Automated Candidate Sourcing

Automated Candidate Sourcing: Reality or just a Fad?

Published on January 8th, 2023


Securing top-tier candidates places you in a position of strength. Developing a more strategic approach becomes imperative when vying for scarce labor and requires clever tactics for finding and cultivating potential talent.

Even with advanced applicant tracking tools, the constant influx of menial tasks may impede you from delving into more rewarding human resources endeavors. What if you could leverage automation to source and engage prospects with greater effectiveness?

What is Automated Candidate Sourcing?

Talent sourcing, also known as candidate sourcing, emerges as a pivotal talent acquisition strategy. It revolves around generating a continuous flow of potential candidates to promptly fill vacant job roles within the organization. This comprehensive approach involves meticulous research to identify culturally fitting and highly skilled candidates capable of fulfilling specific job roles.

But what if the entire candidate sourcing process could be automated?

Integrating artificial intelligence (AI) into sourcing presents a forward-looking practice. It involves implementing technologies like Machine Learning (ML) or complex predictive algorithms to enhance the hiring process and expedite the filling of open roles. With a diverse array of AI tools available, recruiters can effectively optimize their time and resources.

Benefits of AI Candidate Sourcing

- Automated Talent Search

You have to babysit and choose applicants based on their qualifications and experience when it comes to candidate sourcing. Then, whether on LinkedIn or other social media networks, you must utilize sophisticated search filters to target a smaller demographic and personally gather their data.

But, automated sourcing makes it easy to find qualified candidates with specific skills and experience because you can search for them at scale. The data from candidate profiles are integrated into your CRM so that when hiring needs to arise—you’ve already got a pool of talent ready to go!

- Streamlining the Entire Process

Automation enables you to export every candidate you've found to your integrated ATS with verified contact information and full knowledge of their professional histories. Additionally, it allows you to narrow down the top prospects by matching the chosen candidates' talents to the job requirements.

By doing away with the need to manually enter candidate data into your applicant tracking system (ATS), automation helps you save a ton of time. By automating the processes of data collection, verification, and validation, you may also reduce the possibility of human error.

- Increased Candidate Engagement

You will be able to source the greatest talent for your positions if you keep the candidate engaged throughout the hiring process through various touchpoints. In fact, between 80 and 90 percent of candidates claim that their impressions of a job or organization might shift based on their candidate experience. Automation enables you to send auto-personalized emails and messages across a variety of platforms.

To nurture passive prospects and maintain their interest in the position, use automated SMS campaigns. With little effort on your side, automated communications can engage inactive applicants and lead them to conversion.

- Measure your Efforts

If you are unsure how your efforts are measuring up, then use analytics to find out what works and doesn't. It will help you make necessary changes to your process and measure the impact of those changes on your results.

Best Candidate Sourcing Automation Tools

1. HireQuotient

HireQuotient is a talent-sourcing platform that revs up your hiring efficiency with AI-based sourcing. It has access to more than 600 million talent profiles globally and promises to find top talent in days, not weeks.

It works in a 4-step manner.

- Share the job description of your open role.

- Proactively communicate via targeted mass outreach with the click of a button.

- Traverse the recruitment funnel with pre-screening in less than 5 minutes.

- Get a brimming pool of candidates for an interview.

2. PhantomBuster

PhantomBuster streamlines your sales and marketing operations so you can concentrate on cultivating relationships with applicants rather than working all day on the same things. It is an AI-powered sales assistant that identifies qualified applicants for your open positions, contacts them directly, and arranges interviews.

Additionally, it enables you to create sophisticated workflows without having to struggle with writing difficult programs to develop candidate involvement.

3. SeekOut

Using the talent intelligence platform SeekOut, modern recruiters can locate qualified prospects quickly and communicate with them.

Recruiters may access completely verified talent pools of millions of worldwide profiles with the help of AI-powered search technology, locate qualified prospects with unparalleled speed and precision, and engage them right away. Additionally, it improves your search performance using cutting-edge AI/ML approaches and facilitates the effective usage of bespoke boolean searches and custom filters.

You can actively engage with eligible applicants who have confirmed contact information thanks to the availability of automated drip campaigns, which will increase candidate engagement. It can also thoroughly examine talent pools and help in decision-making.

4. Nurturebox

To find the greatest talent for your company, Nurturebox helps you automate and scale your applicant outreach activities.

