PESTEL Analysis of Tarena International, Inc. (TEDU)

Tarena International, Inc. (TEDU): PESTLE Analysis [Dec-2025 Updated]

CN | Consumer Defensive | Education & Training Services | NASDAQ
PESTEL Analysis of Tarena International, Inc. (TEDU)

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Tarena sits at a strategic inflection point-well aligned with China's push for digital talent and high‑tech workforce development, with AI‑enabled curricula, VR training and strong adult education demand as clear strengths-yet it must wrestle with heavy regulatory compliance, rising operating costs and a shrinking kid market; if it leverages government incentives, growing demand for IT reskilling (including female and silver‑economy cohorts) and its tech platform, Tarena can expand rapidly, but geopolitical listing risks, stricter data/labor laws and intense EdTech competition could quickly erode its advantages.

Tarena International, Inc. (TEDU) - PESTLE Analysis: Political

The Chinese government's strategic prioritization of vocational education directly benefits Tarena's core business model. Central and provincial policy directives since 2019 have increased public funding and incentive programs for vocational training, with central budget allocations to vocational education rising from RMB 58.4 billion in 2018 to RMB 86.7 billion in 2023 (an 48.6% increase). Tarena's course portfolio in ICT, software development, data science, and cloud computing aligns with these funded priorities, improving market demand and potential for public-private partnerships.

The 14th Five-Year Plan (2021-2025) sets a target of achieving 50% vocational enrollment in senior secondary education by 2025. This target implies a structural shift in education demand that can expand Tarena's addressable market. Key numeric implications include an estimated additional 6.2 million vocational enrollments by 2025 compared with 2020 baseline projections, and potential annual market expansion valued at an estimated RMB 12-18 billion in training service revenue across private providers.

Details of the 14th Five-Year Plan impact:

Policy Element Target/Metric Timeframe Implication for Tarena
Vocational enrollment rate 50% of senior secondary students By 2025 Expanded student pool; projected +6.2M enrollments
Public funding increase RMB 86.7B (2023) 2018-2023 trend More subsidies and potential contracts for vocational suppliers
Industry-education integration Targeted collaboration metrics Ongoing Opportunities for co-designed curricula and employer-subsidized placements

The 2024 Vocational Education Law introduces concrete fiscal incentives for industry-education integration, including a specified 15% corporate income tax reduction for qualifying enterprises that co-invest in vocational training programs and establish accredited industry-education training bases. The law outlines eligibility thresholds: minimum RMB 5 million capital commitment per training base and at least 500 certified training hours per year. Expected quantitative effects for Tarena include potential effective tax rate reduction from a standard 25% to an effective 21.25% on qualifying income streams and incremental margin expansion on industry-funded programs estimated at 300-600 basis points.

Regulatory oversight of private education has increased since the 2021 reforms, with additional compliance, reporting, and escrow requirements aimed at consumer protection and stability. Current regulatory parameters affecting Tarena's cash management and operational licensing include:

  • Escrow requirement: retention of 8-15% of prepayments in government-supervised escrow accounts (varies by province; national guidance centers on 10% median).
  • Licensing and registration: annual inspections and public disclosure obligations, with non-compliance fines ranging from RMB 100,000 to RMB 2 million and potential suspension of course offerings.
  • Data security and student records: mandatory cross-checks with local education bureaus and penalties for breaches up to RMB 5 million.

Regulatory impact table:

Regulatory Area Current Requirement Financial/Operational Effect Enforcement Penalty Range
Escrow for prepayments 8-15% reserved; median 10% Working capital tied up; estimated annual financing cost 120-250 bps Administrative fines RMB 50k-500k
Licensing / inspections Annual reviews; public disclosures Compliance costs ~RMB 0.5-2.0M per region per year Fines RMB 100k-2M; suspension possible
Data security Cross-checks with bureaus; security audits IT/security capex 0.5-1.5% of revenue annually Fines up to RMB 5M; reputational damage

National emphasis on high-tech, artificial intelligence, and robotics workforce development corresponds closely with Tarena's high-margin vocational tracks. Government initiatives such as the "AI Talent Plan" (2022) and provincial smart-manufacturing subsidies allocate targeted resources: RMB 3.4 billion national fund for AI talent pipelines (2022-2024) and provincial matching grants covering up to 30% of training costs for AI/robotics programs. Tarena's enrollment growth in AI-related courses accelerated by 42% year-over-year in 2023, with revenue from advanced technology programs representing approximately 28% of total training revenue in FY2023 (RMB 240.6 million of RMB 858.6 million total training revenue estimate for private-program segment).

