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The booking worked. The decision-making didn’t.

Two EgyptAir business-class flights to Kenya were booked a few weeks apart using completely different funding strategies. One still looks excellent. The other still bothers me, because it was made before I’d identified the right pricing anchor.

EgyptAir’s Boeing 787 business cabin. The flights themselves weren’t the interesting part. The decisions behind securing them were.

I haven’t rewritten that mistake out of the story.

It’s the part that best illustrates how good travel decisions are actually made: under incomplete information, with better frameworks only becoming obvious later.

The setup

Two business-class seats were needed between London and Nairobi on fixed dates. Cash prices exceeded $8,400 return for two people, while LifeMiles offered award space at 110,000 miles each way, plus surcharges.

Starting with almost no LifeMiles, every mile used for these bookings had to be acquired specifically for this trip. The return was booked first.

The outbound came later, after the framework had changed.

Locking in the return

The return flight was the most expensive for cash, and award inventory was limited. The outbound had slightly more flexibility. That created real pressure to lock the return first.

At that moment, the decision framework was straightforward: Capital One points versus the cash price of the ticket.

A 15% Capital One → LifeMiles transfer bonus was live in early August 2025. That allowed:

  • 95,660 Capital One points → ~110,000 LifeMiles

  • Cash paid: $165.96

  • Equivalent cash fare: ~$4,566

On that basis alone, the redemption cleared comfortably above 4.5¢ per point. That felt decisive. And it was reasonable. So the return was booked immediately, funded entirely via Capital One points.

Judged in isolation, this is an excellent redemption.

Buying the outbound miles

A straightforward transit through Cairo. By this point, the booking decisions had already done the hard work.

The outbound was more involved.

Award pricing was attractive, but starting from zero meant the full 110,000 LifeMiles had to be sourced. There was no live transfer bonus from Amex or Citi, and most of the Capital One balance had already been used. Attention turned to buying miles.

A LifeMiles buy-miles promotion was running from 25 July to 14 August 2025, offering up to a 160% bonus.

Two purchase paths existed:

  • Buy exactly what was needed at a lower bonus tier, or

  • Step up to the 51,000 base-mile tier, unlock the 160% bonus, and accept a residual balance

The question became simple: how much additional cash would unlock the higher bonus, and how many additional miles would it create?

Stepping up produced:

  • 51,000 base miles

  • 160% bonus

  • 132,600 LifeMiles total

  • Cash cost: $1,683

  • Amex MR earned: 8,415 (LifeMiles purchases code as airfare)

Treating the Membership Rewards earned from the purchase as being worth at least a 1:1 conversion into LifeMiles (even though I would never actually make that transfer) reduces the effective acquisition cost to ~ 1.19¢ per mile.

Once that anchor was established, the rest of the outbound decision became straightforward.

Why Amex and Citi transfers were ruled out

With LifeMiles available at ~1.19¢, any 1:1 transfer from Amex or Citi stopped being a redemption decision and became a sale decision.

The real question was:

Am I willing to sell Amex Membership Rewards or Citi ThankYou points for 1.19¢ each?

I’m not.

There are ways to cash out transferable currencies around 1¢ per point, or marginally higher in specific cases. I’ve never been tempted by those options. I value transferable currencies higher than that, both intrinsically and for the optional upside they retain.

In reality, I would be more likely to be a buyer than a seller of Amex or Citi points at 1.19¢.

So locking them into LifeMiles at that price would not have made sense, regardless of how attractive the flight redemption looked. Amex and Citi transfers were ruled out entirely.

Booking the outbound

With the purchase framework in place:

  • 110,000 LifeMiles were used for the outbound

  • $776.16 in surcharges were paid

Using the 1.19¢ acquisition price established above, the mileage component effectively cost ~ $1,309.

Add the surcharges, and the implied all-in cost of the outbound business-class flight was approximately $2,085, versus a $3,872 cash fare.

A clear win.

More importantly, it established a pricing anchor that changed how I evaluated every subsequent decision in the booking.

The mistake (and why it stays in)

Here’s the part that doesn’t get cleaned up.

The Capital One transfer happened before the LifeMiles purchase opportunity was identified and fully anchored.

At the time of the transfer, Capital One points were being compared directly to the cash ticket price. With a 4.5¢+ redemption value, that felt unquestionably correct. The assumption was fair, but the analysis was incomplete.

Once the purchase framework was established, the earlier Capital One transfer effectively valued those miles at about 1.37¢ each.

That reframes the earlier decision. The real question now becomes:

Am I willing to sell Capital One miles for ~1.37¢ each?

I’m not.

That isn’t a catastrophic outcome, but it’s not something I would have done with full information. That’s where the regret comes from.

The alternative that sequencing obscured

Had the LifeMiles purchase framework been fully internalised before the Capital One transfer, a cleaner alternative existed for the return leg:

Buy another ~110,000 LifeMiles outright at ~1.19¢ (roughly $1,300), add $165.96 in surcharges, and fly home for about $1,466 all-in instead of a ~$4,566 cash fare — while preserving the entire Capital One balance.

That option existed. It just wasn’t visible yet.

The destination never changed. Only the framework used to reach it did.

Final view

This wasn’t a “look how perfect this is” episode. It was a good outcome with a visible flaw.

What still worked:

  • Fixed-date business-class travel secured

  • Cash outlay materially reduced

  • Flexible currencies largely preserved

  • No individual decision that fails on its own merits

What didn’t:

  • The system wasn’t optimised end-to-end from the start

  • One decision was made before the best pricing anchor was fully identified

That’s why I’ve left the mistake in.

This wasn’t a story about executing a perfect redemption. It was about building a better decision framework as new information became available.

The flights were excellent. The process wasn’t. Showing both is far more useful than pretending the framework existed from the beginning.

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