Audiense

Define the geographical region in Audiense Insights.

Filter the audience by relevant category keywords.

Run a segmentation report to identify local cultural tribes.

Review 'Influencers & Brands' tab for each tribe.

Select top 5 influencers per tribe for localized outreach.

Upload a list of current customer X handles.

Generate a lookalike audience segment.

Analyze the segments' unique media affinities.

Export the segments directly to X Ads Manager.

Create tailored ad creative based on IBM Watson personality profiles.

Analyze the competitor's follower base in Audiense Connect.

Segment their audience to find their 'super-fans'.

Compare their audience segments' affinities with your own.

Identify content gaps that the competitor is filling.

Initiate automated follow/engage campaigns with those segments.

Input the negative crisis keywords into Audiense.

Segment the people using those keywords.

Determine if the negativity is coming from a specific political or social tribe.

Analyze the influencers driving the conversation within that tribe.

Formulate a targeted response strategy for that specific community.

Segment the brand's current followers into logical tribes.

Use the 'Content' tab to see what hashtags and URLs are trending within each tribe.

Cross-reference with IBM Watson traits (e.g., 'Openness to Change').

Develop different content pillars for each identified tribe.

A/B test performance per segment.

Identify the event's official hashtag and handle.

Run an Audiense report on all users who engaged with the event.

Check what percentage of those users overlap with the brand's target customer segments.

Analyze the 'Brand Affinity' of the event's audience.

Decide on future sponsorship based on segment alignment.

Filter the global X audience by job titles and industries.

Cluster the results to find professional associations and groups.

Filter for 'Bio' keywords like 'Director' or 'VP'.

Export the list to a CSV for LinkedIn sales navigator matching.

Set up monitoring for when these users tweet about specific pain points.