First Touch vs Last Touch vs Linear: Podcast Attribution Models Explained

When a customer makes a purchase after hearing multiple podcast ads, which podcast gets the credit? This is the attribution problem — and how you answer it dramatically changes how you allocate your ad budget.

There are three main attribution models used in podcast advertising: first touch, last touch, and linear. Each tells a different story about your campaigns, and none of them is universally "correct."

First Touch Attribution

First touch gives 100% of the credit to the first podcast ad a listener heard before converting.

When it's useful: Understanding which podcasts are best at generating awareness and introducing your brand to new audiences. If you're in growth mode and want to know which podcasts bring in new customers, first touch is your friend.

The problem: It ignores everything that happened after the first touchpoint. A listener might have heard your ad on three different shows before buying. First touch pretends the last two didn't matter.

Best for: Brand awareness campaigns, new market entry, understanding top-of-funnel performance.

Last Touch Attribution

Last touch gives 100% of the credit to the final podcast ad a listener heard before converting.

When it's useful: Understanding which podcasts are best at closing customers — the ones that finally tip someone from "interested" to "buying." If you're optimising for conversions, this is the model most advertisers use by default.

The problem: It undersells podcasts that create awareness early in the journey. A show might be excellent at introducing your brand to new audiences, but if they rarely do the final conversion nudge, last touch will make it look ineffective.

Best for: Conversion optimisation, understanding bottom-of-funnel performance, comparing shows that run at similar stages of the funnel.

Linear Attribution

Linear attribution splits credit equally across all podcast touchpoints before a conversion.

Example: A listener heard ads on three shows (Show A, Show B, Show C) and then bought. Linear attribution gives each show 33.3% of the revenue credit.

When it's useful: Getting a balanced view of which shows contribute to the customer journey without over-weighting any single touchpoint. It's the most "fair" model if you genuinely don't know which touchpoint matters most.

The problem: Equal credit doesn't mean equal value. In reality, the first show that introduced your brand probably deserves more credit than a show they heard the day before buying just because it was convenient timing.

Best for: Multi-show campaigns where you want to understand the full funnel, not just one end of it.

Which Model Should You Use?

The honest answer: it depends on what question you're trying to answer.

| Question | Best Model | |---|---| | Which show brings in new customers? | First touch | | Which show closes the most sales? | Last touch | | Which shows contribute throughout the journey? | Linear | | What's the true ROI of each show? | All three, compared |

The power move is to look at all three models simultaneously. If a podcast shows strong ROI across first touch, last touch, and linear, it's almost certainly a high-value channel. If it only looks good on last touch, it might just be benefiting from work other shows did earlier.

The Attribution Window Also Matters

Attribution models interact with your attribution window. If your window is 7 days and a listener takes 10 days to convert, the show doesn't get credit regardless of which model you use.

For most SaaS products and e-commerce brands, a 14–30 day window captures the vast majority of podcast-driven conversions. You can verify this by looking at your conversion delay data — the distribution of how long your actual customers take to convert after a first click.

Practical Recommendations

1. Start with last touch — it's the most common, easiest to explain to stakeholders, and directionally useful
2. Check conversion delay before setting your window — don't guess at 7 days if your customers typically take 14
3. Compare first touch vs last touch quarterly to spot shows that create awareness but not direct conversions (these might still be worth keeping if CPM is low)
4. Never optimise purely on one model — use the combination to get the full picture

Attribution is ultimately about making better budget decisions. The goal isn't to find the "right" model — it's to understand your customer journey well enough to invest where it actually creates value.