Zalo user hot and cold behavior detection method: identifying key indicators of highly interactive accounts

In private domain and localized marketing with the Vietnamese market as the core,Zalo is an inescapable communication platform. However, many teams will encounter a common problem in actual operations: the number of friends is growing, but the interaction has not increased simultaneously. The fundamental reason is that,no distinctionHot and cold behavioral status of Zalo users, resulting in a lot of energy being spent on low-interaction accounts.

1. What isZalo high interaction account?

Zalo's highly interactive accounts do not necessarily post messages every day, but they usually have stable usage behavior and clear interactive feedback. Such accounts often behave as follows:

lAbility to receive and view messages in a timely manner

lHave a reply, emoticon or read feedback in the chat

lParticipating in group or official account content

lThe account information is relatively complete and traces of use are obvious.

On the contrary, cold accounts show no feedback and no interaction for a long time. Even if the account actually exists, it is difficult to generate conversions.

2. Why is hot and cold behavior detection a must-do?

existIn Zalo's ecosystem, continuing to send messages to cold accounts can easily cause the following problems:

lMessage response rate continues to decrease

lOperating costs rise but returns are limited

lCustomer service or sales teams are overwhelmed with invalid conversations

lSubsequent data analysis is distorted, making it difficult to determine the true effect.

Therefore, completing hot and cold behavior detection before launching any marketing or customer communication is an important prerequisite for improving overall efficiency.

3. Identify key indicators of highly interactive accounts

judgeWhether a Zalo account is "hot" or not, you need to pay attention to the following core indicators, rather than a single behavior.

1. Recent interaction cycle

closeWhether there is message interaction within 7 days or 14 days is the most intuitive basis for judgment. Accounts that have recently had two-way communication are significantly better than users who have not responded for a long time.

2. Read and feedback behavior

Whether read is triggered, whether emoticons appear, and whether there is a short reply are all important signals to determine whether the user is truly online.

3. Participation in groups or channels

Accounts that participate in discussions and view content in groups or official accounts are usually more active and more likely to generate subsequent interactions.

4. Stability of use

Accounts that have maintained normal logins for a long time and have relatively complete information are more likely to be real users who continue to use them.

4. Practical issues in batch hot and cold behavior detection

When the size of accounts expands to tens of thousands, manual identification is almost impossible and is easily affected by subjective judgment. Some accounts are quiet on the surface, but there may still be hidden interactive behaviors, and it is easy to misjudge based on a single observation.

The Digital Planet platform uses a multi-dimensional behavior recognition model toZalo accounts conduct hot and cold behavior analysis, integrating interaction frequency, read behavior, usage cycle and other indicators to help operators quickly identify accounts with real interactive potential.

The platform supports batch detection, automatic hierarchical annotation, and can directly output a highly interactive account list for subsequent marketing or customer service use.

5. Operational ideas after hot and cold behavior detection

After completing the detection, the operation rhythm should be adjusted according to the account behavior status:

lFocus on following up on highly interactive accounts to improve conversion efficiency

lMedium interactive accounts are activated through content stimulation attempts

lIf the number is obviously cold, reduce the frequency of communication to avoid continuous consumption.

Through hot and cold behavior detection, you canZalo's operations have shifted from "casting a wide net" to "precise interaction", and resource allocation has become more reasonable.

If you need toZalo account can conduct batch hot and cold behavior detection throughDigital Planet PlatformComplete automatic identification and hierarchical management to help you quickly find highly interactive users who are truly worthy of communication.

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