GoodLads vs Viktor for Media Buyers: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of GoodLads and Viktor for Media Buyers — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
GoodLads
GoodLads
AI growth manager for Google Ads that turns account performance into testable hypotheses and ships each one only on your approval.
Key features
- Hypothesis Feed: Daily analysis of search terms, keyword quality, geography, and audiences produces a ranked list of ideas, each naming the campaign and the spend at risk.
- One-Click Shipping with Approval Gate: Any proposed change is applied in a single click but never without explicit owner approval, and live ads are not edited directly.
- Kanban Verdict Board: Hypotheses move through Proposed, Scheduled, Live, and Completed so every test ends with a measured verdict rather than being forgotten.
- Account Treemap Overview: Campaign spend, conversions, and ROAS roll into one visual overview sized by spend and coloured against the account average.
- Least-Risky Lever Selection: Recommendations favour reversible mechanisms such as 50/50 RSA experiments, stepped target CPA changes, and new paused assets.
- Predicted vs Measured Reporting: Each completed experiment compares the predicted lift against the actual result, with budget shifting to the winner.
- Claude Code and Codex Integration: The same workflows can be driven from Claude Code or Codex for teams that work from a coding agent.
Best for
- Performance Review: Get a single overview of how every campaign is doing on spend, conversions, and ROAS without building reports by hand.
- Wasted Spend Discovery: Surface negative keyword opportunities, poor keyword-ad combinations, and geography issues that are draining budget.
- Budget-Capped Campaigns: Identify campaigns limited by budget and lower target CPA in reversible steps to buy cheaper conversions at the same spend.
- Ad Copy Testing: Run benefit-led versus price-led headline experiments as 50/50 splits instead of editing live ads.
- Seasonal Campaign Prep: Stage seasonal copy and sitelink assets in advance, ready for one-click approval when demand spikes.
- Agency Account Management: Manage optimisation hypotheses across multiple client accounts from one board with a shared approval workflow.
Viktor for Media Buyers
Viktor
An autonomous AI coworker that lives in Slack, connects to 3,000+ tools, and automates reports, dashboards, code, and ad campaigns.
Key features
- Slack-native Assistant: Operates directly inside Slack channels and DMs to accept task requests, deliver results, and run workflows without requiring users to switch apps.
- Multi-Tool Integrations: Connects to 3,000+ business tools and data sources, enabling cross-platform queries, data aggregation, and end-to-end automation across the tech stack.
- Automated Reporting & Dashboards: Generates scheduled or on-demand reports and interactive dashboards by pulling, joining, and visualizing data from multiple connected services.
- Campaign Automation: Designs, launches, and manages marketing and ad campaigns by orchestrating ad platforms, tracking performance, and adjusting parameters based on rules or insights.
- Code and Web App Generation: Produces code snippets, scripts, or lightweight web apps to automate tasks or expose custom integrations, accelerating developer workflows and prototyping.
- Data Analysis & Insights: Runs analytics queries, surfaces key metrics and anomalies, and provides actionable recommendations based on consolidated data.
- Workflow Orchestration: Chains actions across tools (e.g., update CRM, adjust bids, export reports) to automate recurring operational processes with minimal manual intervention.
- Slack-native agent that operates inside Slack channels and DMs
- Connects to 3,000+ third-party tools and platforms via pre-built connectors
- Automated report and dashboard generation and delivery
- Campaign setup and management support for media buying workflows
- Code generation and automation (scripts, tracking snippets, simple code tasks)
- Execution-first assistant (performs work vs. only providing guidance)
- Integrates with analytics and ad platforms to centralize insights
- Template-driven workflows and repeatable task automation
Best for
- Cross-Platform Campaign Reporting: Automatically aggregate metrics from multiple ad platforms into a single dashboard and deliver daily summaries in Slack for media buying teams.
- Ad Performance Optimization: Monitor campaign KPIs and automatically trigger budget or bid adjustments across ad accounts based on predefined thresholds or AI-driven recommendations.
- Creative Test Automation: Orchestrate A/B test setups, collect results, and produce statistical summaries and winner recommendations without manual data exports.
- Budget & Spend Reconciliation: Pull spend data from ad platforms and finance systems, reconcile discrepancies, and generate reconciliation reports for stakeholders.
- Attribution and Conversion Analysis: Combine CRM, analytics, and ad data to produce multi-touch attribution reports and identify high-performing channels and creatives.
- Self-Serve Data Tools for Non-Technical Users: Allow marketers and media buyers to request custom reports, run ad-hoc analyses, or generate scripts/apps via Slack without engineering support.
- Automate daily and weekly ad performance reports and push them to Slack channels
- Generate and update dashboards for campaign KPIs without manual data pulls
- Create and deploy ad campaign configurations and creative briefs via integrated connectors
- Produce tracking or reporting code snippets and small scripts to support measurement
- Centralize cross-tool workflows (analytics, CRM, ad platforms) and coordinate execution via Slack