TMT Case Interview: Technology, Media & Telecom Frameworks, Metrics, and Worked Examples

A TMT case interview asks you to solve strategy problems in Technology, Media, or Telecommunications, a sector valued at $7.2 trillion globally in 2026 and representing 53% of total market capitalization (Source: Business Research Insights 2026). These cases test whether you can apply standard consulting frameworks while accounting for sector-specific dynamics: network effects in tech, content economics in media, and infrastructure capex in telecom. Candidates who learn 6 key metrics (ARPU, churn, CAC, LTV, penetration rate, content cost per subscriber) tend to handle these cases far more confidently than those who rely on generic frameworks alone.

Common TMT Case Types

TMT is not one case type. It is a sector overlay across several problem types. Each demands different frameworks and metrics. The most common mistake we see is candidates treating a telecom pricing case like a generic profitability case and missing the ARPU-churn tradeoff entirely.

Each type maps to a standard case interview framework but adds a TMT-specific lens. A telco pricing case is a profitability case with ARPU decomposition. A 5G rollout case is an investment case with infrastructure economics. A media M&A case follows the M&A framework but values content libraries and subscriber bases instead of factories and inventory.

TMT Metrics Worth Knowing

Interviewers may define some terms, but you will move faster if you already know the common metrics and rough benchmarks.

A 5% ARPU increase on 100M subscribers = $3B annual revenue lift. Every 0.1% churn reduction on a 100M subscriber base saves ~1.2M subscribers annually. These are the magnitudes interviewers expect you to estimate quickly.

Framework: TMT Case Analysis

Framework

TMT Case Interview Framework

1. 01

   Step 1: Identify the TMT Sub-Sector

   Tech (software, hardware, platforms), Media (streaming, advertising, content), or Telecom (wireless, broadband, infrastructure)? Each has different cost structures and competitive dynamics.

2. 02

   Step 2: Map the Revenue Model

   Subscription (ARPU × subscribers), advertising (impressions × CPM × fill rate), transactional, or hybrid? This determines which metrics drive the case.

3. 03

   Step 3: Quantify Unit Economics

   CAC, LTV, content cost/sub, capex/subscriber. TMT cases live and die on unit economics because marginal costs are often near zero.

4. 04

   Step 4: Assess Competitive Dynamics

   Network effects, switching costs, bundling power, content exclusivity. TMT moats are structural, not just brand-based.

5. 05

   Step 5: Model the Decision

   Build the financial case: NPV for investments, synergy value for M&A, revenue impact for pricing. Include a churn sensitivity when retention could change the answer.

Worked Example 1: Telco Pricing Optimization

Prompt: A US wireless carrier with 85 million postpaid subscribers and $47 average monthly ARPU is considering a $5/month price increase across all plans. Monthly churn is currently 0.9%. The CEO wants to know if this will increase annual revenue.

Step 1: Baseline revenue: 85M subscribers × $47 ARPU × 12 months = $47.94B annual revenue

Step 2: Revenue uplift from price increase (before churn impact): 85M × $5 × 12 = $5.10B gross uplift

Step 3: Estimate churn acceleration: Historical data shows a $5 increase raises monthly churn by 0.3-0.5pp. Midpoint: 0.9% → 1.3%.

• Old annual churn: 0.9% × 12 ≈ 10.2% → 8.67M churned
• New annual churn: 1.3% × 12 ≈ 14.6% → 12.41M churned
• Incremental churn: 3.74M additional lost subscribers

Step 4: Net revenue impact: Lost revenue from incremental churn: 3.74M × $52 (new ARPU) × 6 months average = $1.17B lost. Net Year 1: $5.10B - $1.17B = +$3.93B before re-acquisition costs ($350 CAC × 3.74M = $1.31B).

Step 5: Recommendation: Net positive in Year 1, but 3.74M churned subscribers erode the base long-term. Better approach: tiered increase at $5 on premium plans, $3 mid-tier, $0 entry. Captures 70-80% of uplift while concentrating churn in low-elasticity segments. A classic case math problem where sensitivity analysis matters more than the point estimate.

Worked Example 2: Streaming Platform M&A

Prompt: A global media conglomerate (120M streaming subscribers, $14.99 average monthly price) is evaluating acquiring a mid-size streaming platform with 35M subscribers at $9.99/month. The target has an enterprise value of $28B. Should they proceed?

Step 1: Valuation sanity check: $28B ÷ 35M subscribers = $800 per subscriber. For context, Netflix trades at roughly $900-1,100/sub, Disney+ at ~$500-700/sub. The $800/sub valuation is within range for a platform with a differentiated content library.

