Facebook advertising costs continue to rise. How to use screen numbers to reduce ineffective consumption and improve conversion efficiency

An obvious change in Facebook advertising in the past two years is that "the data does not look bad, but the money spent is getting heavier and heavier." Click-through rates, impressions, and even the number of leads are still there, but the proportion of customers who actually convert is declining. Many teams have realized that the problem does not entirely lie in the material, delivery strategy or audience setting, but in a further step - the quality of the data itself.

If the contact information entering the system is unavailable, inactive, or risky, then all subsequent actions will actually amplify waste. Instead of optimizing your ads over and over again, start by optimizing"People who enter the advertising link" are screened.

Why does advertising become more expensive the more you invest in it? The essence is“There are more invalid contacts”

When most teams review advertising, they will focus on the following indicators:

l Are CPM and CPC rising?

l Has the click-through rate of the material dropped?

l Does the form conversion rate fluctuate?

These indicators are indeed important, but they only reflect"Front-end traffic efficiency" cannot explain "whether these people are worth reaching."

The more common situation in reality is:

l People who leave their contact information cannot actually be contacted

l The contact information exists but has been inactive for a long time

l The account status is abnormal and the reach rate is very low.

These problems will not be directly reflected in the advertising backend, but will gradually amplify costs in the backend. Customer service time is wasted, sales conversions decline, and repurchase links are interrupted, which ultimately manifests as"Each valid customer is getting more expensive."

Three of the most overlooked budget waste scenarios

If you dismantle the entire link, you will find that budget waste is often concentrated on these types of data.

The first category is"Invalid number". It looks like a normal clue, but in fact it is an empty number, unactivated or unreachable. Once this kind of data enters the system, all subsequent actions will be meaningless consumption.

The second category is"Low active users". Even if the number is real but has not been used for a long time or is hardly online, the probability of reply from such users is extremely low, which lowers the overall conversion efficiency.

The third category is"High-risk accounts". Including abnormal number segments, marked accounts, and users who are prone to triggering risk control. This type of data not only has poor conversion, but may also affect the overall account environment.

Many teams discover these problems only after launch, by which time the budget has been consumed.

Why should the filter number be placed before delivery rather than after delivery?

A common misunderstanding is to regard the screen number as"Remedial measures", such as cleaning the data after the ad has finished running. But a more reasonable approach is to put the screen number in front.

The core value of pre-launch screening is:

l Reduce invalid data entering advertising links

l Improve subsequent reach success rate

l Focus your budget on people who are more likely to convert

The simple understanding is to putMake a judgment on "whether it's worth reaching" in advance, rather than waiting for the money to be spent and then reviewing it.

If you look at the difference in a more intuitive way:

Unscreened process

Advertising → Obtain clues → Then judge whether it is available → A lot of waste has occurred

Screen number pre-process

Data pre-screening → Only place available people → Make the conversion link smoother

Before launching on Facebook, prioritize which dimensions are more practical to screen

Not all filtering dimensions need to be done at once, the key is the order.

The first step is to determine basic availability first.

Including whether it actually exists and whether it has been activated. This is the lowest level of filtering, which can directly cut off a large amount of invalid data.

The second step is to screen the active status

For example, whether it has been used in recent days and whether it has been online. This step is mainly to increase the response rate.

The third step is to identify risk status

Filter out data that may affect access or account security to avoid subsequent chain problems.

The fourth step is to create segmentation labels

For example, device type, age group, and attribute tags. This step is more about improving conversions rather than reducing waste.

This order ensures that the budget is used first"People who can be contacted" is used again with "people who are more likely to close a deal".

How to integrate the screening action into the daily delivery process

Teams that can truly run smoothly in the long term will generally make the screening process a fixed process rather than a temporary action.

Common landing methods include:

l Before advertising is launched, pre-screen the original number pool

l Form or lead importBefore CRM, filter invalid data first

l Before secondary marketing, screen another round of active users

This can form a stable rhythm: in each round of contact, you will faceA "screened population" rather than random data.

Use tools to standardize this step instead of manual judgment

If the amount of data is not large, manual judgment can be barely maintained, but once it enters the batch delivery stage, manual screening is basically unfeasible.

The more practical approach at this time is to use tools to turn the screening number into a standard process. For teams that need to stably control costs, they can use Digital Planet to do a round of number screening before launching, first determine whether the numbers are available and have basic reach value, and then decide which data will enter advertising or private links. Digital Planet supports free trial screen number detection, which is suitable for use in the basic cleaning process before advertising is imported.

The key to advertising cost control is not just“Spend less”

Many people understand cost reduction as reducing the budget, but the core point is to reduce waste.

When the data itself is cleaner, several noticeable changes occur:

l Improved customer service contact success rate

l Sales communication is more efficient

l Conversion cycle shortened

l Under the same budget, the number of transactions increased

At this time, even if the advertising unit price does not drop significantly, the overall customer acquisition cost will naturally decrease.

Putting the filter number before launching is actually to put"Result-oriented" ahead of time. Instead of constantly optimizing your materials, make sure you are reaching a group of people who are truly worth communicating with.

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