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OBJECTIVE:

listening247 creates frequent insight reports for a cycling brand to:

1. Evaluate their customer's cycling experiences provided by their products relative to competitor data.
2. Provide data insights on how the brand can strengthen its relationship with the cycling community through its products and marketing strategies.

RESULTS:

Using its proprietary Gen AI model, l247

1. Analysed 14,000+ posts/comments across 6 competitor brands and found:

• The brand has 71% positive consumer sentiment with 8% SOV;
• 22% rise in post volume vs. June due to organic exposure;
• 5 point increase in Net Sentiment Score month over month. 

2. Identified conversational themes to drive social content:

• Cyclists take pride in wearing the same cycling gear as friends;
• Creating a shared sense of pride and community on every ride;
• Cyclists seek protective gear to handle tough weather and enhance their overall cycling experience.

RECOMMENED ADS:

Based on identified conversations, L247 used its proprietary Gen AI model to create copy an imagery for ads: 

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VALUE:

1. Frequent analysis enables the company to benchmark competitors and track social presence across social platforms.
2. Data-backed tailored insights and marketing recommendations enable agile decision making for current/future campaigns.