The\u00a0Sogolytics\u00a0CX Rankings: U.S. Airlines 2026, drawn from 1,014 travelers across the six largest U.S. carriers, tells a more useful story. Disruption is not only a cost to manage. It is the single moment where loyalty moves most, in either direction. Handle it well and travelers come back more committed than before. Handle it poorly and you hand the customer to a competitor.<\/p>\n
For any team measuring experience, that shifts where the real work sits. The trip that goes smoothly rarely decides anything. The trip that goes sideways decides\u00a0almost everything\u00a0that follows.<\/p>\n
Price Gets the First Booking. Experience Wins\u00a0Relationships.<\/h2>\n<\/div>\nHalf of travelers (50%) name ticket price as the most\u00a0important factor\u00a0when choosing an airline, twice the share of the next-highest driver. That single number anchors most pricing and acquisition decisions. The loyalty data points somewhere else entirely.<\/p>\n
<\/div>\nThe two cheapest carriers in the study land at opposite ends of every loyalty measure. Allegiant sits near the top with an NPS of +32 and 89% of travelers likely to fly again. Frontier ranks\u00a0last,\u00a0the only carrier with a negative NPS at -6 and 75% likely to return. Same low-fare promise, opposite outcomes. If fare drove loyalty, the two would move together.<\/p>\n
<\/div>\nThe report puts it plainly: price wins the booking, and experience wins the next one. Within that experience, one stage carries far more weight than the rest.<\/p>\n
<\/div>\n![\"Likelihood](\"https:\/\/www.sogolytics.com\/blog\/wp-content\/uploads\/Likelihood-to-recommend-by-airline-NPS.png\")
\nFigure 1, Sogolytics CX Rankings: U.S. Airlines 2026. Likelihood to recommend, by airline (NPS).<\/i><\/p>\n<\/div>\nDisruption\u00a0is\u00a0a\u00a0Third\u00a0of\u00a0the Journey,\u00a0not\u00a0an Edge Case<\/h2>\n<\/div>\nDisruptions are common enough that no CX strategy can treat them as rare.\u00a0Nearly a\u00a0third of travelers (32%) reported a delay of 30 minutes or more, a cancellation, or a missed connection on their most recent flight.<\/p>\n
<\/div>\nThe rate varies sharply by carrier. United’s disrupted share reached 43%, the highest in the study, followed by American at 40%. Allegiant saw the lowest at 19%. A traveler on a large legacy carrier was more than twice as likely to hit a disruption as one flying Allegiant.<\/p>\n
<\/div>\nThat spread matters because disruption is not a fixed cost\u00a0that spans\u00a0evenly across the market. It is a recurring test that a large share of customers will face at some point. The question is never whether it happens. It is what happens next.<\/p>\n
<\/div>\n![\"Share](\"https:\/\/www.sogolytics.com\/blog\/wp-content\/uploads\/Share-of-travelers-reporting-a-disruption.png\")
\nFigure 2, Sogolytics CX Rankings: U.S. Airlines 2026. Share of travelers reporting a disruption on their most recent flight.<\/i><\/p>\n<\/div>\nThe Moment\u00a0that Moves Loyalty Most<\/h2>\n<\/div>\nHere is the finding that should reshape where CX teams spend their attention. Among travelers who experienced a disruption, 38% said they were more likely to\u00a0fly\u00a0the airline again after it was handled well, against 20% who became less likely. That is a net loyalty gain of 18 points, earned in the middle of\u00a0the worst part of the trip.<\/p>\n
<\/div>\nThe carriers that recover well from\u00a0bad CX are the ones that pull away from the pack.\u00a0For instance, according to the report findings,\u00a0Delta and American convert disruption into loyalty most often, with 42% of their disrupted travelers coming away more likely to return. Frontier converts\u00a0least, at\u00a030%. The gap is not about who avoids disruption. It is about who turns it around once it lands.<\/p>\n
<\/div>\nSatisfaction with disruption handling follows the same line. Delta led at 68% of affected travelers satisfied with the response, with United, American, and Southwest clustered in the mid-60s. Frontier trailed at 42%, though its disrupted sample was small (n=27) and should be read with that limit in mind.<\/p>\n
<\/div>\nThe pattern holds across the full dataset. The airlines that recover well are the same ones that lead\u00a0on\u00a0overall satisfaction, NPS, and repeat business. Recovery is not\u00a0damage\u00a0control bolted onto the end of\u00a0a bad day. It is the highest-leverage customer experience moment an airline has.<\/p>\n
<\/div>\n![\"Loyalty](\"https:\/\/www.sogolytics.com\/blog\/wp-content\/uploads\/Loyalty-impact-of-disruption.png\")
\nFigure 3, Sogolytics CX Rankings: U.S. Airlines 2026. Loyalty impact of disruption handling, by airline.\u00a0<\/em><\/p>\n<\/div>\n\n\n\n\n![\"icon\"](\"\/blog\/wp-content\/uploads\/2025\/11\/newCta-eBook-icon-1.svg\")
