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Sharp takes on airline revenue. No filler.
Latest Episode
Airlines Invented Revenue Management. Retail Perfected the Playbook.
Airlines wrote the rulebook on dynamic pricing decades before retail caught on. So why does retail now do it better? This episode dissects the gap — and what revenue managers can take back from it. Entirely AI-generated. Entirely grounded in what revenue managers face every day.
Listen on LinkedInWhat this Episode Covers
01
Why airline RM stopped evolving while retail leapt ahead
Dynamic Pricing
02
What retail's real-time stack does that airline PSS can't
Tech Gap
03
The pricing signals airlines are still leaving on the table
Signals
04
Three moves revenue managers can steal back from retail today
Playbook
AI·Gen
Entirely AI-generated.
Entirely grounded in what revenue managers face every day.
Entirely grounded in what revenue managers face every day.
All Episodes
Every conversation, on demand.
EP
14
Airlines Invented Revenue Management. Retail Perfected the Playbook.
Airlines pioneered dynamic pricing decades before Amazon and Uber made it mainstream. So why does retail execute it better today? This episode dissects the divergence — and what the RM playbook is still missing from retail's evolution.
~22 min
EP
13
How AI Writes Your Morning Brief Before You've Had Coffee
The AI Digest isn't a summary — it's a decision-support tool built from 4,000+ signals processed overnight. This episode breaks down what happens between midnight and 6am, and why the RM who reads it first moves fastest.
~19 min
EP
12
Capacity Intelligence: The Missing Link in Modern Revenue Management
Tracking fares without tracking capacity is like watching the scoreboard without knowing how many players each team has on the field. This episode makes the case for why capacity signals belong in every RM's morning briefing.
~21 min
EP
11
Why Your Competitors' Moves Matter More Than You Think
Most RMs track competitors to react. The best ones track competitors to anticipate. This episode examines the difference between reactive competitive monitoring and proactive intelligence — and the revenue gap between the two.
~18 min
EP
10
The Morning 90 Minutes: Where Revenue Management Time Actually Goes
We timed it. The average RM spends 3–5 hours daily on data gathering before a single pricing decision is made. This episode maps where the time goes, who's most affected, and what the first 90 minutes should actually look like.
~17 min
EP
9
Rate Sufficiency: The Metric Nobody Talks About Until It's Too Late
A 70% sufficient data feed means 30% of your pricing decisions are based on gaps. This episode explains why sufficiency is the most important number most RM teams have never measured — and what 98%+ actually changes.
~20 min
EP
8
The OTA Isn't Your Enemy. Your Parity Gap Is.
Airlines have a complicated relationship with OTAs. This episode reframes it: the problem isn't distribution — it's the 3% fare gap that shifts 30% of your direct bookings without you noticing for 48 hours. Here's how to close it.
~23 min
EP
7
From Batch to Live: Why Real-Time Intelligence Changes Everything
Daily batch data is a photograph of a market that never stops moving. Real-time intelligence is a live feed. This episode makes the case for why that difference is not a feature upgrade — it's a fundamental change in what revenue management can be.
~19 min
EP
6
Your RMS Is Only as Good as the Data Feeding It
Revenue management systems don't fail because of bad algorithms. They fail because of bad inputs. This episode examines the data quality problem most airlines have learned to tolerate — and what happens when you stop tolerating it.
~21 min
EP
5
Low-Cost vs. Full-Service: Two Airlines, One Pricing Problem
The pricing pressures are different. The competitive landscape is different. But the intelligence problem is identical: both carrier types are working with information that's hours or days behind the market they're trying to lead.
~25 min
EP
4
The Demand Signal That Arrived Two Days Late
A demand surge on your best route happened on Monday. Your RMS surfaced it on Wednesday. Your competitor repriced on Tuesday. This episode traces how that gap opens, compounds, and closes — and what real-time demand monitoring changes about it.
~18 min
EP
3
Parity Is a Pricing Problem. Most Airlines Treat It Like an IT Problem.
Parity gaps get escalated to tech teams, tracked in spreadsheets, and fixed reactively. This episode argues that the real fix is treating parity as a revenue intelligence discipline — not a systems issue — and what that shift looks like in practice.
~20 min
EP
2
Monitoring 300 Competitors: What Actually Matters and What's Just Noise
When everything is worth watching, nothing gets watched properly. This episode builds a framework for competitive prioritisation — which carriers, which routes, which signals — so your team's attention lands where the revenue impact is greatest.
~22 min
EP
1
The 48-Hour Blind Spot: Why Revenue Managers Are Always Reacting
The first episode sets the stage: why the average airline RM detects a significant competitor fare move 48 hours after it happens, what that costs in real terms, and why the industry has accepted this as normal when it doesn't have to be.
~16 min
Powered by AI
No host.
No guests.
No filler.
The AirGain Podcast is entirely AI-generated — from research to script to audio. That's not a limitation. It's why every episode is dense, precise, and free of the rambling that fills most industry podcasts.
Research-first, always
Every episode is built on AirGain's proprietary data — real fare movements, real airline benchmarks, real RM workflows. Not opinions. Evidence.
No fluff, no small talk
A typical industry podcast spends 8 minutes on introductions. AirGain episodes are in the argument by minute one. If it doesn't serve a revenue manager, it doesn't make the episode.
Always current
New episodes reflect what's happening in airline pricing right now — not trends from six months ago packaged as insight. The AI means we move as fast as the market does.
Episode Generation · Ep. 15 in progress
Processing
Step 1 · Data ingestion
Pulling 14 days of fare movements, 3 demand signal reports, and 6 airline case study inputs from AirGain's intelligence layer.
Step 2 · Argument structure
Synthesising the core tension: why airlines adopted dynamic pricing first but now lag in execution sophistication. Building the three-act structure.
Step 3 · Audio generation
Rendering episode audio. Estimated runtime: 21 minutes. Publishing to LinkedIn on Thursday.
What we cover
Every conversation an airline revenue manager needs to have.
Dynamic Pricing
Competitive Intelligence
Rate Parity
Revenue Management Strategy
Demand Signals
OTA Distribution
AI in Airline Pricing
Data Sufficiency
Route Profitability
RM Operations
Codeshare Pricing
GDS Strategy
New Route Launches
Fare Intelligence
LCC vs. FSC Dynamics
Meta Search Rankings
Capacity Intelligence
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