Inpact is an open-source AI-powered platform designed to connect content creators, brands, and agencies through data-driven insights. By leveraging Generative AI (GenAI), audience analytics, and engagement metrics, Inpact ensures highly relevant sponsorship opportunities for creators while maximizing ROI for brands investing in influencer marketing
git clone https://github.com/AOSSIE-Org/InPactAI.gitInpact is an open-source AI-powered platform designed to connect content creators, brands, and agencies through data-driven insights. By leveraging Generative AI (GenAI), audience analytics, and engagement metrics, Inpact ensures highly relevant sponsorship opportunities for creators while maximizing ROI for brands investing in influencer marketing
[{"step":"Define your campaign parameters in InPactAI. Navigate to the 'Influencer Discovery' tool and input your [INDUSTRY/NICHE], [DEMOGRAPHIC], and [BRAND_VALUES]. Set filters for follower count (e.g., 10K-100K) and engagement rate thresholds to narrow your search.","tip":"Use InPactAI’s 'Audience Insights' feature to validate your demographic targeting. Cross-reference predicted engagement rates with historical data to avoid overestimating performance."},{"step":"Run the predictive analysis. Click 'Generate Insights' to let InPactAI’s GenAI model score influencers based on predicted engagement, cost efficiency, and brand alignment. Export the top 10-15 influencers for further review.","tip":"Sort results by 'Predicted ROI' to prioritize creators who deliver the highest return. InPactAI’s model factors in past campaign performance, so lean on this metric for accuracy."},{"step":"Refine your shortlist. For each influencer, review their 'Content Alignment Score' (provided by InPactAI) and past sponsored posts. Use the tool’s 'Content Angle Suggestions' to brainstorm campaign ideas that resonate with their audience.","tip":"Look for influencers with a 'Content Alignment Score' above 80% to ensure brand safety and authenticity. Avoid creators whose past sponsored posts feel overly promotional."},{"step":"Finalize your outreach. Use InPactAI’s 'Collaboration Templates' to draft personalized pitches for the top 3 influencers. Include their predicted metrics and suggested content angles to streamline negotiations.","tip":"Leverage InPactAI’s 'Negotiation Insights' to determine fair compensation ranges based on their follower count and engagement. This reduces back-and-forth in contract discussions."},{"step":"Track and optimize. After launching the campaign, use InPactAI’s 'Real-Time Performance Dashboard' to monitor engagement, conversions, and ROI. Adjust budgets or content angles based on live data.","tip":"Set up alerts for underperforming influencers. InPactAI can flag creators whose engagement drops below 80% of their predicted rate, allowing you to pivot quickly."}]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/AOSSIE-Org/InPactAICopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use InPactAI to identify the top 3 micro-influencers (10K-100K followers) in [INDUSTRY/NICHE] who have the highest predicted engagement rate for a campaign targeting [DEMOGRAPHIC]. For each influencer, provide: (1) their follower count, (2) average engagement rate, (3) predicted cost per post, and (4) 2-3 suggested content angles aligned with their audience. Prioritize creators whose past sponsored posts align with [BRAND_VALUES].
Here are the top 3 micro-influencers for your vegan skincare campaign targeting millennial women (ages 25-34) in the U.S., based on InPactAI’s predictive analytics and historical performance data:
1. **@EcoGlowByLena** (68K followers)
- **Avg. Engagement Rate:** 12.7% (5.2x industry benchmark)
- **Predicted Cost per Post:** $850
- **Content Angles:**
- "A 5-Day Vegan Skincare Reset" (educational series on ingredient benefits)
- "Before & After: My 30-Day Vegan Routine" (authentic transformation)
- **Alignment:** 87% of past sponsored posts featured cruelty-free or organic brands.
2. **@GreenBeautyDiaries** (42K followers)
- **Avg. Engagement Rate:** 11.9%
- **Predicted Cost per Post:** $620
- **Content Angles:**
- "Debunking Skincare Myths with Science" (myth-busting carousel)
- "Affordable Vegan Dupes for Luxury Products" (budget-friendly tips)
- **Alignment:** 92% of sponsored content focuses on transparency and sustainability.
3. **@VeganGlowUp** (91K followers)
- **Avg. Engagement Rate:** 10.5%
- **Predicted Cost per Post:** $1,100
- **Content Angles:**
- "Glow-Up Challenge: 7 Days to Brighter Skin" (interactive challenge)
- "Vegan Skincare for Sensitive Skin" (niche expertise)
- **Alignment:** 78% of past partnerships included clean beauty brands.
**Why These Creators?** InPactAI’s model predicts these influencers will drive a **34% higher conversion rate** than the industry average for vegan skincare, with an estimated **$12,000 in incremental revenue** per $1,000 spent. Their audiences skew 89% female, 25-34, with a strong interest in ethical consumerism. For the campaign, consider allocating 60% of the budget to @EcoGlowByLena and @GreenBeautyDiaries due to their higher engagement and cost efficiency.Take a free 3-minute scan and get personalized AI skill recommendations.
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