How to Read Your Attribution Dashboard
Track revenue and conversion impact per optimization type. Justify ROI to stakeholders. Feed learnings back into your strategy.
Read →How to configure agents that continuously optimize your catalog without manual intervention — while maintaining quality control.
Manual optimization is inherently batch-oriented. Your team rewrites 50 products in April, then moves on to other work. In May, content quality drifts as new products upload, old products go out of stock, and brand guidelines shift. September rolls around and you realize 30% of your catalog has degraded.
Agents flip this model. They monitor your catalog continuously (daily or hourly). When they detect problems (score dropping, new product with incomplete data, seasonal content drift), they act immediately. No batch cycles. No gaps. Always-on optimization.
What it does: Continuously monitors content health scores. When a product's score drops below your threshold, it flags it for review (report-only mode) or auto-rewrites it (autonomous mode).
When to use: Always. This agent costs nothing and catches degradation immediately.
Configuration:
What it does: Automatically rewrites product titles and descriptions. Configured with your brand voice, it generates rewrites continuously for products below a score threshold.
When to use: After month 1. Once you have validated the rewrite workflow with 20-30 manual rewrites and confirmed they improve scores.
Configuration:
What it does: Automatically translates product content into target languages. Maintains brand voice and terminology across languages.
When to use: When expanding into new markets (Europe, Asia, etc.). Requires Growth tier+.
Configuration:
What it does: Automatically improves product images (contrast, composition, background, text overlays). Integrated with ComfyUI for image generation.
When to use: Enterprise tier only. Requires dedicated deployment and significant monthly spend.
Agents can operate at three levels of autonomy. Start low, increase as you gain trust.
Agent detects issues and sends you alerts. You decide what to do. Zero execution risk (agent never changes anything). Best for testing.
Example: "Catalog Health Monitor detected 12 products with scores below 60. Review attached list. Approve to rewrite."
Agent detects issues and generates recommendations (proposed rewrites, translations, etc.). You review and approve or reject before execution.
Workflow: Agent generates → You review (20-30 min/day) → You approve → Agent executes
Best for: Your first month with agents. Builds confidence in agent quality.
Agent detects issues and executes immediately. No approval gate. Changes are live within hours.
Best for: After 2+ months of successful "propose" mode. When you have reviewed 50+ agent actions and trust quality.
Agents consume credits (rewrites cost 1-2 credits, translations cost 0.5-1 credits). Set monthly budgets to control spend.
Divide your monthly budget across agents:
Adjust quarterly based on results. If Language Expander is generating high ROI, shift budget toward translations.
Do not jump straight to autonomous. Build confidence through stages.
Turn on Catalog Health Monitor in report-only mode. Receive daily reports of products flagged for improvement. Do not act on them yet. Just watch.
Goal: Verify that agent correctly identifies low-scoring products.
Turn on Content Optimizer in "propose" mode. Agent generates rewrite suggestions for 10-20 products. You review each suggestion (5 min per rewrite). Approve or reject.
Evaluation questions:
Goal: Approve 15+ rewrites. Rejection rate should be below 20% (if higher, brand voice may need tuning).
Continue reviewing 30-50 more agent-generated rewrites. Watch for patterns:
Goal: Reach 50+ reviewed rewrites with 80%+ approval rate.
Switch agent to autonomous. It now rewrites 10-20 products per day without approval. You spot-check 5-10 per week to maintain quality.
Monitoring dashboard shows:
Every month (same day), review:
If all green, continue or increase budget. If red flags, investigate root cause and adjust configuration.
Result: Your 2,000-product catalog is continuously optimized. Score degradation is caught within 24 hours. New products are improved automatically. Revenue attribution shows 15-25% lift from agent activity.
Example for medium catalog (1,500 products):
Agents do not replace people — they amplify them. Your team gets freed up to work on strategy, not manual execution. Total cost increases slightly ($6K), but output increases 5x.
Break-even: In month 2, when agents are generating 15-25% revenue lift (attribution), the extra $6K subscription pays for itself many times over.
Track revenue and conversion impact per optimization type. Justify ROI to stakeholders. Feed learnings back into your strategy.
Read →Choose a low-scoring product and rewrite it. Review the diff, approve it, and watch your score jump 10-20 points.
Read →Define your tone, vocabulary, and style once. All AI rewrites, translations, and content will match your voice automatically.
Read →Ready to try it?
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