This is the basis for controlling the quality of lead…
This is the biggest challenge for advertisers when publishing ads for prospects. The focus of this algorithm is to attract as many of our potential customers as possible in the budget.
This is usually at the expense of quality. The algorithm doesn’t care about the quality of the prospect, but you do it. Although it’s easy to blame the meta, you can control it here.
trigger
The algorithm is driven to make you more actions. To help with the algorithm, there are two triggers that can affect the quality of the control lead:
1. Redefine action The algorithm is optimized to match what we want.
2. Influence who performs the action so that the algorithm can learn from it.
Let’s study it further…
Change the action
I shared an example of changing the action in the previous video. Instead of having to optimize for “clues” or “full registration” standard events, you can optimize an event that better aligns with quality leads (assuming you can get the necessary volume in seven days).
In my example, I marked the person who clicked the link in the email. Although this may not reflect the highest quality lead (that would be the purchase), the balance with quantity is important.
You can simply optimize for the person who opens the email, assuming you can tag people who do this in CRM. Then create a transformation event and send it to META via the API. This will help eliminate the lowest quality clues, i.e. those leads that cannot be reached.
Change who performs the action
Changing who performs actions is rarely related to positioning. Influence the people you attract with ad copies, ideas, and quotes. Create a form question that works for your ideal prospects. You can even use conditional logic to kick out the ineligible person.
Your goal is to reject low-quality leads and attract high-quality leads. Each result is a course that helps with algorithm learning. You want these results to be as consistent as possible with what you want.
