Measure the results of each KOL: connect to business objectives

This question often arises after a campaign ends: which KOL was truly effective? Did content from the community or from the point of sale contribute more? If you haven't prepared the tracking system in advance, the answer will only be a guess. The section below outlines how to set up to get accurate answers.

Attach personal traces for each individual from the start.

Fundamental principle: each KOL and each content source must have at least one independently traceable mark. The three most common tools are:

• Unique discount code: each KOL has a different code, easy to implement, suitable when the goal is to generate orders.
• UTM tag links: tracking parameters attached to links help differentiate traffic from each KOL or each community post.
• Dedicated landing page: each KOL leads to a different page, allowing tracking of behavior after clicking without relying on codes.

These three tools can be used independently or in combination. It is important to decide and establish them before the campaign begins. Once the content is published, adding traces is impossible.

Choose the measure based on goals, not convenience.

The most common mistake is using the same metric for all KOLs even though each person's goals are different. You need to clearly identify which stage each KOL is serving in the customer journey.

Do not stop at the value of viral communication and interaction rates. Connect social media data with commercial objectives: does the campaign make people think, feel, or act differently, and then look at sales and market share.

IPA, Influencer measurement made easier

Distinguish between correlation and causation

This is the hardest and most easily overlooked point. When a customer uses a discount code from KOL A to place an order, it does not prove that KOL A convinced them to buy. They may have intended to purchase beforehand, just looking for a code to get a discount.

Attribution indicates who has the code when an order is placed. Measuring the incrementality is necessary to truly answer the question: how many of those orders represent new demand that wouldn't exist without the campaign? With large campaigns running across multiple channels, econometric modeling is the way to separate the true contribution of each channel.

For medium-scale campaigns, you don't need to dive right into complex models. However, you should understand the limitations of discount codes to avoid misreading results.

Common errors when measuring KOLs

• Using views and likes as the primary measure, without connecting to any specific business goals.
• Using earned media value as a measure of success, while this figure does not reflect the actual impact on sales.
• No tracking from the beginning; by the end of the campaign, results from each KOL cannot be separated.
• Changing measurement methods midway or using different metrics for each KOL, rendering comparisons meaningless.
• Assign all orders with codes to KOLs without checking how many of them were already existing customers.

The viewpoint of Sinh Vũ

When designing assets for a KOL campaign, Sinh Vũ ensures that each individual has their own assets and identifiers: unique codes, individual links, and dedicated landing pages if necessary. The purpose is to clearly distinguish results by individual at the end of the campaign, rather than merging everything into a single total.

However, establishing measurement systems, running awareness surveys, or building attribution models is part of the data team or specialized measurement partners. Sinh Vũ does not commit to campaign metrics, and this is a practical perspective, not neutral consulting. You should work with an independent measurement unit if you want reliable results for making significant budget decisions.