In order to automate candidate interaction, customize experiences, and provide you with the insights required to maximize outcomes, NurtureBox effortlessly integrates with your existing tools. Additionally, it engages applicants on the channels they are most likely to utilize by contacting them via a multi-touch, multi-channel sequence of emails, calls, texts, and LinkedIn or WhatsApp updates.

You may increase candidate engagement and conversion rates by using this outreach. You can effortlessly customize each candidate's experience and do real-time analysis using NurtureBox. Through the platform's user-friendly dashboard, you can also keep track of all applicant interactions and access your real-time statistics.

You may view each candidate's position in the hiring process with just one click. With an intuitive interface that offers configurable email templates and automatic message options, it also assists you in managing the recruitment process.

5. Gem

Gem is a platform for talent engagement that helps recruiters generate varied pipelines of possible candidates while increasing the effectiveness and the quality of their hiring decisions.

Additionally, by combining information and context from email inboxes, applicant tracking systems, and social networks, it offers a single source of truth for all talent interactions. Talent acquisition teams can be more proactive in their planning by using data to understand the entire hiring process and to prepare for the future.

Gem's platform, used by both startups and established tech giants like Pinterest, Lyft, and Twilio, promises to boost recruiting teams' productivity by helping them source candidates more quickly, raise response rates, and manage relationships with passive talent. Through Gem, customers have employed more than 5,000 passive candidates.

6. SmartRecruiters

The Talent Acquisition Suite from SmartRecruiters is a cutting-edge recruitment tool that aids businesses in sourcing, attracting, and hiring excellent applicants.

By offering a user-friendly application, SmartRecruiters improves on more traditional applicant monitoring systems used by hiring managers. The program also includes tools for managing candidates, such as outreach and sourcing, applicant tracking, resourcing, reporting on positions filled, and time to fill.

7. Fetcher

This sourcing solution is an automation engine that enables you to automate the top-funnel tasks that would typically take many hours to do each time your candidate pool needs to be refreshed.

It is accomplished by creating a data pipeline from live talent profiles, automating and using templates to create emails, supporting candidates through tier-based engagement techniques, and re-messaging. The platform is known for three things, source, email, and track to get results.

8. Arya

Arya is an AI recruiting tool that focuses on talent sourcing. Using your job description as a guide, it shortlists qualified candidates. These shortlists are produced using public databases and your ATS/CRM.

The platform comes with a fully integrated candidate engagement suite that enables you to reach out to these top talents, ask them screening questions, and schedule the appropriate candidates with your recruiters fast and easily. It also provides a full-service model, using its recruiters to deliver up to 100 qualified and checked prospects for each job you post.

9. Entelo

Entelo's recruitment automation tool is used by more than 600 clients, including Paypal, Sony, and Wayfair, to find and engage prospects while they are on the go. Recruiters may increase their open and response rates for candidate outreach by using Entelo.

The platform's diversity features, which include a one-click diversity filter, anonymization of candidate data to remove unconscious bias, and inclusive language changes in the messaging creation tool, are a particular strength.

10. Hired

A platform called Hired aims to connect companies and job seekers together. Employers build a profile for their vacancies and search for applicants who respond to 95% of inquiries. It contains a sizable database of highly qualified technical candidates. They assist in 17 places around the world in 50+ roles. They combine candidate information with job descriptions on a user-friendly website.

The Role of Data Analytics in Automated Candidate Sourcing

In the landscape of Automated Candidate Sourcing, data analytics emerges as a cornerstone, transforming how organizations approach talent acquisition. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into candidate sourcing isn't just about automating the search for potential candidates; it's about smartly refining the process to ensure maximum efficiency and effectiveness.

The power of data analytics in this automated ecosystem cannot be overstated. By analyzing patterns in candidate engagement and conversion rates, HR professionals can unlock insights that allow for the fine-tuning of outreach strategies. This data-driven approach ensures that communications are not just broad-cast but are highly personalized and targeted, significantly increasing the likelihood of engaging top-tier candidates.

Furthermore, the utilization of advanced analytics extends beyond mere engagement metrics. It enables the identification of the most effective sourcing channels, understanding the traits of successful hires, and predicting future hiring needs based on company growth and turnover rates. This intelligence is invaluable in crafting a proactive and strategic automated candidate sourcing strategy.

