data management systems market size will be USD 815.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 11.50% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 326.24 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.7% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 244.68 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 187.59 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.5% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 40.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.9% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 16.31 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2% from 2024 to 2031.
    The hospitals/critical care units held the highest Point of Care Data Management Systems market revenue share in 2024.
    

    Market Dynamics of Point of Care Data Management Systems Market

    Key Drivers for Point of Care Data Management Systems Market

    Increasing Popularity of Point of Care Testing to Increase the Demand Globally

    The increasing need for quick and decentralized diagnostic tests has led to a surge in POCT use. The market prognosis for point-of-care data management software is therefore being driven by this. The need for this software is growing because it facilitates the integration of data from POCT devices into laboratory information systems (LIS) and electronic health records (EHRs). The necessity for real-time data access and the growing emphasis on patient-centered treatment make the use of this software even more essential. It is impossible to overstate the importance of having rapid access to reliable patient information, particularly in critical care situations.

    Rising Focus on Remote Patient Monitoring to Propel Market Growth

    Numerous point-of-care data management system market advancements, including data management solutions, have been brought about by the growth of telehealth services and the growing need for efficient records administration systems to support remote patient monitoring and virtual consultations. No matter where patients are, the software enables remote access to patient data, real-time follow-up therapy monitoring, and vital sign monitoring. This reduces the need for in-person visits and hospital stays, which improves the effectiveness of healthcare delivery. There would be a greater demand for complex point-of-care data management software as telemedicine is expected to increase. The price of point-of-care data management software will therefore be determined by this.

    Restraint Factor for the Point of Care Data Management Systems Market

    High Cost and Operational Challenge to Limit the Sales

    Clinical workers rather than laboratory-trained individuals undertake point-of-care testing, which might result in errors due to a lack of understanding regarding the significance of quality control and quality assurance processes. Furthermore, POCT typically costs more than testing done in the central laboratory and requires a lot of laboratory assistance to guarantee high-quality testing while fulfilling accreditation standards. The clinical areas frequently overlook the numerous hidden expenses associated with point-of-care testing, such as the cost of proficiency testing, quality control supplies, and reagents for equipment validation. The costs associated with hiring medical laboratory technologists who are needed to support the POCT quality assurance system as well as information system and IT personnel who are critical to the POCT connectivity platforms must also be taken into account. Additionally, there is a cost involved in developing the interface that links POCT devices or software to the electronic medical record (EMR) and laboratory information system. It is difficult to gain the connectivity required to enter POCT results into the EHR quickly enough to alter patient care.

    Impact of Covid-19 on the Point of Care Data Management Systems Market

    The point of care data management s...

  10. v

    Global Sales Engagement Software Market By Deployment Type, By Enterprise...

    • verifiedmarketresearch.com
    Updated May 17, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Sales Engagement Software Market By Deployment Type, By Enterprise Size, By Functionality, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/sales-engagement-software-market/
    Explore at:
    Dataset updated
    May 17, 2024
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Sales Engagement Software Market size was valued at USD 8.95 Billion in 2024 and is projected to reach USD 24.99 Billion by 2031, growing at a CAGR of 13.70% during the forecasted period 2024 to 2031.

    Global Sales Engagement Software Market Drivers

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

    Growing Use of Digital Sales Channels: Businesses are using digital sales channels more frequently to interact with consumers as a result of the requirement for efficient communication and optimised sales procedures.
    The usage of sales interaction platforms is rising due to the movement in sales strategy towards digital transformation.

    Growing Need for Sales Process Automation: Automating repetitive processes increases productivity and efficiency. These technologies are included in sales engagement software.
    One major motivator is the necessity of automating data entry, follow-ups, and sales workflows in order to save time and minimise human mistake.

    Growth of Hybrid and Remote Work Models: Tools that support remote sales operations and engagement are required as a result of the COVID-19 pandemic’s increase in remote and hybrid work environments.
    Digital signatures, remote collaboration, and virtual meetings are just a few of the capabilities that sales engagement software offers and are crucial for distant sales teams.