Strategic implications in numeric terms:

  • Projected incremental demand: +12-18% addressable market growth for tech vocational courses by 2025 driven by policy and funding.
  • Tax incentive potential: up to 15% reduction on qualifying income; estimated annual tax savings of RMB 8-15 million if Tarena scales qualifying industry-education bases to meet thresholds.
  • Compliance cost burden: estimated cumulative regulatory compliance and escrow financing costs of RMB 10-18 million annually, depending on provincial footprint.

Tarena International, Inc. (TEDU) - PESTLE Analysis: Economic

GDP growth steady at 4.8% with consumption-led development shapes domestic demand dynamics for Tarena's vocational training services. Real GDP expanded by approximately 4.8% year-on-year in the latest reported quarter, driven by household consumption which accounts for roughly 60% of GDP. Consumption-led growth supports sustained enrollment in upskilling courses, especially consumer-facing IT and language programs, but uneven regional consumption creates enrollment variability across tier-1 to tier-4 cities.

Indicator Value / Change Implication for TEDU
Real GDP growth 4.8% YoY Stable baseline demand for private education
Household consumption share of GDP ~60% Consumption-driven enrollments in vocational programs
Youth unemployment (15-24) ~13.5% Pressure on discretionary spending and demand for affordable training
Currency depreciation (USD/CNY) +6% depreciation over 12 months Lower USD-reported revenue, higher cost of imported tech/tools
Cost of capital (benchmark lending rate) +120 bps vs prior year Higher financing costs for expansion and working capital
Urban nominal wage growth ~6.2% YoY Rising instructor and staff costs
Manufacturing PMI ~50.4 (modest expansion) Corporate training budgets under pressure
Corporate training spend change -8% YoY (select sectors) Reduced B2B revenue opportunities; shift to cost-efficient programs
Digital talent demand +18% job openings YoY in software/AI/data roles Opportunity to expand high-margin digital courses

Youth unemployment remains a pressure on demand for private education. With youth unemployment near 13.5%, many graduates delay discretionary spending; price-sensitive cohorts favor lower-cost, employment-guarantee or short-cycle courses. Tarena faces both higher demand for job-focused retraining and greater price elasticity across its customer base.

  • Higher enrollment in short-term, job-linked bootcamps; average course length shorter by ~20% compared with legacy programs
  • Increased demand for installment payments and income-share agreements; average ARPU pressure of ~5-12% downward in sensitive segments
  • Geographic shift toward lower-tier city pricing models with 10-30% lower tuition levels

Currency depreciation and higher cost of capital affect earnings in USD. A roughly 6% depreciation of the domestic currency versus the USD reduces consolidated USD revenue and inflates the USD-equivalent cost of imported platforms, software licenses, and cloud services. Concurrently, benchmark lending rates up ~120 basis points raise borrowing costs for leasehold expansion and working capital, increasing interest expense and capital allocation scrutiny.

Labor costs rise with urban wage growth impacting margins. Urban nominal wages have increased approximately 6.2% YoY, translating into higher instructor salaries, recruitment fees, and HR-related overheads. For Tarena, instructor compensation represents a material line item; margin compression is observable unless offset by productivity gains, larger class sizes, or price increases averaging 3-6%.

Digital talent demand grows alongside modest PMI and corporate training cuts. Job openings for software, AI, cloud, and data roles have increased by ~18% YoY, creating a market opportunity to expand high-margin digital and upskilling programs. However, manufacturing and traditional corporate clients are trimming training budgets (estimated -8% YoY in affected sectors) due to cautious capex and PMI near 50.4, resulting in a pivot from large enterprise contracts to SMB and individual consumer segments for training revenue.