<\/div>\nReport<\/div>\n<\/p><\/div>\nGet the full Sogolytics CX Rankings: U.S. Airlines 2026, with 21 CX dimensions scored across the entire travel journey. <\/div>\n<\/p><\/div>\nSee How All Six Major Airlines Rank<\/div>\nDownload the report<\/i><\/a><\/div>\n<\/p><\/div>\n![\"img\"](\"\/blog\/wp-content\/uploads\/2025\/10\/blog-insert-right-ebook-img.jpg\")
<\/div>\n<\/div>\n<\/div>\nWhy Most Teams Miss\u00a0it<\/h2>\n<\/div>\nGiven how much recovery is worth, it is striking that most CX investment still lands elsewhere, and part of the reason comes down to measurement. Most programs track a single overall satisfaction score alongside a headline NPS, and while both metrics are useful, both also flatten the journey into a number that hides the exact moment where loyalty is decided.<\/p>\n
<\/div>\nA composite satisfaction figure averages those two very different experiences into a single number that points nowhere useful, since it cannot tell a team whether they are losing travelers at the gate or in the seat, and it reveals nothing about how they perform in the recovery moments that carry the most weight. To act on any of it, you\u00a0have to\u00a0measure the journey in its parts rather than as one lump sum.<\/p>\n
<\/div>\nThis mirrors the treatment on the\u00a0previous\u00a0section: longer connected sentences, the short declarative lines folded in, and the emphasis landing at the end of each paragraph.<\/p>\n
<\/div>\nIllustrative Scenario: A Mid-sized Regional Carrier<\/h2>\n<\/div>\nPicture a regional carrier with a healthy composite satisfaction score, say 85%, and a leadership team confident the experience is in\u00a0good shape. Underneath that headline, booking and boarding rate well, while\u00a0disruption\u00a0handling sits far lower. Because the top-line number looks fine, no one flags the gap, and\u00a0churn\u00a0among disrupted travelers\u00a0keep\u00a0climbing without an obvious cause.<\/p>\n
<\/div>\nBreak the score into stages and the picture changes. The same team can now see that a small slice of trips, the disrupted ones, is doing most of the damage to loyalty. That is a fixable problem with a clear owner: faster rebooking, clearer communication, and better options\u00a0at the moment\u00a0of failure. The composite score alone never would have surfaced it.<\/p>\n
<\/div>\nFrom Blind Spot\u00a0to\u00a0Advantage<\/h2>\n<\/div>\nThe carriers already treating recovery as a measurable, ownable moment are pulling ahead on exactly the metrics that predict repeat business. That is the competitive line forming in the data, and it widens with every quarter a team leaves the recovery moment unmeasured.<\/p>\n
<\/div>\nThis is where a diagnostic approach earns its place.\u00a0Experience Navigator<\/a>\u00a0is\u00a0built to map satisfaction across each stage of the journey rather than collapsing it into one figure, so teams can see where loyalty is won and lost across pre-trip, in-airport, in-flight, and recovery. It does not fix the experience on its own. It shows precisely where the experience is breaking and how much that break is costing, which is the starting point for any team serious about turning disruption into loyalty.<\/p>\n
Half of travelers (50%) name ticket price as the most\u00a0important factor\u00a0when choosing an airline, twice the share of the next-highest driver. That single number anchors most pricing and acquisition decisions. The loyalty data points somewhere else entirely.<\/p>\n
The two cheapest carriers in the study land at opposite ends of every loyalty measure. Allegiant sits near the top with an NPS of +32 and 89% of travelers likely to fly again. Frontier ranks\u00a0last,\u00a0the only carrier with a negative NPS at -6 and 75% likely to return. Same low-fare promise, opposite outcomes. If fare drove loyalty, the two would move together.<\/p>\n
The report puts it plainly: price wins the booking, and experience wins the next one. Within that experience, one stage carries far more weight than the rest.<\/p>\n
Disruptions are common enough that no CX strategy can treat them as rare.\u00a0Nearly a\u00a0third of travelers (32%) reported a delay of 30 minutes or more, a cancellation, or a missed connection on their most recent flight.<\/p>\n The rate varies sharply by carrier. United’s disrupted share reached 43%, the highest in the study, followed by American at 40%. Allegiant saw the lowest at 19%. A traveler on a large legacy carrier was more than twice as likely to hit a disruption as one flying Allegiant.<\/p>\n That spread matters because disruption is not a fixed cost\u00a0that spans\u00a0evenly across the market. It is a recurring test that a large share of customers will face at some point. The question is never whether it happens. It is what happens next.