    Stressing Data-Driven Sales Approaches: Companies are putting more emphasis on data-driven decision-making and optimising sales strategies by employing analytics and insights from sales engagement platforms.
    These platforms’ combined advanced analytics, AI, and machine learning capabilities aid in projecting sales, analysing customer behaviour, and personalising interaction.

    CRM and Other Sales Tool Integration: The value proposition of sales interaction software is enhanced by its ability to seamlessly integrate with other sales tools and Customer Relationship Management (CRM) systems.
    The efficiency and efficacy of sales are increased overall because to these linkages, which provide a single view of customer interactions and sales activity.

    Improvement of the Client Experience: Businesses must prioritise improving the client experience, and sales engagement software facilitates prompt and personalised communication.
    Sales teams can provide a consistent and interesting customer experience with the software, which increases customer happiness and loyalty.

    AI and machine learning’s emergence: The way that sales operations are carried out is being revolutionised by the integration of AI and machine learning technology in sales interaction software.
    Sales teams can close deals more quickly and communicate with customers more effectively with the use of AI-driven insights, predictive analytics, and intelligent recommendations.

    Increasing Competition and the Need for Distinction: Businesses are looking for cutting-edge solutions to set themselves apart and improve their sales methods in fiercely competitive marketplaces.
    Through the facilitation of more productive and efficient sales processes, sales engagement software gives businesses a competitive edge.

    Increasing the amount spent on sales technology: Businesses are spending more money on sales technologies in order to maintain their competitive edge and boost sales. It is believed that making a calculated investment in sales interaction platforms will increase sales and help the company meet its goals.

    Data security and compliance with regulations: Robust sales interaction platforms are becoming more and more popular as a result of the necessity to guarantee data protection and comply with various legal standards.
    For companies in regulated industries, these platforms’ functions for managing compliance and protecting sensitive client data are essential.

  11. P

    Global Biosimilars & Follow-on-Biologics Market Growth Opportunities...

    • statsndata.org
    excel, pdf
    Updated Feb 2025
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    Stats N Data (2025). Global Biosimilars & Follow-on-Biologics Market Growth Opportunities 2025-2032 [Dataset]. https://www.statsndata.org/report/biosimilars-follow-on-biologics-market-24076
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Feb 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Biosimilars & Follow-on-Biologics market has emerged as a pivotal segment within the pharmaceutical landscape, aiming to provide affordable alternatives to expensive biologic therapies. Biosimilars are biologic medical products that are highly similar to already approved reference biologics, differing only in pe

  12. United States - monthly vehicle sales by type through September 2024

    • statista.com
    Updated Nov 19, 2024
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    Statista (2024). United States - monthly vehicle sales by type through September 2024 [Dataset]. https://www.statista.com/statistics/204342/comparison-of-us-vehicle-production/
    Explore at:
    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Sep 2024
    Area covered
    United States
    Description

    At around 948,000 unit sales, light trucks remained the largest U.S. auto market segment in September 2024, down from around 1.2 unit sales in October 2024 and decreasing by approximately 11.2 percent year-on-year. Global chip shortage affects supply The second quarter of 2020 saw a significant drop in automotive sales volume compared to the year before. Most of the disruption was seen in May, before restrictions to curtail the coronavirus pandemic were lifted. Sales showed signs of recovery in the following months, before dropping again in 2021. The industry's inventory-to-sales ratio nosedived in May 2020, and has not fully recovered since. Supply issues were not felt as strongly across the automotive sector, while car demand was low due to national lockdowns brought on by the pandemic. However, as consumers' purchasing intentions picked up, vehicle stocks could not meet the new demand due to chip shortages, which led to production halts and cuts. U.S. vehicle sales gain momentum thanks to light truck sales As the year 2020 came to an end, motor vehicle sales in the United States finished on a high note. Following the Covid-19 disruption, the U.S. auto sector began to recover in the third quarter. However, the semiconductor shortage and global inflation further impacted sales in 2021 and 2022. In contrast, 2023 was an encouraging year. U.S. motor vehicle sales grew to over 15.5 million that year, which was the highest it had been since the onset of the pandemic. This jump in sales was partly due to light truck retail sales, which exceeded their pre-pandemic level in 2023.

