8 ms·

can you please name those platforms ???

• soared 10y ago
  I'm at an agency and have access to some closed betas, but I've been pretty impressed with StackAdapt for their native. They just added video and display I believe but I haven't used them. You do a little bit of manual targeting but their ml really does well.
  • fumar 10y ago
    When you say "does well," what type of goal or kpi are referring to?
    • soared 10y ago
      White paper downloads for elderly people. For some reason their interface underreports conversions though. But we've tied their traffic directly to purchases! One note though.. like some other channels you're buying a mixed bag. There is a lot of low quality traffic, but the diamonds in the rough do make up for it.
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• Tossrock 10y ago
  Quantcast does this - they train a model based on your converters and then find more people like them. It's quite effective. Disclosure: I worked there for some time.
  • wastedhours 10y ago
    Interesting, converters from a broad flood of advertising at the start, or do you implement conversion tracking before launching a campaign?
    • g10r 10y ago
      To properly optimize you'd need conversion tracking implemented - ideally before you run any paid media.
    • soared 10y ago
      Most places do "look-a-like" audiences. So you can upload a csv of data about your customers (name, email, phone, etc) and they will match those customers to profiles and build an audience based off of that. Facebook is obviously super good at that. Other times you don't upload anything and just place a pixel. Then as conversions come through the audience builds and gets better.