Analysing Competitors' Year-End Campaign Results with Social Listening

⏱️ Reading time: 11 min · 📁 Category: Social Listening & Competitive Analytics

Analysing Competitors' Year-End Campaign Results with Social Listening

Year-end campaigns are not only sales-oriented for brands; they are also strategic in terms of digital reputation, customer satisfaction and competitive positioning.
December 2025 data shows that differences in campaign success depend on more than prices or discount percentages;
the volume of digital conversations generated by competitors and the quality of sentiment are decisive for campaign performance.

B10 Digital's Competitive Listening & Promo Intelligence methodology provides an advanced data model that analyzes competitors' success over real-time social signals during end-of-year campaign periods.

1. Why should end-of-year campaign success be measured by social listening?

User behavior changes very quickly during the end of the year promotion periods. When campaign success is measured only by looking at sales figures, the perception superiority of competition can be overlooked.

Social listening plays a critical role here because:

• Shows user perception in real time
• Measures competitors’ promotional impact
• Captures emotional reactions that influence purchase decisions
• Reveals the campaign's "power of conversation"

2. How to conduct a rival campaign analysis?

B10 Digital's campaign analytics model evaluates competitors over three key indicators:

A) Conversation Volume

• How much are people talking about the competing brand during the campaign?
• How frequently do conversations mention promo codes, discount percentages and product names?

B) Sentiment Distribution (Emotion Distribution)

• Positive – neutral – negative proportions
• Users' emotional response to the campaign

C) Promo Impact Score

• Measures the effect of discount and campaign messaging on purchase decisions
• How does the sentiment average change during the campaign?

The competitors' sentiment curve produces a positive acceleration if the campaign is successful, and a negative wave if it fails. 3. How Is Competitor Sentiment Derived?

Sentiment is derived by analysing emotions in conversations about competing brands as well as the main brand.

Data used to derive sentiment:

• X/Twitter content
• Instagram comments
• Facebook group discussions
• Forums and collaborative dictionary sites
• Complaint sites
• Campaign-oriented hashtag streams

Analytically measured elements:

• Share of positive discussion about the competing campaign
• Thematic sentiment clusters such as “good price”, “stock problem” and “fast delivery”
• At what moments does negative discourse peak

This analysis allows the brand to strategically reshape its own position.

4. How to Measure the Promo Effect (Promotional Impact)

In year-end campaigns, consumer behavior is triggered by three factors:

• Price perception
• Trust in delivery
• Instant change in brand reputation

The promo effect is calculated via social listening data as follows:

Promo Impact Indicator:

• Sentiment before the campaign -> Sentiment during the campaign
• Correlation between discount percentage and conversation volume
• The speed of sharing of promo codes on social media

5. Most Common Risks in Competitors' Year End Campaigns A) Stock and Out-of-Stock Problems

A competitor’s out-of-stock products may drive users to your brand.

B) Delivery Delays

A high volume of negative complaints about a competitor can create an opportunity.

C) Poor Campaign Experience

• Users' claims of "deceptive discount"
• Disappointments about product quality

D) Complex Campaign Conditions

Negative sentiment rises rapidly.

6. Taking Advantage with Social Listening in Year End Competition

B10 Digital’s Competitive Listening Framework tracks competing campaigns in real time and helps brands optimise their own campaign strategies.

Advantages to the brand:

• Quickly creating opportunities where competitors are weak
• Correct positioning of campaign rhetoric
• Measuring customers’ emotional responses
• Real-time price and campaign comparison

7. The Proposed Year-End Campaign Analysis Model for Brands

• Create a competitor-based sentiment score
• Track campaign conversation volume weekly
• Develop alternative communication when negative sentiment peaks
• Regularly analyze promo code streams
• Apply tactics that increase visibility when the opponent makes a mistake

The strongest advantage during the end of the year is: to identify the points where competitors are weak in real time and to be able to move quickly into action.

Competitive Analytics & Campaign Performance