{"id":58438,"date":"2026-05-21T17:21:34","date_gmt":"2026-05-21T14:21:34","guid":{"rendered":"https:\/\/affisemmp.com\/?post_type=glossary-term&p=58438"},"modified":"2026-06-03T11:17:08","modified_gmt":"2026-06-03T08:17:08","slug":"ad-click","status":"publish","type":"glossary-term","link":"https:\/\/affisemmp.com\/es\/glossary-term\/ad-click\/","title":{"rendered":"Ad Click"},"content":{"rendered":"

It starts with a tap.<\/strong><\/p>\n

A user scrolls through Instagram. They see an ad for a meditation app. They pause. They tap.<\/p>\n

In that fraction of a second, a chain reaction begins\u2014one that will determine whether your marketing budget was genius or garbage.<\/p>\n

That tiny tap is called an Ad Click<\/strong>.<\/p>\n

Why Ad Clicks Matter More Than You Think<\/h2>\n

Not all clicks are created equal. In fact, most clicks are worthless unless they lead to a conversion (install, purchase, or re-engagement).<\/p>\n

Here is what separates a good click from a bad click:<\/p>\n\n\n\n\n\n\n\n
Good Click<\/td>\nBad Click<\/td>\n<\/tr>\n
Comes from a real, engaged user<\/td>\nComes from a bot, click farm, or accidental tap<\/td>\n<\/tr>\n
Happens before<\/em> the install<\/td>\nHappens after<\/em> the install (click injection fraud)<\/td>\n<\/tr>\n
Carries accurate timestamp, IP, and user agent<\/td>\nStripped of metadata or artificially delayed<\/td>\n<\/tr>\n
Leads to a conversion within the attribution window<\/td>\nNever converts\u2014wasted spend<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The hard truth:<\/strong> If you pay for every ad click, you will go bankrupt. You need to pay only for clicks that attributably<\/em> lead to revenue.<\/p>\n

The Affise Approach: Making Every Click Count<\/h2>\n

At Affise MMP, we treat the ad click as sacred data. Every click that enters our system is:<\/p>\n

    \n
  1. \n

    Stamped<\/strong> with a precise timestamp (millisecond-level).<\/p>\n<\/li>\n

  2. \n

    Fingerprinted<\/strong> (IP, device model, OS version, screen resolution) for probabilistic matching.<\/p>\n<\/li>\n

  3. \n

    Screened<\/strong> against known fraud patterns (click flooding, click injection, datacenter traffic).<\/p>\n<\/li>\n

  4. \n

    Matched<\/strong> to subsequent installs via deterministic (IDFA\/GAID) or probabilistic logic.<\/p>\n<\/li>\n<\/ol>\n

    Only then does a click become an attributed click<\/strong>\u2014one that actually drove a user action.<\/p>\n

    The Vocabulary You Need<\/h2>\n
      \n
    • \n

      Click-Through Attribution:<\/strong> The user clicks an ad, then installs. The standard model.<\/p>\n<\/li>\n

    • \n

      View-Through Attribution:<\/strong> The user sees but does NOT click an ad, then installs later. (Yes, that counts too.)<\/p>\n<\/li>\n

    • \n

      Click-to-Install Time (CTIT):<\/strong> The time between the ad click and the install. Shorter usually means higher-quality traffic.<\/p>\n<\/li>\n

    • \n

      Click Fraud:<\/strong> Any invalid click generated with malicious intent (bots, competitors, fake publishers).<\/p>\n<\/li>\n<\/ul>\n

      A Word for Affiliate Marketers<\/h2>\n

      If you run affiliate campaigns, your partners live and die by ad clicks. Every click is a potential commission.<\/p>\n

      But without proper attribution, you face a nightmare scenario:<\/p>\n

        \n
      • \n

        An affiliate runs bot clicks \u2192 You pay for installs that never come.<\/p>\n<\/li>\n

      • \n

        A user clicks Affiliate A, sleeps on it, then clicks Affiliate B and installs \u2192 Affiliate A gets robbed.<\/p>\n<\/li>\n<\/ul>\n

        The solution:<\/strong> Multi-touch attribution (MTA) inside Affise MMP. Give credit to all touches, not just the last click. Your affiliates will thank you. Your ROI will thank you.<\/p>\n","protected":false},"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false},"acf":[],"yoast_head":"\nAd Click — Affise<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/affisemmp.com\/es\/glossary-term\/ad-click\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ad Click — Affise\" \/>\n<meta property=\"og:description\" content=\"It starts with a tap. A user scrolls through Instagram. They see an ad for a meditation app. They pause. They tap. 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