
Sign up to save your podcasts
Or


Kevin Zanes has a background in data science and analytics that he now uses to scour award programs for the best points deals. So on today's show, we're talking math, data, and how these two things help you land the most amazing points deals.
Tune in this week to discover how data can get you the best value for your points. Kevin is using data and technology to dispel common myths of the award travel community, and he's revealing the math-backed truth about what he calls the single best points-earning credit card on the market. Whether you're new to award travel or a seasoned points traveler, this episode is packed with value and insights you won't find anywhere else.
Get full show notes and more information here: https://points.pointmetofirstclass.com/blog/analytic-approach-points-travel-kevin-zanes
Join the waitlist for Points Made Easy here: https://www.pointmetofirstclass.com/pointsmadeeasy
By Devon Gimbel MD4.9
11721,172 ratings
Kevin Zanes has a background in data science and analytics that he now uses to scour award programs for the best points deals. So on today's show, we're talking math, data, and how these two things help you land the most amazing points deals.
Tune in this week to discover how data can get you the best value for your points. Kevin is using data and technology to dispel common myths of the award travel community, and he's revealing the math-backed truth about what he calls the single best points-earning credit card on the market. Whether you're new to award travel or a seasoned points traveler, this episode is packed with value and insights you won't find anywhere else.
Get full show notes and more information here: https://points.pointmetofirstclass.com/blog/analytic-approach-points-travel-kevin-zanes
Join the waitlist for Points Made Easy here: https://www.pointmetofirstclass.com/pointsmadeeasy

5,155 Listeners

2,457 Listeners

381 Listeners

177 Listeners

649 Listeners

336 Listeners

408 Listeners

1,626 Listeners

1,020 Listeners

416 Listeners

463 Listeners

204 Listeners

123 Listeners

72 Listeners

171 Listeners