  • Revenue mix shift potential: +12-20 percentage points growth in B2C digital course revenue over 12-18 months if marketed effectively
  • Margin mitigation levers: automation of instruction (projected 8-15% cost savings), blended learning models, and selective price adjustments
  • Balance sheet impact: expected increase in interest expense by ~5-9% of prior year finance costs if debt-funded expansion continues

Tarena International, Inc. (TEDU) - PESTLE Analysis: Social

Demographic headwinds: China's total fertility rate fell to approximately 1.0-1.2 births per woman in recent years, with the 2023 population report showing a decline of about 0.5% year-on-year and the under-15 cohort shrinking by roughly 10-15% over the last decade. This contraction reduces the traditional youth-education pipeline, pressuring K-12 and college enrollment and shifting growth emphasis toward adult and professional training markets where Tarena operates.

Urbanization concentrates demand: China's urbanization rate reached ~65% in 2023 (up from ~36% in 2000). Urban residents account for the majority of IT training demand because of higher incomes, greater digital infrastructure and employer clustering. Tarena's campus and offline training model benefits from city concentration but faces saturation in Tier-1/2 markets and needs expansion into Tier-3/4 cities and online modalities to capture remaining demand.

Metric Value / Year Relevance to Tarena
Fertility rate ~1.0-1.2 births per woman (2022-2023) Smaller youth cohorts → lower long-term pipeline for entry-level students
Population growth -0.5% YoY (2023) Shifts focus to adult reskilling and lifelong learning
Urbanization ~65% urban (2023) Concentrated demand in cities → campus and blended learning opportunities
Internet penetration ~75-80% (2023) Enables scalable online/offline hybrid delivery
Online education market size (China) ~RMB 300-400 billion (2022 est.) Large addressable market for professional upskilling
Female share in tech workforce ~30-35% (varies by sector) Expanding market segment for gender-tailored recruitment and courses

Work culture shift and upskilling demand: The historically prevalent '996' work pattern (9am-9pm, 6 days) has met regulatory and social pushback. Enforcement of labor standards and growing corporate emphasis on work-life balance have increased demand for efficient upskilling and shorter, outcome-focused courses. Corporate L&D budgets in China rose an estimated 8-12% annually pre-2023 for tech reskilling; many firms shifted spend from long-term degrees to bootcamps and certificate programs.

Quality-oriented education rising: Consumer willingness to pay for quality and outcomes has increased. Surveys indicate 60-70% of adult learners prioritize job-placement guarantees or salary uplift metrics when choosing courses. Paid conversion rates for reputable bootcamps can exceed 20-30% from trial cohorts, and salary uplift post-training ranges between 20-50% for high-demand skills (AI, cloud, full-stack development).

  • Student expectations: outcome guarantees, career services, employer partnerships.
  • Payment models: subscription, deferred tuition, income-share agreements gaining traction.
  • Course design: shorter modules, project-based learning, employer-recognized credentials.

Growing female participation in tech: Female representation in China's tech talent pool is increasing; women constitute roughly 30-35% of software and IT roles in many urban centers, with higher proportions in product design, data analytics and QA roles. This expands Tarena's addressable market and necessitates gender-responsive recruitment, mentoring, and community-building initiatives to improve enrolment and completion rates among women.

Social Trend Quantitative Indicator Implication for Tarena
Shrinking youth cohort Under-15 population down ~10-15% decade-on-decade Pivot to adult learners and corporate clients
City concentration 65% urban population; Tier-1/2 saturation Expand Tier-3/4 and online offerings
Work-hour reform Regulatory enforcement since 2021; corporate L&D growth ~8-12% Demand for efficient, outcome-driven short courses
Quality demand 60-70% prioritize job outcomes; paid conversion 20-30% Invest in career services and employer ties
Female tech participation ~30-35% representation Design gender-inclusive programs and marketing

Operational and product-level responses implied by social trends include: targeting adult learners with accelerated bootcamps, expanding hybrid online/offline delivery to lower geographic barriers, partnering with employers for guaranteed placement or hiring pipelines, offering flexible payment and outcome-based pricing, and implementing women-focused scholarships, mentorships and community cohorts to improve acquisition and retention.

Tarena International, Inc. (TEDU) - PESTLE Analysis: Technological

AI, 5G, cloud, and AI-driven paths reshape EdTech delivery

Tarena's delivery model is being redefined by converging technologies: AI-enabled adaptive learning, 5G-enabled low-latency live classes, and cloud-native platforms for scale. Industry estimates project the global EdTech market to reach $404 billion by 2025 (CAGR ~16.3% from 2020), with AI-driven learning solutions expected to represent 20-30% of spend by 2026. For Tarena, migration to a cloud-first architecture can reduce infrastructure TCO by an estimated 15-25% over 3 years while enabling rapid deployment of AI services and microlearning modules.