  13. s

    Truth Social Market Statistics

    • searchlogistics.com
    Updated Apr 24, 2023
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    (2023). Truth Social Market Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/truth-social-statistics/
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    Dataset updated
    Apr 24, 2023
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    You might be surprised how much Truth Social is worth based on its small number of users.

  14. w

    Firm Surveys for Comparing Personal Initiative Training to Traditional...

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Jan 30, 2025
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    David McKenzie (2025). Firm Surveys for Comparing Personal Initiative Training to Traditional Business Training 2013-2021 - Togo [Dataset]. https://microdata.worldbank.org/index.php/catalog/2860
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    David McKenzie
    Time period covered
    2013 - 2021
    Area covered
    Togo
    Description

    Abstract

    Standard business training programs aim to boost the incomes of the millions of self-employed business owners in developing countries by teaching basic financial and marketing practices, yet the impacts of such programs are mixed. We test whether a psychology-based personal initiative training approach which teaches and promotes a proactive mindset that focuses on entrepreneurial behaviors can have more success. A randomized controlled trial in Togo assigned microenterprise owners to a control group (N=500); a leading business training program (N=500); or to personal initiative training (N=500). Four follow-up surveys track firm outcomes over two years and show personal initiative training increases firm profits by 31 percent, compared to a statistically insignificant 11 percent for traditional training. The training is cost-effective, paying for itself within one year.

    Geographic coverage

    The study took place in the capital city Lomé, of Togo

    Analysis unit

    Firm

    Universe

    Informal sector firms which applied to a government business training program. See sampling for more information.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The training forms one component of the Private Sector Development Support Project, a $13 million lending operation from the International Development Association of the World Bank to the Government of Togo. The project launched a four-month communication campaign in Lomé to generate applicants for the program. This involved radio and television advertisements; banners; distributing more than 9,000 flyers; 138 information events partnering with three microfinance institutions, an association of female entrepreneurs, a government agency that works with the informal sector, an artisan's association and the Chambre Régionale des Métiers-Lomé (Regional Chamber of Artisans); and door-to-door communication to firms in 89 different neighborhoods.

    At the end of this campaign, the project had received 3,396 applications, of which 3,220 met the eligibility criteria which entrepreneurs had been informed about during the communication campaign. As mentioned in the main text, to be eligible firms had to have fewer than 50 employees, not be formally registered at the Chambre de Commerce et de l'Industrie du Togo (Chamber of Commerce) or the Centre de Formalités des Entreprises (Business Formality Center), be in any sector apart from agricultural production, husbandry or fishing, and be in existence for 12 months or more.

    The eligible applicants were then grouped into 47 distinct strata based on sector of activity and sales range, with equal numbers of companies then randomly chosen from each strata. This weighted the sample in favor of firms with higher sales and those in smaller sectors, while still ensuring representation from across the informal sector. In total 1,794 eligible companies were selected through this process to undergo a baseline survey, with the goal of surveying 1,500. As such, firms that were no longer interested or could not be found would be dropped.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Questionnaires in French and English were used to collect the data.

    Response rate

    Control group response rate was 94% in follow-up 1, 90% in follow-up 2, 91% in follow-up 3, and 88% in follow-up 4. Follow-up response rates for the two treatment groups are similar.

    Long-term follow-up surveys to measure impacts 7 to 7.5 years post-training were conducted by the survey organization AdKontact Togo in 2021. A phone survey in March-April 2021 interviewed 1035 entrepreneurs (69%). An in-person survey in September-October 2021 interviewed 1131 entrepreneurs (75%). Combining the two surveys gives interviews for 1250 owners (83.3%), and in addition were able to ascertain the operating status (including closures) of a further 91 firms, so that the operating status of 1341 firms (89.4%) is known.