Several cutting-edge tools are leading the charge in integrating data analytics into the automated candidate sourcing process. These platforms not only automate the search and engagement with potential candidates but also provide rich analytics dashboards that offer deep insights into the entire recruitment funnel. From initial contact to hire, these tools track and analyze candidate interactions, providing HR teams with actionable data to continually optimize their sourcing efforts.

Moreover, the best of these tools offer seamless integration capabilities with existing HR analytics platforms, ensuring that Automated Candidate Sourcing doesn't operate in a silo but is a cohesive part of the broader HR technology ecosystem. This integration is crucial for creating a unified view of talent acquisition performance, enabling HR professionals to make informed decisions based on comprehensive data.

As Automated Candidate Sourcing continues to evolve, the role of data analytics in enhancing these processes becomes increasingly central. By leveraging the right tools and approaches, organizations can not only automate the search for talent but can do so with a level of precision and personalization that was previously unattainable. This is not just the future of recruitment; it's the present, and it's revolutionizing how we connect with potential candidates in the digital age.

AI and Diversity Recruitment in Automated Candidate Sourcing

In the realm of Automated Candidate Sourcing, Artificial Intelligence (AI) holds the transformative power to not only streamline recruitment processes but also to significantly enhance diversity in recruitment efforts. The strategic implementation of AI sourcing tools is pivotal in advancing diversity, equity, and inclusion within organizations, demonstrating a commitment to cultivating a multifaceted workforce.

However, the application of AI in recruitment has raised valid concerns regarding inherent biases that may inadvertently influence the hiring process. Traditional recruitment methods often inadvertently favor certain demographics, but AI, when not carefully calibrated, has the potential to replicate or even amplify these biases. Recognizing this, developers and HR professionals are employing innovative strategies to ensure that Automated Candidate Sourcing tools are part of the solution, not the problem.

Key to mitigating bias in AI-driven recruitment is the design and deployment of algorithms that prioritize diversity. By anonymizing candidate profiles, these tools can evaluate candidates based on their skills, experience, and potential, rather than demographic factors that should not influence hiring decisions. This approach not only helps in reducing conscious and unconscious biases but also ensures a more inclusive recruitment process.

Moreover, the sophistication of AI in Automated Candidate Sourcing lies in its ability to identify diverse candidate pools by analyzing a broader spectrum of data points. Instead of relying on traditional markers, AI algorithms can sift through extensive datasets to uncover candidates who bring a wide range of perspectives, experiences, and skills to the table. This capability is crucial for organizations aiming to break the mold and enrich their teams with diverse talents.

To further this cause, several AI sourcing tools have integrated features specifically designed to enhance diversity recruitment. These tools leverage advanced algorithms to ensure job advertisements reach a broad audience and actively seek out underrepresented candidates. By doing so, they not only expand the talent pool but also promote equality of opportunity in the recruitment process.

The journey towards diversity and inclusion is ongoing, and Automated Candidate Sourcing through AI is a powerful ally in this endeavor. By consciously employing AI tools that are designed to reduce bias and promote diversity, organizations can take significant steps towards creating more inclusive workplaces. This shift not only reflects a moral imperative but also a strategic advantage, as diverse teams are known to be more innovative, resilient, and successful.

Integrating AI Sourcing with Other HR Technologies in Automated Candidate Sourcing

The advent of Automated Candidate Sourcing has marked a significant leap forward in the recruitment domain, particularly with the integration of AI sourcing tools. These advancements, however, reach their full potential when seamlessly connected with other HR technologies, such as Human Resource Information Systems (HRIS) and Learning Management Systems (LMS). This integration is pivotal for achieving a holistic approach to talent management, encompassing everything from initial sourcing and recruitment to onboarding and ongoing development.

The synergy between Automated Candidate Sourcing and other HR technologies facilitates a streamlined, efficient process that enhances the candidate and employee experience. By integrating AI sourcing tools with HRIS, for example, recruiters can automatically transfer candidate data into the broader HR database once a candidate is hired. This eliminates manual data entry, reduces errors, and ensures a smooth transition from candidate to employee.

Similarly, the integration with LMS systems is equally beneficial. Once onboarded, the data gathered during the sourcing and recruitment phases can be used to tailor learning paths and development plans for new hires. This personalized approach to continuous learning is not only efficient but also engages employees, contributing to higher satisfaction and retention rates.

