Uses machine learning algorithms to search and filter millions of social media profiles based on custom criteria like niche, engagement, audience quality, and past performance.
Automatically flags fake followers, bot activity, and inauthentic engagement to ensure brands partner with genuine influencers.
An integrated workspace to manage the entire influencer campaign lifecycle, from outreach and contract negotiation to content approval and payment tracking.
Dashboards that track key campaign metrics in real-time, including reach, engagement, conversions, and estimated return on investment, with benchmarking against goals.
Delivers deep analysis of an influencer's audience, including age, gender, location, interests, and brand affinity, based on their public social data.
Suggests optimal posting times, content formats, and trending hashtags for influencer campaigns based on historical performance data.
A direct-to-consumer brand uses The Social Shepherd to identify micro and macro-influencers whose audiences match their target demographic for a product launch. The AI filters creators by engagement rate and past collaboration success. The brand then manages the entire campaign, from initial outreach to tracking pre-order conversions generated by influencer promo codes, ensuring a coordinated and measurable launch strategy.
A marketing agency employs the platform to handle multiple client campaigns simultaneously. They use the AI discovery to quickly build lists of vetted influencers for different industries, manage contracts and payments centrally, and generate white-labeled reports for clients. This automates repetitive tasks, allowing the agency to scale its service offerings without linearly increasing staff.
An established company undergoing a rebrand uses the tool to find influencers in new, adjacent niches to introduce their refreshed identity to a broader audience. The audience insight features help identify creators whose followers have interests overlapping with the company's new direction, facilitating authentic partnerships that drive awareness among new customer segments.
An e-commerce brand focused on ROI uses the platform's analytics to recruit influencers based on predicted conversion rates rather than just reach. They track affiliate links and sales attribution directly in the dashboard, allowing them to double down on high-performing creators and optimize their marketing spend based on clear, data-driven performance metrics.
A large corporation uses the fraud detection and audience analysis features to vet potential influencers thoroughly before partnership, avoiding associations with creators who have fake followers or audiences that could pose reputational risks. This proactive vetting helps maintain brand integrity and prevents potential PR issues from poorly aligned collaborations.
Sign in to leave a review
Activate is an AI-powered influencer marketing platform designed to streamline the process of discovering, vetting, and collaborating with social media influencers. It serves brands, agencies, and marketers by automating the labor-intensive tasks of influencer identification and campaign management. The platform leverages artificial intelligence to analyze vast amounts of social data, assessing influencer authenticity, audience demographics, engagement rates, and brand alignment. This helps users move beyond superficial metrics like follower count to find partners who can genuinely drive campaign objectives. Activate aims to solve problems of scalability, fraud detection, and ROI measurement in influencer marketing. By providing data-driven insights and workflow tools, it enables teams to plan, execute, and analyze campaigns more efficiently from a single dashboard. The tool is positioned as a modern solution for data-centric marketing professionals seeking to optimize their influencer strategy and prove business impact.
Ad-Lib.io is an AI-powered platform designed to automate and optimize the creation of digital advertising creatives. It serves marketing teams, agencies, and performance advertisers by generating a high volume of ad variations tailored for platforms like Facebook, Instagram, Google, and TikTok. The tool addresses the challenge of ad fatigue and the need for constant creative refresh by using AI to produce diverse images, videos, and copy from a single input. Users can upload their own assets or use stock libraries, and the platform's algorithms test and learn which combinations perform best. It positions itself as a solution to scale creative production, reduce manual design time, and improve campaign performance through data-driven creative iteration. The platform integrates with major ad platforms and analytics tools, enabling a seamless workflow from creation to deployment and optimization.
AdBadger is an AI-powered platform designed to streamline and enhance the creation of digital advertising content. It primarily serves marketers, advertising agencies, and e-commerce businesses looking to improve the performance of their ad campaigns across platforms like Meta (Facebook & Instagram), Google, and TikTok. The tool leverages generative AI to produce a variety of ad assets, including compelling ad copy, headlines, descriptions, and visual concepts. It aims to solve the challenges of creative fatigue, time-consuming content production, and the need for constant A/B testing by automating the ideation and generation of high-performing ad variations. By analyzing performance data and market trends, AdBadger helps users quickly generate tailored creatives that are designed to increase click-through rates and conversions, positioning itself as a creative co-pilot for data-driven advertising teams.