<\/p>\n Here is the finding that should reshape where CX teams spend their attention. Among travelers who experienced a disruption, 38% said they were more likely to\u00a0fly\u00a0the airline again after it was handled well, against 20% who became less likely. That is a net loyalty gain of 18 points, earned in the middle of\u00a0the worst part of the trip.<\/p>\n The carriers that recover well from\u00a0bad CX are the ones that pull away from the pack.\u00a0For instance, according to the report findings,\u00a0Delta and American convert disruption into loyalty most often, with 42% of their disrupted travelers coming away more likely to return. Frontier converts\u00a0least, at\u00a030%. The gap is not about who avoids disruption. It is about who turns it around once it lands.<\/p>\n Satisfaction with disruption handling follows the same line. Delta led at 68% of affected travelers satisfied with the response, with United, American, and Southwest clustered in the mid-60s. Frontier trailed at 42%, though its disrupted sample was small (n=27) and should be read with that limit in mind.<\/p>\n The pattern holds across the full dataset. The airlines that recover well are the same ones that lead\u00a0on\u00a0overall satisfaction, NPS, and repeat business. Recovery is not\u00a0damage\u00a0control bolted onto the end of\u00a0a bad day. It is the highest-leverage customer experience moment an airline has.<\/p>\n Given how much recovery is worth, it is striking that most CX investment still lands elsewhere, and part of the reason comes down to measurement. Most programs track a single overall satisfaction score alongside a headline NPS, and while both metrics are useful, both also flatten the journey into a number that hides the exact moment where loyalty is decided.<\/p>\n A composite satisfaction figure averages those two very different experiences into a single number that points nowhere useful, since it cannot tell a team whether they are losing travelers at the gate or in the seat, and it reveals nothing about how they perform in the recovery moments that carry the most weight. To act on any of it, you\u00a0have to\u00a0measure the journey in its parts rather than as one lump sum.<\/p>\n This mirrors the treatment on the\u00a0previous\u00a0section: longer connected sentences, the short declarative lines folded in, and the emphasis landing at the end of each paragraph.<\/p>\n Picture a regional carrier with a healthy composite satisfaction score, say 85%, and a leadership team confident the experience is in\u00a0good shape. Underneath that headline, booking and boarding rate well, while\u00a0disruption\u00a0handling sits far lower. Because the top-line number looks fine, no one flags the gap, and\u00a0churn\u00a0among disrupted travelers\u00a0keep\u00a0climbing without an obvious cause.<\/p>\n Break the score into stages and the picture changes. The same team can now see that a small slice of trips, the disrupted ones, is doing most of the damage to loyalty. That is a fixable problem with a clear owner: faster rebooking, clearer communication, and better options\u00a0at the moment\u00a0of failure. The composite score alone never would have surfaced it.<\/p>\n The carriers already treating recovery as a measurable, ownable moment are pulling ahead on exactly the metrics that predict repeat business. That is the competitive line forming in the data, and it widens with every quarter a team leaves the recovery moment unmeasured.<\/p>\n This is where a diagnostic approach earns its place.\u00a0Experience Navigator<\/a>\u00a0is\u00a0built to map satisfaction across each stage of the journey rather than collapsing it into one figure, so teams can see where loyalty is won and lost across pre-trip, in-airport, in-flight, and recovery. It does not fix the experience on its own. It shows precisely where the experience is breaking and how much that break is costing, which is the starting point for any team serious about turning disruption into loyalty.<\/p>\n
\nFigure 1, Sogolytics CX Rankings: U.S. Airlines 2026. Likelihood to recommend, by airline (NPS).<\/i><\/p>\nDisruption\u00a0is\u00a0a\u00a0Third\u00a0of\u00a0the Journey,\u00a0not\u00a0an Edge Case<\/h2>\n
\nFigure 2, Sogolytics CX Rankings: U.S. Airlines 2026. Share of travelers reporting a disruption on their most recent flight.<\/i><\/p>\nThe Moment\u00a0that Moves Loyalty Most<\/h2>\n
\nFigure 3, Sogolytics CX Rankings: U.S. Airlines 2026. Loyalty impact of disruption handling, by airline.\u00a0<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\nWhy Most Teams Miss\u00a0it<\/h2>\n
Illustrative Scenario: A Mid-sized Regional Carrier<\/h2>\n
From Blind Spot\u00a0to\u00a0Advantage<\/h2>\n