Meta

    Here’s more on pricing (this is turning into an informal Pricing Week).

    Always place your price below the product, not above it.

    This approach made the same price feel 9% lower on dental floss and increased sales 35% in a liquor store, in the experimental study.

    One of the crucial metaphors ingrained in us as we grow up is:

    Down is less and up is more

    Metaphors are powerful because they’re essentially the cognitive interface between the brain and the world. Vehicles for experience.


    While TikTok tries to make its content and discovery engine an ecommerce platform, Amazon is plugging its ecommerce engine into all the other content and discovery (formerly social media) platforms.

    First, Pinterest. Now

    Meta lets Amazon shoppers buy products on Facebook and Instagram without leaving the apps


    Google mulled offering paid-for no-logging private Search subscription

    I think there are 2 reasons companies like Google and Meta won’t roll out paid ad-free versions:

    1. Once you’re a large, publically-traded, profit-generating machine, the genie ain’t going back in the bottle. I doubt the unit economics work out for a monthly subscription amount users are cool with replacing the potential ad revenue. Think about how much more money these companies make compared to Spotify or Netflix (the money only matters because stock markets).

    2. They don’t believe users will actually enjoy a non-personalized, data-powered experience more.


    More ads in the same places

    Meta is turning its monetization focus to WhatsApp, including lead gen ads that launch a WhatsApp chat.

    Maybe the Reels revenue machine can be refined, but Instagram and Big Blue have few growth avenues. Their ad revenue will grow as long as budgets do. Zuck+co’s messaging apps and Threads are where growth acceleration will happen.

    Elsewhere, Fire TVs are about to become ad machines. And you know it will mint the Bezos Boys a fortune. If they don’t ruin the user experience. I’m less confident in that last part these days when it comes to The Everything Company.


    Tell me more…

    I mostly agree with this but it’s a bit over the top (it is on X so guess that’s not a surprise).

    Machine learning algorithms have a training stage. A set of training data is used to “re-wire” a model to adapt the outputs. And can be done without overwriting prior states.

    This is (partially) why you should wait a week or two before deciding if your campaign is working.

    At Meta scale, more data is better. So that learning label is just saying you haven’t hit Meta scale. Your performance may not be optimally optimized but let your data tell you if it’s optimal enough.


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