  15. i

    GET Ahead Business Training Program Impact Evaluation 2013 - 2017 - Kenya

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
    + more versions
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    David McKenzie (2019). GET Ahead Business Training Program Impact Evaluation 2013 - 2017 - Kenya [Dataset]. https://catalog.ihsn.org/index.php/catalog/4528
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    David McKenzie
    Time period covered
    2013 - 2017
    Area covered
    Kenya
    Description

    Abstract

    We conduct a randomized experiment in 157 rural markets in Kenya to test how business training (the International Labour Organization (ILO)'s Gender and Enterprise Together program) affects the profitability, growth and survival of female-owned businesses, and to evaluate whether any gains in profitability come at the expense of other business owners. We work with a large sample of 3,537 firms, and use a two-stage randomization, first randomizing at the market-level, and then randomizing the offer of training to individuals within treated markets. A year and a half after the training has taken place, half of the sample assigned to training was then offered a subsequent mentoring intervention intended to test whether additional group-based and in-person support strengthens the impacts of training. Four rounds of follow-up surveys with low attrition are used to measure impacts at one and three years after training. This is complimented with data from a market census taken four years after training, that also included male-operated firms.

    Geographic coverage

    Kakamega and Kisii counties in the Western region, and Embu and Kitui counties in the Eastern region.

    Analysis unit

    • Individual female microenterprise
    • Firm

    Universe

    Women operating in markets in four counties in Kenya: Kakamega and Kisii in the Western region, and Embu and Kitui in the Eastern region

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The selection of the study areas was the result of a participatory process that involved the Technical Committee of the ILO Women Entrepreneurship and Economic Empowerment (WEDEE) project as well as other relevant stakeholders. A Stakeholder retreat in October 2012 was used to pre-select 10 counties from the 47 counties in Kenya as possible locations for the study. A more detailed review of these 10 counties and consultations with the stakeholders were then used to select 4 counties in which to provide the ILO Gender and Entrepreneurship Together (GET Ahead) training: Kakamega and Kisii in the Western region, and Embu and Kitui in the Eastern region.

    In each of Kakamega, Kisii, Embu and Kitui counties field staff from Innovations for Poverty Action, Kenya, mapped out all market centers deemed as medium or large outside of the main cities. Field staff then conducted a market census, applying a 31-question listing questionnaire to each female-owned enterprise operating on a non-market day in these markets. This questionnaire took a median time of 15 minutes to complete, and collected data on business type, education, age, profits and sales, membership in women's associations or merry-go-rounds, and contact follow-up information. The listing operation took place one county at a time between June 3, 2013 and November 1, 2013.

    After the census, three markets in Kakamega county were dropped because the number of women in these markets was too few. Researchers then applied an eligibility filter to determine which women to include in the baseline survey. This filter required the women to have reported profits, and not to have reported profits that exceeded sales; to have a phone number that could be used to invite them for training; to be 55 years old or younger; to not be running a business that only dealt with phone cards or m-pesa, or that was a school; that the person responding not be an employee; that the business not have more than 3 employees; that the business have profits in the past week between 0 and 4000 KSH; that sales in the past week be less than or equal to 50,000 KSH; and that the individual had at least one year of schooling. These criteria were chosen to reduce the amount of heterogeneity in the sample (thereby increasing our ability to detect treatment effects), and to increase the odds of being able to contact and find individuals again.

    Applying this eligibility filter reduced the 6,296 individuals to 4,037 individuals (64%). Out of a target of 4,037 individuals, the team was able to interview 3,538 (87.6%) in time to consider them for inviting to training.

    Randomization process

    The individuals who had satisfied the screening criteria and completed the baseline survey were then assigned to treatment and control in a two-stage process:

    First, markets were assigned to treatment (have some individuals in them invited to training) or control (no one in the market would be invited to training) status. Randomization was done within 35 strata defined by geographical region (within county) and the number of women surveyed in the market.

    Then within each market, individuals were assigned to treatment (be invited to training) or control (not be invited to training) within treated markets by forming four strata, based on quartiles of weekly profits from the census (<=450, 451-800, 801-1500, 1501-4000), and then assigning half the individuals within each strata to training. When the number of individuals in the strata was odd, the odd unit was also randomly assigned to training. This resulted in 1,173 of the 2,161 individuals in treated markets being assigned to treatment, and 988 to control groups.

