Viktor is an AI coworker that lives in Slack and executes tasks end-to-end. It connects to over 3,000 tools like Stripe, Meta Ads, and Notion to automate workflows, generate reports, build web apps, and analyze data. Unlike chatbots, Viktor produces real outputs like PDFs, dashboards, and deployed applications.
Freemium
from $50/month
How to use Viktor for Media Buyers?
Install Viktor from the Slack App Directory or Microsoft Teams and connect your tools. Then, simply talk to Viktor like a colleague in Slack. Ask it to pull data from multiple sources, create reports, build internal tools, automate follow-ups, or launch campaigns. Viktor will query your connected tools, analyze information, and deliver completed work.
Viktor for Media Buyers 's Core Features
Executes real work by connecting to 3,000+ tools like Stripe, Meta Ads, GitHub, and Notion, performing actions instead of just generating text.
Builds and deploys functional web apps, dashboards, and client portals with database and authentication, eliminating engineering tickets.
Automates complex workflows end-to-end, from data pulling and analysis to scheduling recurring tasks and proposing new automations.
Delivers tangible outputs including PDF reports, spreadsheets, code, and live dashboards that teams can immediately use.
Learns from team conversations to build knowledge over time, remembering what works and personalizing its approach to your business.
Operates natively within Slack and Microsoft Teams, allowing team members to interact naturally via mentions and threads.
Maintains persistent workspace context and isolated compute environments for each user, ensuring data security and continuity.
Viktor for Media Buyers 's Use Cases
Media buyers can automate ad spend audits across platforms, generate performance comparison reports, and launch optimized campaigns without manual data exports.
Founders and CEOs receive automated investor updates with assembled revenue, burn rate, and pipeline data delivered as polished board decks.
Marketing teams run outbound campaigns by building ICP lead lists, enriching contacts, and launching email sequences with conversion tracking.
Operations managers build internal tools like revenue dashboards and approval workflows as deployed web apps in minutes, bypassing IT requests.
Engineering teams automate code reviews, create Linear issues from discussions, and generate deployment-ready applications from specifications.
Sales professionals automate CRM updates, follow-up task creation after meetings, and pipeline reporting directly from conversation threads.
Finance departments pull MRR, churn, CAC, and ad spend data from multiple sources for automated morning reports delivered to Slack.