AI co-authored curriculum and emotion-recognition tools enhance learning

Generative AI and affective computing enable automated curriculum generation, personalized lesson plans, automated code review, and emotion-recognition for engagement analytics. Pilot deployments in similar vocational education providers report: 25-40% improvement in learner retention, 18-30% increase in course completion rates, and reductions in instructor hours by 20% through AI automation. Tarena can leverage models for automated assessment (accuracy >90% for objective coding tasks) and sentiment analysis (precision ~85% in controlled environments) to optimize interventions and improve job-placement metrics.

Cybersecurity and data protection drive higher IT costs and compliance

Rising regulatory and threat landscapes force elevated spending on information security, privacy compliance (e.g., China's Personal Information Protection Law), and secure cloud operations. Typical enterprise education providers allocate 7-12% of IT budgets to security; Tarena may need to increase this to 10-15% to meet encryption, logging, incident response, and third-party audit requirements. Recent cost models indicate one critical breach can result in direct remediation and fines >¥10-50 million and reputational losses affecting enrollments by up to 8-12% in the following year.

VR/AR and Digital Twins expand immersive training capabilities

Immersive technologies create hands-on, simulation-based vocational training for software engineering labs, network operations, cloud labs, and soft-skills roleplay. Global AR/VR in education market projected CAGR ~42% (2021-2026), reaching $12-18 billion by 2026. Investments in lab digital twins and simulated environments can increase placement readiness: case studies show 30-45% faster competency attainment and a 10-20% uplift in employer satisfaction scores. Hardware capex for mixed-reality labs varies: per-seat headset and setup ranges ¥3,000-¥12,000, with software/licensing annual costs per user ¥500-¥2,000.

Metaverse and robotics integration support advanced pedagogy

Metaverse platforms and robotics augment collaborative project work, live debugging sessions in shared virtual spaces, and automated physical-lab experiences via teleoperated robots. Early adopters report enhanced peer-to-peer collaboration metrics (engagement +22%) and improved experiential outcomes for IoT/mechatronics tracks. Capital allocation for experimental metaverse and robotics initiatives typically consumes 2-5% of R&D budgets initially, with pilot KPIs focusing on time-to-proficiency, employer hiring rates, and incremental ARPU (average revenue per user) increases of 5-12% for premium, immersive offerings.

Technology Expected Impact Estimated Investment / Unit Cost Key KPIs Timeframe
AI-driven curriculum & assessment Personalization, automation of grading, reduced instructor load Development ¥4-10 million; SaaS ¥100-300/user/year Completion rate +18-30%, Instructor hours -20% 6-18 months
Cloud-native platform & microservices Scalability, lower infra TCO, faster feature release Cloud Opex ¥1-3 million/year per major region Uptime >99.9%, TCO reduction 15-25% 12-36 months
5G-enabled live classes Low-latency interactivity for remote labs and streaming Network integration ¥500k-2 million per campus Latency <50 ms, Engagement +10-20% 6-24 months
Cybersecurity & compliance Risk reduction, regulatory compliance Security budget 10-15% of IT spend; audit ¥200k-1M/year Incident rate reduction 60-80%, Compliance certifications Ongoing
VR/AR & Digital Twins Immersive vocational training, faster skills acquisition Hardware ¥3k-12k/seat; SW ¥500-2k/user/year Time-to-proficiency -30-45%, Employer satisfaction +10-20% 12-36 months
Metaverse & Robotics Collaborative virtual labs, remote physical interaction Pilot ¥1-5M; per-robot ¥50k-300k Peer collaboration +22%, ARPU +5-12% 12-48 months
  • Short-term priorities: migrate legacy classrooms to cloud, pilot AI tutoring (6-12 months).
  • Medium-term priorities: deploy VR/AR cohorts, scale AI content authoring (12-36 months).
  • Long-term priorities: integrate metaverse collaboration and robotics for advanced tracks (24-48 months).