    Additoinal details on sampling are abailable in Section 2 of the Working Paper provided under Related Materials.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The following survey instruments were used for data collection: - Census of Women Entrepreneurs - Baseline Questionnaire - Long Follow-up Surveys (Rounds 2 and 4) - Short Follow-up Surveys (Rounds 3 and 5) - Market Census Questionnaires (Rounds 2 and 4) - Final Market Questionnaire - Customer Survey Questionnaire

    The Market census questionnaire took a median time of 15 minutes to complete. It collected data on business type, education, age, profits and sales, membership in women's associations or merry-go-rounds, and contact follow-up information. The baseline questionnaire took a median time of 90 minutes to complete. The 30-page questionnaire asked detailed questions about the business owner, her family and business activities.

    Response rate

    Overall we were able to interview 95.0 percent of the sample in at least one of round 2 or 3, and 92.3 percent in at least one of round 4 or 5. In addition, in cases where we were unable to interview someone due to refusal, travel, death, or other reasons, we collected information from other household members or close contacts on whether the individual in our sample was currently operating a business. This enables us to have data on survival status for 99.3 percent of the sample at one year, and 97.2 percent at three years. There is no significant difference in data availability with treatment status at the three year horizon, although those assigned to treatment are 1 to 2 percentage points more likely to have data available at the one year horizon. See Appendix Table 2 of the working paper provided under Related Materials details response rates.

  16. Global Sales Force Automation (SFA) Market Size By Deployment (Cloud Based,...

    • verifiedmarketresearch.com
    Updated Jul 29, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Sales Force Automation (SFA) Market Size By Deployment (Cloud Based, On Premise), By Application (Lead Management, Sales Forecasting), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/sales-force-automation-sfa-market/
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    Dataset updated
    Jul 29, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Sales Force Automation (SFA) Market size was valued at USD 11.23 Billion in 2024 and is projected to reach USD 24.38 Billion by 2031, growing at a CAGR of 8.18% from 2024 to 2031.

    Sales Force Automation (SFA) Market

    Need for Enhanced Sales Productivity: Organizations are increasingly seeking ways to boost sales team productivity and efficiency. SFA tools automate routine tasks such as data entry, scheduling, and follow-ups, allowing sales professionals to focus more on selling and closing deals.

    Data-Driven Decision Making: SFA software provides valuable insights through analytics and reporting, helping sales managers make informed decisions. Real-time data on sales activities, pipeline status, and performance metrics enables better forecasting and strategic planning.

    Improved Customer Relationship Management: SFA tools help maintain detailed records of customer interactions, preferences, and history. This comprehensive view of customer data enhances relationship management and allows for more personalized and effective sales approaches.

  17. Heavy Duty Truck Market - Net U.S. Heavy Duty Truck Imports Growing...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Mar 1, 2025
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    IndexBox Inc. (2025). Heavy Duty Truck Market - Net U.S. Heavy Duty Truck Imports Growing Significantly, Following Rocketing Imports from Mexico - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/Net-US-Heavy-Duty-Truck-Imports-Growing-Significantly-Following-Rocketing-Imports-from-Mexico/
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    xlsx, pdf, xls, docx, docAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Mar 1, 2025
    Area covered
    United States
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    The U.S. dominates in global imports on the heavy duty truck market, accounting for a 17% share (based on USD). It was followed by Canada (7%), Germany (6%) and France (6%). In 2015, U.S. heavy duty truck imports totaled 16,262 million USD, which was 950 million USD (+6%) more than the year before.

  18. The Legend of Zelda: Tears of the Kingdom units sold worldwide 2024

    • statista.com
    Updated Nov 6, 2024
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    The Legend of Zelda: Tears of the Kingdom units sold worldwide 2024 [Dataset]. https://www.statista.com/statistics/1385879/zelda-tears-of-the-kingdom-units-sold/
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2023 - Sep 2024
    Area covered
    Worldwide
    Description

