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As the bottleneck shifts from commitment to commercial execution, telcos need an API-specific playbook – not a one-size-fits-all approach. Drawing on extensive demand-side research, this series of reports delivers actionable guidance on pricing logic, charging models and GTM channel strategies for emerging APIs. This report focuses on Location Retrieval.
STL Partners conducted a comprehensive research programme to define strategic recommendations for network API pricing and GTM strategy.
Project overview
Focus on three priority APIs:
- KYC Match/Age
- Location Retrieval
- Quality on Demand (QoD)
Primary research: To understand API value propositions, current user issues and viable GTM channels
- 18 interviews with telcos, distributors and enterprises
- 318 respondents surveyed from enterprise customers and platforms
Secondary research: To understand alternative solutions and their price points
- 20 competing products benchmarked across features and pricing
Pricing guidance
- Price points for three named APIs: USD value and multipliers vs alternatives, split by geography with indicative ranges.
- Pricing drivers: Factors influencing willingness to pay and premium potential.
- Pricing model: Commercial models telcos should pursue beyond per-transaction pricing.
GTM guidance
- Priority partners: Which partner groups telcos should target to reach end customers.
- Roadmap: Key steps operators should take to launch and commercialise APIs.
- The telco role: The proposition and differentiators for telcos in each API, including role in the value chain beyond base API provider.
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Playbook structure: Each API section answers the same key commercial questions – from opportunity assessment through pricing, packaging and GTM strategy
Source: STL Partners
Practical next steps to monetise Location Retreival
1. Baseline deliverability first
Quantify match performance across customer base, attribute completeness, and confidence drop-offs; define what you can credibly support.
2. Understand value in operational outcomes
Run two to three pilots where location changes decisions (exceptions avoided, loss prevented, response time improved) and anchor pricing to that threshold.
3. Standardise consent and governance
Lock down consent flows, audit expectations and enterprise-ready terms so deployments do not stall in compliance cycles.
4. Target partners that own deployments
IoT platforms, industrial SIs and vertical solution providers that already own deployments and can bundle location into broader offers.
This is the second report in a three-part series that offers practical guidance on pricing, charging models, and go-to-market strategies for emerging APIs. In this report, we focus on Location Retrieval.
Table of contents
- Executive summary
- Introduction
- Location Retrieval commercial playbook
- Pricing strategies
- Go-to-market strategies
Related research
- Network API pilots to profit: A commercial playbook for KYC Match
- Enabling customer centricity in enterprise networks through NaaS
- Why Layer 1 needs NaaS: A guide for enterprises
- The telecom industry in the AI era: How telcos can follow the money
- Enterprise AI: What are the best opportunities for telcos?
- Networks for AI: Segmenting the growth