Step 2: Subscriber overlap: 40% of the target's subs also subscribe to the acquirer. Net new: 35M × 60% = 21M. Adjusted price per net new sub: $28B ÷ 21M = $1,333/sub, significantly more expensive.

Step 3: Synergy analysis: Content cost consolidation ($800M, eliminating 15% duplicate licensing), tech platform merger ($350M), ad cross-sell ($200M), subscriber price migration ($500M). Total: $1.85B/year.

Step 4: Return calculation: $1.85B ÷ $28B = 6.6% unlevered return. At 10% cost of capital, the deal fails on synergies alone. Proceed only if the content library has defensive strategic value. Negotiate to $22-24B for 8%+ return. Standard M&A framework applies: valuation, synergies, strategic rationale, integration risk.

Both worked examples turn on fast, clean math under pressure. Drill the ARPU, churn, and per-subscriber arithmetic until the setup is automatic.

Then apply the same pricing-and-elasticity logic on a full candidate-led case.

5G, Digital Ads, and Media M&A: Sub-Sector Spotlights

5G investment cases center on one tension: $120B+ annual industrywide capex versus uncertain revenue uplift (Source: PwC 2026). The 5G services market hit $209B in 2025 and is projected at $341B in 2026 (Source: Fortune Business Insights 2026). Consumer 5G delivers faster speeds but limited willingness to pay a premium. Enterprise 5G (private networks, IoT) offers $500-2,000/month per site, 50-100x consumer ARPU. When you get a 5G case, immediately segment consumer vs. enterprise. The economics are fundamentally different.

Digital advertising cases require this revenue formula: Ad Revenue = DAU × Sessions/User × Ads/Session × CPM ÷ 1,000. Digital ad spend surpassed $850B globally in 2025, with Google and Meta capturing over 50% of worldwide ad dollars and programmatic buying handling 92% of display ads (Source: eMarketer 2026). In a digital transformation case with an ad component, the central tension is ad load vs. user experience. Push too hard and engagement drops, reducing the inventory you are trying to monetize.

Media M&A cases remain common because streaming portfolios, content libraries, and distribution rights are still consolidating. For M&A cases in media, EV/subscriber can be a useful valuation lens alongside EBITDA, cash flow, and strategic control. Subscriber overlap is a major synergy risk. If overlap is high, net subscriber additions may not justify the premium.

How to Prepare for TMT Cases

1. Learn the 6 core metrics and practice calculating them under pressure with case math drills.
2. Read one earnings call from each sub-sector: AT&T (telecom), Netflix (streaming), Google (digital ads). Note which KPIs management emphasizes.
3. Practice TMT data interpretation: subscriber curves, ARPU trends, churn waterfalls. See the data interpretation guide.
4. Know the 2026 landscape: 5G monetization struggles, streaming consolidation (Warner-Paramount $170B+), AI-driven programmatic at 92% of display.
5. Pair TMT knowledge with core frameworks. A market entry framework still works for "should a telco enter streaming?"; add TMT metrics to each branch.
6. Review adjacent industry cases. The technology case interview guide covers platform economics and SaaS models that overlap heavily with TMT. The fintech case interview covers digital payments and embedded finance that increasingly sit inside telecom billing stacks. For content and ad tech decisions, the new product launch case interview gives a go-to-market structure. The pricing strategy case interview is relevant for ARPU expansion and subscriber pricing strategy in streaming and 5G enterprise segments.

Sources

1. Business Research Insights: TMT Market Size 2026 ($7.2T valuation), businessresearchinsights.com/market-reports/tech-media-and-telecom-tmt-market-121501 (checked June 17, 2026)
2. Fortune Business Insights: 5G Services Market ($341B in 2026), fortunebusinessinsights.com/5g-services-market-104910 (checked June 17, 2026)
3. PwC: The State of 5G and Capex Trends, pwc.com/gx/en/industries/tmt/telecommunications/the-state-of-5G-capturing-more-value.html (checked June 17, 2026)
4. eMarketer: Worldwide Ad Spending Forecast 2026, emarketer.com/content/worldwide-ad-spending-forecast-2026 (checked June 17, 2026)
5. Deloitte: TMT Predictions 2026, deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions.html (checked June 17, 2026)
6. PwC: Media & Telecom M&A 2026 Outlook, pwc.com/us/en/industries/tmt/library/telecom-media-deals-outlook.html (checked June 17, 2026)
7. McKinsey: TMT Practice Overview, mckinsey.com/industries/technology-media-and-telecommunications/how-we-help-clients (checked June 17, 2026)
8. BCG: B2C Pricing in TMT, bcg.com/capabilities/pricing-revenue-management/b2c-pricing (checked June 17, 2026)