The U.S.-based fashion tech company faced a significant challenge in scaling its customer support as the demand for its SaaS platform increased rapidly. In-house costs were high, scalability was limited, and customer satisfaction began to decline due to inconsistent coverage and slow response times. The growing needs for efficient and scalable support opened up the consideration for outsourcing solutions. To address these challenges, the company partnered with 1840 & Company to implement a blended customer support model. Dedicated agents in the Philippines were integrated into their CRM and help desk software, establishing 24/7 multilingual support across various channels. This strategic move aimed to streamline operations and improve overall service quality, aligning with the company's growth trajectory and client expectations. As a result, the company experienced a 48% reduction in support costs while achieving a 22% improvement in customer satisfaction scores (CSAT) within the first 90 days. The solution also provided a fully scalable support system, allowing the company to efficiently manage increasing demands while maintaining high service standards.

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The customer faced the challenge of high technical support costs when employing local support agents. U.S. companies often incur significant expenses on salaries, benefits, and taxes when hiring onshore teams to handle technical support tasks. This situation was exacerbated by the need for 24/7 operations and multilingual support, which added to the complexity and expense. To address these challenges, the customer outsourced its technical support needs to cost-effective regions like the Philippines, India, and LATAM. By hiring offshore and nearshore technical support agents skilled in using various helpdesk tools, the customer managed to align operations with their cost and performance goals. The solution involved the strategic deployment of multi-tier agents who supported customer inquiries, escalations, and issue resolution using the customer’s choice of CRM and helpdesk tools. As a result, the customer achieved an 88% reduction in support costs compared to the traditional U.S. hire model. The company also experienced improvement in CSAT scores and retention rates by hiring multi-tier support agents who quickly resolved issues and maintained accurate customer interaction records. The offshore and nearshore teams facilitated round-the-clock coverage and bilingual communication, meeting the customer’s operational and language requirements while significantly reducing overhead costs.

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The main challenge faced was the high cost of hiring customer experience analysts locally, which significantly impacted the budget for many companies. These organizations needed professionals skilled in data analysis and customer insights but found the salaries and overhead costs prohibitive when sourcing talent within the United States. This financial strain pushed businesses to look for alternative solutions without compromising on the quality of customer insights and service. To address this challenge, companies decided to outsource customer experience analysts to regions like the Philippines, LATAM, and EMEA. These regions offered professionals proficient in platforms like Salesforce, Zendesk, and HubSpot at a fraction of local costs. By utilizing vetted talent from these global regions, businesses were able to maintain high levels of customer analysis and reporting quality, ensure multilingual support, and receive time-zone-aligned services, particularly crucial for organizations operating across various regions. The results were substantial cost savings and improved operational efficiency. On average, by hiring from cost-efficient regions, companies achieved cost reductions of up to 86% compared to local hires in the U.S. They also reported savings of $105,000 annually when outsourcing to the Philippines and $99,000 when utilizing talent from LATAM. This strategic move allowed companies to reinvest the savings into other areas of their business, enhancing overall growth and competitiveness.

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