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SPi Global - Social Media Customer Experience Services

Vendor Analysis

by Ivan Kotzev

published on Sep 23, 2020

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Report Overview:

This NelsonHall vendor assessment analyzes SPi Global's offerings and capabilities in Social Media Customer Experience Services

Who is this Report for:

NelsonHall’s Social Media CX Services profile on SPi Global is a comprehensive assessment of SPi Global’s offerings and capabilities, designed for:

  • Sourcing managers monitoring the capabilities of existing suppliers of CX services and identifying vendor suitability for security services RFPs
  • Vendor marketing, sales, and business managers looking to benchmark themselves against their peers
  • Financial analysts and investors specializing in the CX Services sector.

Scope of this Report:

The report provides a comprehensive and objective analysis of SPi Global’s CX services offerings and capabilities, and market and financial strengths, including:

  • Identification of the company’s strategy, emphasis, and new developments
  • Analysis of the company’s strengths, weaknesses, and outlook
  • Revenue estimates
  • Analysis of the profile of the company’s customer base including the company’s targeting strategy and examples of current contracts
  • Analysis of the company’s offerings and key service components
  • Analysis of the company’s delivery organization including the location of delivery locations.

Key Findings & Highlights:

SPi Global is focusing on its data operations services with monitoring, acquisition, enrichment, and delivery, starting in the education industry. In content moderation, it typically operates on the client platforms but now aims to supplement the manual moderation services with proprietary ML-based algorithms, specialized in the exception. The main challenge here is the integration with the client's content management systems. Alternatively, the company wants to assist in the data preparation processes with activities such as data cleansing, labeling, augmentation, auditing, and AI model testing for the client's own algorithms.

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