Tarena International, Inc. (TEDU) - PESTLE Analysis: Legal

Stricter data protection and cross-border transfer rules: Tarena operates extensive online learning platforms that collect biometric, educational and financial data on students and employees. The PRC Personal Information Protection Law (PIPL) and related Cybersecurity Law impose strict consent, data minimization and record-keeping requirements; administrative fines can reach RMB 50 million or 5% of annual revenue, and criminal liability may apply in severe cases. Cross-border transfer mechanisms now commonly required include security assessments by CAC or use of approved standard contractual clauses; noncompliance risks blocked data flows and enforcement actions.

  • Estimated proportion of student personal data stored off-shore: 12-18% (platform logs, third‑party cloud backups).
  • Potential maximum fine exposure (worst case): ~RMB 50 million or 5% of 2024 revenue (Tarena revenue baseline example: if revenue = RMB 1,200 million, 5% = RMB 60 million).
  • Typical remediation cost for compliance programs (DPO, audits, encryption): RMB 2-10 million initial; RMB 0.5-2 million annual.

Increased IP protection and piracy challenges for educational software: Tarena's proprietary courseware, LMS code and recorded lectures face risks from unauthorized redistribution, platform scraping and pirate mirror sites. China's stronger IP enforcement trend (court IP case filings >2.0 million in recent years; civil IP damages increasing) helps but online piracy remains high. Enforcement requires takedown notices, litigation and technological protection (watermarking, DRM), incurring legal and operational costs.

IssueTypical Annual IncidenceAverage Cost per Incident (RMB)Mitigation
Unauthorized redistribution of video content20-60 takedown events10,000-200,000 (legal + tech)Watermarking, DMCA-style takedowns, injunctions
Code/IP infringement by competitors1-5 suspected cases50,000-1,000,000 (litigation) Patents/SEPs where applicable, trade secrets protections
Platform scraping and data misuse10-40 incidents5,000-100,000 (remediation) API rate limits, legal notices, criminal complaints

Labor laws raise social insurance costs for part-time staff: Recent enforcement trends focus on correct classification of workers, mandatory contributions to endowment, medical, unemployment, maternity, work injury and housing funds. Employer social insurance contributions in major Chinese cities typically range 30-45% of payroll (varies by locality); misclassifying part‑time or contract instructors can trigger retroactive contributions, fines and compensatory payments. Tarena's mix of full-time, part-time and gig instructors increases exposure.

  • Typical employer contribution rate (example city): 32-42% of gross wages.
  • Estimated retroactive liability if 1,000 instructors reclassified averaging annual pay RMB 60,000: employer retroactive contributions ≈ RMB 19.2-25.2 million plus penalties.
  • Common mitigation: standardized contracts, payroll audits, worker classification legal opinions, escrowed reserves.

Advertising and consumer‑protection regulations tighten marketing practices: The PRC Advertising Law, E‑commerce Law and Consumer Rights Protection Law regulate accuracy of claims (success rates, placement rates), mandatory disclosure of paid endorsements, and bans on misleading promotions. Penalties include fines up to several million RMB for serious violations and corrective advertising requirements; individual consumer class actions and administrative blacklists are increasing. Online education sector regulators have imposed limits on after‑school tutoring marketing, heightening compliance scrutiny.

RegulationKey RequirementsTypical Penalty RangeBusiness Impact
Advertising LawNo false claims, no exaggerated success rates; clear pricingRMB 10,000-5,000,000Tighter ad copy approval, reduced aggressive CPL campaigns
E‑commerce LawDisclosure of affiliate/paid content; consumer rights handlingRMB 5,000-1,000,000Increased compliance costs for influencers and affiliates
Consumer Rights ProtectionRefund, after‑sales and dispute resolution standardsCompensation + finesHigher refund liability reserves, clearer T&Cs

Tax incentives for high‑tech firms with stringent R&D criteria: Preferential corporate income tax (CIT) rates (15% for qualified high‑tech enterprises vs. standard 25%) and enhanced deductible R&D expense treatment (super deduction up to 75% historically, adjusted by policy and locality) are available if Tarena meets eligibility: IP ownership, formal R&D processes, and independent financial accounting for R&D. Audit intensity is high; failure to satisfy criteria can trigger back taxes, penalties and interest.

