Chester Scott
speaker
356 appearances
4 recordings
1 series
first heard Aug 2026
last heard 16 Aug
Chester Scott’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 4 in all, peaking in Aug 2026 with 4.
Appearances
You know, it's now using model data.
I think that measurement on for the largest part is still relatively unsolved.
The industry from my perspective has maybe been a little bit complacent
in accepting um you know a fundamentally flawed approach in last click attribution as an example in multi touch multi-touch attribution.
And that might be because, you know, those big platforms that maybe don't have always our best interests at heart of you know, they've largely been the big innovators in this space.
And so I think that that is is definitely a big challenge.
And so the great thing now though is that I think that advertisers are now starting to ask those questions because of what's happening in the macro.
And now we really are starting to see some s really strong innovation from a bunch of different uh, you know, vendors in the market, as well as from the big platforms, on how do we innovate from a measurement perspective.
And I think
You know, for me the gold standard is trying to understand what is the causal proof.
How can we develop a scalable system that that leverages causal proof?
The large challenge with that at the minute is is that causal proof, and that could be in the form of market mix modeling as an example, is largely a long-term directional indicator.
But we know that on the daily, you know, as when you're activating, you need something that can give you um insight into how to optimize on a daily basis.
And so that's the real challenge now is how do we find a system that uses causal proof that's able to balance the long and the short term?
And I think that's largely where the where the challenge comes.
And so when it comes back to your kind of original question of is you know, where is the data problem?
I think that it is massive increase in diversification of channel.
How do they all play nicely together?
It's the volume of data.
How do we separate signal from noise?
Showing 121–140 of 356 · page 7 of 18
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