The benefits of this integration extend beyond operational efficiency. From a strategic standpoint, it provides HR professionals with a comprehensive view of the talent lifecycle within their organization. They can track the effectiveness of their Automated Candidate Sourcing efforts, monitor the progress of new hires, and identify opportunities for further development. This integrated data approach supports better decision-making and helps in aligning HR strategies with broader business objectives.

Moreover, the integration of Automated Candidate Sourcing tools with HRIS and LMS platforms enables a more dynamic talent management strategy. It allows for real-time adjustments to recruitment campaigns and learning programs based on data-driven insights. Whether it’s identifying skills gaps in the current workforce or predicting future hiring needs, this interconnected system provides a powerful tool for proactive HR management.

In practice, achieving this level of integration may require careful planning and collaboration with technology providers. It’s important to select AI sourcing tools that offer compatibility and integration capabilities with existing HR technologies. Additionally, HR professionals should consider the scalability of these solutions to accommodate future growth and evolving talent management needs.

The integration of Automated Candidate Sourcing with HRIS and LMS technologies represents a significant advancement in the HR field. It not only streamlines the recruitment and onboarding processes but also supports a more strategic, data-informed approach to talent management. As organizations continue to navigate the complexities of the modern workforce, the importance of such integration will only grow, highlighting the need for cohesive, technology-driven HR practices.

Real-world Success Stories in Automated Candidate Sourcing

The transformative power of Automated Candidate Sourcing is not just theoretical. Across various industries, companies have leveraged AI sourcing tools to revolutionize their recruitment processes, witnessing remarkable improvements in efficiency, candidate quality, and overall HR operations. By examining these real-world success stories, organizations considering Automated Candidate Sourcing can gain insights into the tangible benefits and potential impact on their own hiring processes.

Success Story 1: Tech Startup Accelerates Growth with AI

A rapidly growing tech startup faced the challenge of scaling its workforce to keep pace with its expansion. Traditional recruitment methods were time-consuming and often failed to yield the desired candidate quality. By implementing an Automated Candidate Sourcing solution, the company was able to reduce its average time-to-hire by 50%. The AI-driven tool not only expedited the sourcing process but also improved the match quality between job requirements and candidate skills, leading to a higher success rate in hires and significantly reduced turnover in key positions.

Success Story 2: Global Retailer Enhances Diversity Hiring

A multinational retailer committed to diversity and inclusion sought to improve its recruitment strategy to attract a more diverse workforce. Utilizing an AI sourcing tool equipped with advanced algorithms designed to minimize unconscious bias, the company saw a 40% increase in the diversity of its candidate pool within six months. This shift not only contributed to a more inclusive workplace culture but also brought a variety of perspectives that enhanced the company's problem-solving and innovation capabilities.

Success Story 3: Healthcare Provider Optimizes Recruitment Efficiency

Facing the critical need for specialized roles in a competitive market, a healthcare provider turned to Automated Candidate Sourcing to streamline its recruitment efforts. The AI-powered platform enabled the organization to source candidates with highly specific qualifications and experiences, reducing the time spent screening unsuitable applicants. As a result, the healthcare provider noted a 30% improvement in recruitment efficiency and a significant enhancement in the quality of care delivered by newly hired professionals.

Success Story 4: Financial Services Firm Improves Candidate Engagement

A financial services firm struggling with low applicant engagement rates implemented an automated sourcing and engagement tool. This tool personalized communication with potential candidates based on their profiles and interactions, leading to a threefold increase in engagement rates. The enhanced candidate experience not only attracted higher-quality applicants but also positively impacted the firm's employer brand in the financial sector.

These success stories underscore the transformative potential of Automated Candidate Sourcing across various industries. By leveraging AI to enhance recruitment processes, companies can achieve faster, more efficient hires, attract better quality candidates, and meet strategic goals such as diversity and inclusion. These real-world examples provide compelling evidence of the benefits of integrating AI into talent acquisition strategies, illustrating how technology can address some of the most pressing challenges in recruitment today.