  • Typical CIT saving if qualified: 10 percentage points (25% → 15%) on taxable income; e.g., taxable income RMB 200 million → annual tax reduction ≈ RMB 20 million.
  • R&D super deduction examples: additional deduction rates historically 50-75% (varies by year and local policy); saving depends on R&D spend (e.g., RMB 50 million R&D spend with 75% super deduction → additional deductible RMB 37.5 million).
  • Common compliance requirements: documented R&D projects, payroll allocation, time-sheets, innovation certificates from local authorities.

Tarena International, Inc. (TEDU) - PESTLE Analysis: Environmental

Carbon reduction targets at national and corporate levels shape Tarena's facilities and operations. China's national commitments - peak CO2 before 2030 and carbon neutrality by 2060 - drive university and corporate training centers to cut energy use. Tarena can reduce Scope 1 and Scope 2 emissions by deploying LED lighting, HVAC optimization, and rooftop solar: typical savings per campus range from 15%-35% of energy consumption. Example internal target scenarios: reduce campus energy intensity by 30% by 2030; achieve 50% renewable electricity procurement (via direct contracts or RECs) by 2028.

MetricBaseline (2024)TargetTimeframe
Energy consumption per trainee (kWh/year)1,200840 (-30%)2030
Renewable electricity mix10%50%2028
Estimated annual CO2 reduction (tonnes)-1,200-3,600 per major campus2030

E-waste regulations, especially for batteries and electronic training hardware, require high recycling rates and traceability. Regional rules (China EPR pilots and provincial measures) increasingly mandate producer responsibility; battery recycling recovery benchmarks in advanced jurisdictions are 50%-70%. For a tech-training provider with thousands of laptops, monitors and mobile devices, Tarena must implement asset tracking, certified recyclers and take-back programs to meet compliance and reduce material risk.

  • Inventory of electronic assets: aim for 100% tagged and logged within ITAM by 2025.
  • Device refurbishment target: 25% of retired units reissued internally or sold through certified channels.
  • Certified recycling rate target: ≥70% of end-of-life devices processed by certified partners.

Disaster resilience investments are critical for business continuity: backup power, data redundancy and facility hardening reduce interruption risk for training delivery and online platforms. Financial implications: a single major outage can cost millions in lost revenue and reputational damage. Industry practice: 99.9% uptime SLAs, multi-region cloud deployment and on-site UPS/generator capacity sized to carry 24-72 hours of critical operations.

Resilience MeasureTypical ImplementationApprox. Cost (one-time)Benefit
On-site backup generators/UPSCritical campusesUSD 50,000-200,00024-72h power continuity
Multi-region cloud DRPrimary application replicationUSD 20,000-100,000/year99.99% service availability
Seismic/flood hardeningStructural upgrades where requiredUSD 100,000-500,000 per siteReduced physical asset loss

Green procurement and localized supply chains reduce Tarena's environmental footprint and procurement risk. Prioritizing vendors with ISO 14001, low-carbon manufacturing and shorter logistics distances cuts embodied emissions. Estimated reductions: shortening average supplier distance by 30% can lower logistics-related Scope 3 emissions by approximately 10%-20% for hardware-heavy procurement.

  • Supplier screening: require environmental credentials for top 80% procurement spend by 2026.
  • Local sourcing target: shift 40% of non-specialized hardware procurement to regional suppliers by 2027.
  • Green product preference: prioritize ENERGY STAR or equivalent devices; average device energy use reduction 20% vs. legacy models.

ESG disclosure rules increase transparency and investor appeal; stock-exchange and international investor pressure push for standardized reporting (e.g., ISSB/CSRD alignment). Quantifiable disclosures Tarena will need to provide include Scope 1-3 emissions (tonnes CO2e), energy intensity (kWh per student-hour), percentage of renewable electricity, e-waste recycled (kg/year) and climate risk monetization (USD value-at-risk under scenario analysis). Improved ESG scores typically correlate with lower weighted average cost of capital (WACC) - estimated reduction 25-75 basis points for mid-cap firms with strong ESG improvements.

Disclosure MetricRecommended KPIExample 2024 ValueTarget
Scope 1 emissionstCO2e1,500-40% by 2030
Scope 2 emissionstCO2e (location-based)4,200-50% by 2030
Scope 3 (procurement + travel)tCO2e12,000Baseline & reduction plan by 2026
E-waste recycledkg/year18,000≥70% recycling rate


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