    Released on May 12, 2023, The Legend of Zelda: Tears of the Kingdom is the highly anticipated follow-up to the 2017 critical hit The Legend of Zelda: Breath of the Wild. An exclusive release for Nintendo's Switch console, the action-adventure game sold ten million units worldwide in its first three days, 2.24 million of which were sold in the game's domestic market Japan. Total lifetime sales of Zelda: TotK stood at 21.04 million as of September 2024. The Legend of Zelda First released in 1986, The Legend of Zelda is one of the most popular and enduring video games series of all time, with over 130 million unit sales in total . The series centers on the various incarnations of the protagonist Link and Princess Zelda of Hyrule as they fight the main antagonist, Ganon, who attempts to conquer Hyrule and/or the world. Every generation of Nintendo consoles has featured the release of a Zelda game, and many gaming industry veterans have cited the games as highly influential to them. Up until now, ToTK’s predecessor, The Legend of Zelda: Breath of the Wild, still holds the top spot as the best-selling Zelda title, with over 30 million unit sales. Breath of the Wild was a launch title for the then newly released Nintendo Switch console. Will Tears of the Kingdom be able to claim the crown of the new top-selling Zelda games? Highly anticipated video game releases in 2023 Overall, 2023 had been a good year for major video game releases. For comparison, multi-platform billion-dollar seller Hogwarts Legacy (released in February 2023) took two weeks to sell about 12 million copies and Tears of the Kingdom is likely to eclipse Hogwarts' sales in due time.In June 2023, Diablo 4, the fourth main installment in the Diablo series, was released by Activision Blizzard over a decade after the previous mainline title, Diablo 3. A financial success, Diablo IV generated about 666 U.S. dollars in sales in five days . Another long-anticipated follow-up release of a major video game series was Baldur’s Gate 3 (developed and published by Larian Studios) – fans of the series had to wait over 20 years for a new title in the RPG gaming series, and BG3, developed by a smaller studio than the original releases, was a well-received hit on release. Following a spring and summer of blockbuster games, Bethesda Game Studios released its PC and Xbox platform exclusive open world action adventure Starfield in September 2023. The game is Bethesda’s first new IP in a quarter of a century and generated more than 1 million players on launch day.

  19. Retail e-commerce sales growth worldwide 2017-2027

    • statista.com
    • flwrdeptvarieties.store
    Updated May 7, 2024
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    Statista (2024). Retail e-commerce sales growth worldwide 2017-2027 [Dataset]. https://www.statista.com/statistics/288487/forecast-of-global-b2c-e-commerce-growth/
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    Dataset updated
    May 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017 - 2027
    Area covered
    Worldwide
    Description

    In 2022, global e-commerce sales grew by 6.5 percent compared to the previous year. In that period, e-commerce accounted for approximately 19 percent of all retail sales worldwide.

    Asian countries lead the way

    According to a forecast, China and South Korea ranked first and third respectively on the list of countries with the greatest share of retail sales projected to take place online in 2022. Following the same trend, estimates also revealed that the four fastest-growing retail e-commerce countries in the world are all in Asia.

    Amazon on top

    When looking at the leading e-commerce companies worldwide, as opposed to the leading e-commerce countries, Amazon is the clear market leader with a market cap of over one trillion U.S. dollars as of June 2022. Not only that, but the Seattle-based multinational company is also by far the most visited online marketplace in the world, with approximately 5.7 billion monthly visits.

  20. Milk formula sales value forecast in Russia 2016-2021

    • statista.com
    Updated Feb 13, 2024
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    Statista (2024). Milk formula sales value forecast in Russia 2016-2021 [Dataset]. https://www.statista.com/statistics/709226/milk-formula-value-forecast-russia/
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    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    Russia
    Description

    This statistic shows the sales value of milk formula in Russia from 2016 forecast to 2021. Currently, the total market has a value of 587.7 million euro in 2016, which is projected to increase to 690.1 million euro by 2021. Follow-on milk formula makes up the largest portion of milk formula sales, followed by standard milk formula. Growing-up milk formula is the least popular, while special milk only has a value of 93.3 million euro in 2016.

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Statista (2024). Frequency with which sales professionals used WhatsApp for follow-ups in Brazil 2024 [Dataset]. https://www.statista.com/statistics/1399050/frequency-sales-whatsapp-follow-ups-brazil/
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Frequency with which sales professionals used WhatsApp for follow-ups in Brazil 2024

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Dataset updated
Dec 10, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Brazil
Description

During a survey among sales professionals in Brazil published in 2024, around 84 percent reported using WhatsApp daily for negotiations or follow-ups. Around 13 percent used the mobile messaging app in that context at least once a week. According to the same study, WhatsApp was Brazil's top channel for sales leads that year.

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