Future of AI in HR and Talent Acquisition Through Automated Candidate Sourcing

The horizon of Human Resources and talent acquisition is rapidly evolving, largely driven by advancements in Artificial Intelligence (AI), including Automated Candidate Sourcing. As we look to the future, it's evident that AI will not only continue to streamline recruitment processes but also fundamentally transform them. Emerging trends and developments in AI, such as enhanced natural language processing (NLP), predictive analytics, and deeper learning capabilities, promise to bring about significant changes in how organizations source and engage with potential candidates.

Advancements in Natural Language Processing (NLP)

NLP technology is set to revolutionize Automated Candidate Sourcing by enabling more sophisticated interactions between AI systems and human language. This means that AI tools will become increasingly adept at understanding job descriptions, candidate resumes, and even the nuances of candidate inquiries in natural language. Such advancements will allow for more accurate matching of job requirements with candidate profiles, and more engaging, human-like interactions with candidates. This will not only improve the efficiency of the sourcing process but also enhance the candidate experience, making it more personalized and engaging.

Predictive Analytics in Talent Acquisition

Predictive analytics is another area where significant advancements are expected to impact Automated Candidate Sourcing. By analyzing historical data and identifying patterns, AI tools will be able to predict hiring needs, identify potential candidate sources, and even forecast the success of candidates in specific roles. This proactive approach to talent acquisition will enable organizations to stay ahead of their talent needs, ensuring they have the right people in the right positions to meet their strategic goals.

Transforming Candidate Sourcing and Engagement

The future of Automated Candidate Sourcing lies in its ability to not only find candidates more efficiently but also to engage with them in more meaningful ways. AI-driven tools will leverage data analytics to tailor communication strategies to individual candidates, fostering a more personalized recruitment experience. This level of engagement is crucial in building relationships with passive candidates and ensuring that organizations stand out in a competitive talent market.

Shaping the Future Workplace and HR Roles

The integration of AI in HR and talent acquisition is not just about improving efficiency; it's about reshaping the future workplace and the role of HR within it. As Automated Candidate Sourcing and other AI tools take on more of the administrative burden, HR professionals will be freed to focus on more strategic initiatives. This includes workforce planning, talent management, and employee engagement strategies that align with organizational goals. HR roles will evolve to be more strategic, leveraging AI insights to make data-driven decisions that support the growth and success of the organization.

The future of AI in HR and talent acquisition is bright, with Automated Candidate Sourcing at the forefront of this transformation. As technology continues to advance, the ways in which organizations source, engage, and retain talent will become increasingly sophisticated and effective. By embracing these changes, HR professionals can look forward to a future where their roles are more strategic, impactful, and integral to the success of their organizations.

Ethical Considerations and Best Practices in Automated Candidate Sourcing

As the adoption of Automated Candidate Sourcing technologies becomes more widespread, it's imperative to address the ethical considerations that accompany the use of AI in recruitment. The implementation of these technologies brings forth significant benefits but also raises concerns regarding privacy, data security, and the potential for unintended bias. Ensuring ethical practices in the deployment of AI sourcing tools is crucial for maintaining trust and fairness in the recruitment process.

Privacy and Data Security

The collection and analysis of candidate data by AI tools must be handled with the utmost respect for privacy. Organizations must adhere to data protection regulations, such as GDPR in Europe, which set the standard for data privacy. Best practices include transparently communicating with candidates about the data being collected and the purpose of its use. Additionally, securing candidate data against unauthorized access is paramount. Implementing robust cybersecurity measures and regularly auditing AI systems for vulnerabilities are essential steps in protecting candidate information.

Mitigating Unintended Bias

One of the most significant ethical concerns in Automated Candidate Sourcing is the potential for AI algorithms to perpetuate or even exacerbate bias. While AI has the power to enhance diversity and reduce bias by evaluating candidates based on their skills and experiences, it's essential to recognize that algorithms are designed by humans and may inadvertently incorporate biases. To mitigate this, organizations should:

  • Regularly review and update AI algorithms to ensure they do not disadvantage any group of candidates.
  • Use diverse datasets to train AI models, reflecting a wide range of demographics and experiences.
  • Incorporate fairness audits into the AI system's lifecycle, assessing the tool's impact on different demographic groups.

Promoting Fairness and Transparency

Transparency in Automated Candidate Sourcing is key to promoting fairness. Organizations should be open about their use of AI in recruitment processes and provide candidates with information on how decisions are made. This includes explaining the role of AI in screening and selection and offering feedback or insights into the decision-making process when possible.

