Your Emotional Context Assistant
WHAT WE DO
talkAItive's Net Sentiment Score empowers companies to easily analyze and summarize the sentiment expressed on social media (Twitter, FB, Instagram, Reddit, Tiktok, LinkedIn and others) and directly engage with relevant users.
WHY PARTNER WITH US
talkAItive's patented, unique capabilities empowers our clients to identify active users, determine what they really think about a brand, product, event or personality, and enables custom, targeted messaging to users to accentuate the positives and mitigate the negatives with triggered real-time engagement.
This has the benefits of helping to identify low sentiment that agencies can address with campaigns and help substantiate post campaign ROI.
HOW DOES IT WORK
Step 1: Collect Data
Continuously tracks and gathers data from postings on social media related to individuals, brands, organisations or custom search terms.
Step 2: Analyze Data
Use natural language processing and machine learning algorithms to identify contextual trends such as escalation in volume and sentiment about a subject. Examples include brand/product launches, marketing campaigns, unexpected viral trends related to brands or influencers.
Step 3: Take Action
talkAItive enables direct engagement of sentimentally active users on social media with promotional offers. This can also be effective to identify influencers, build your social following and poll real users on behalf of brands. Alternatively, an exported list of users can be provided.
Step 4: Measure Impact
Clients can conduct comparative before and after analyses to assess changes in sentiment and visualize the impact of actions taken.
Step 5: Refine And Repeat
Clients typically subscribe to an ongoing service from talkAItive to continually monitor for specific sentiments, and refine their actions to determine the most effective method for their use case.
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Min project size
$1,000+
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Hourly rate
$150 - $199 / hr
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Employees
10 - 49
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Locations
Toronto, Canada
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Year founded
Founded 2017
1 Locations
- Toronto , Canada
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