Best practices for implementing AI sourcing tools ethically include:

  • Establishing clear guidelines for the use of AI in recruitment, ensuring all stakeholders understand the principles guiding the technology's deployment.
  • Engaging in continuous dialogue with candidates, employees, and other stakeholders about the ethical use of AI and how it impacts the recruitment process.
  • Providing training for HR professionals on ethical AI use, emphasizing the importance of complementing AI insights with human judgment.

The ethical implementation of Automated Candidate Sourcing technologies is not just a regulatory requirement; it's a commitment to fairness, equity, and respect in the recruitment process. By addressing privacy concerns, mitigating bias, and promoting transparency and fairness, organizations can harness the benefits of AI while upholding ethical standards. These best practices ensure that the journey towards innovative recruitment technologies does not compromise the core values of respect and equality for all candidates.

User Experience (UX) Design of AI Sourcing Tools in Automated Candidate Sourcing

The efficacy of Automated Candidate Sourcing is significantly influenced by the user experience (UX) design of AI sourcing tools. An intuitive and user-friendly interface is crucial not only for recruiters, who navigate these platforms daily, but also for candidates, who interact with these systems, often as their first touchpoint with a potential employer. The UX design of these tools plays a pivotal role in enhancing operational efficiency and fostering positive engagement with the platform.

For Recruiters

From the recruiter's perspective, a well-designed UX in Automated Candidate Sourcing tools simplifies the complexity of sourcing candidates through AI. Features such as easy navigation, clear categorization of information, and streamlined processes for posting jobs and reviewing candidates can drastically reduce the time and effort spent on recruitment tasks. Moreover, dashboards that provide at-a-glance insights into recruitment metrics enable recruiters to make informed decisions swiftly. Tools renowned for their superior UX design, such as those offering customizable workflows or predictive analytics presented in an accessible format, empower recruiters to optimize their sourcing strategies with greater ease and precision.

For Candidates

On the candidate side, the UX of AI sourcing tools significantly impacts their application experience and perception of the hiring organization. A straightforward and engaging application process, clear instructions, and timely feedback contribute to a positive candidate experience. Tools that facilitate seamless interaction, such as chatbots that provide instant responses to queries or platforms that allow candidates to easily track their application status, set the stage for a more engaging relationship between candidates and the company. This positive experience can enhance the employer's brand in the job market, attracting more high-quality candidates.

Highlighting Tools with Excellent UX

Several Automated Candidate Sourcing tools stand out for their exceptional UX design, offering both recruiters and candidates a seamless experience. For instance, platforms that integrate AI-driven recommendations with an intuitive interface help recruiters discover candidates that might have been overlooked otherwise. Similarly, sourcing tools that offer candidates personalized job recommendations and insights into their application status exemplify how UX can be leveraged to keep candidates engaged and informed throughout the recruitment process.

Enhancing Efficiency and Engagement

The benefits of investing in UX design for Automated Candidate Sourcing tools extend beyond aesthetic appeal. For recruiters, a superior UX translates to increased efficiency in managing recruitment workflows and a more strategic approach to talent acquisition. For candidates, a positive interaction with the sourcing tool can increase their engagement and interest in the company. Ultimately, the quality of the UX design in AI sourcing tools can be a differentiating factor that enhances the recruitment process for all stakeholders involved.

In the landscape of Automated Candidate Sourcing, the importance of UX design cannot be overstated. As AI continues to redefine the boundaries of talent acquisition, ensuring that both recruiters and candidates have positive interactions with these technologies is crucial. By focusing on UX design, organizations can not only improve the efficiency and effectiveness of their recruitment processes but also enhance their attractiveness as employers in a competitive job market.

Wrapping Up

It is painstakingly difficult for recruiters or better, sourcers, to find the correct channels where they can source top candidates and make the entire process seamless.

However, the entry of AI candidate sourcing has flipped the game and made the situation more relaxed.

You can choose the best AI candidate sourcing tools from the list above and shrug the responsibility off your shoulders.

We at HireQuotient promise to source the best talents for your organization.

Book a demo with us today!



Radhika Sarraf

Radhika Sarraf is a content specialist and a woman of many passions who currently works at HireQuotient, a leading recruitment SaaS company. She is a versatile writer with experience in creating compelling articles, blogs, social media posts, and marketing collaterals.

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