FeaturesGrowth8 min read

How to Read Your Attribution Dashboard

Track revenue and conversion impact per optimization type. Justify ROI to stakeholders. Feed learnings back into your strategy.

What Attribution Tracks

Attribution dashboard measures the revenue and conversion impact of every optimization you make to your product catalog. It answers: "Did my rewrites, translations, and keyword changes actually drive sales?"

What Gets Attributed

  • AI rewrites: Revenue from products where you rewrote the title and/or description
  • Translations: Revenue from products you translated into new languages
  • Keyword-targeted edits: Revenue from products you optimized for specific search keywords
  • Agent-generated content: Revenue from products optimized by Content Optimizer or Language Expander agents

How Attribution Works

The Attribution Window

EcomIQX measures impact in 14-day windows: 7 days before the optimization, 7 days after. This controls for seasonal variance and isolates the optimization impact.

Example:

  • Before: Product "Blue Running Shoes" averaged 10 conversions/day, $2,000 revenue/day (week of Jan 1-7)
  • Optimization: Rewrite title and description on Jan 8
  • After: Product averages 12 conversions/day, $2,400 revenue/day (week of Jan 8-14)
  • Attributed impact: +2 conversions/day, +$400/day revenue

Data Requirements

Attribution requires integration with your conversion tracking (Google Analytics 4, Shopify, WooCommerce, or equivalent). EcomIQX pulls:

  • Conversions per product per day
  • Revenue per product per day
  • Average order value
  • Conversion rate (conversions / sessions)

Statistical Significance

EcomIQX only reports attribution where sample size is sufficient. A product with 2 conversions before/after will not show statistically reliable attribution. A product with 100 conversions before/after will.

This means low-traffic products will not show attribution data (yet). Focus on mid-traffic and high-traffic products first.

Reading the Attribution Dashboard

Main Views

1. Overall Attribution Summary

High-level numbers: total revenue attributed to rewrites, translations, and agents over a date range.

Example:

  • Total attributed revenue (last 30 days): $48,200
  • Number of optimized products: 147
  • Average revenue per product: $328
  • ROI (revenue / optimization cost): 2,410x (assuming $20/month platform cost)

2. Attribution by Optimization Type

Breakdown of impact by what you changed:

  • AI Rewrites: $32,100 (66% of total)
  • Translations: $10,400 (22%)
  • Keyword Optimization: $5,700 (12%)

This tells you which optimization type drives the most revenue in your business. Use this to prioritize work (e.g., if rewrites drive 66% of value, focus there).

3. Attribution by Product Category

Which categories see the most revenue impact from optimization:

  • Electronics: $18,900 (39%)
  • Apparel: $14,200 (29%)
  • Home & Garden: $9,800 (20%)
  • Sports: $5,300 (11%)

Focus optimization effort on high-impact categories first.

4. Timeline View

See when impact occurred relative to optimizations. X-axis is time, Y-axis is revenue. You will see spikes corresponding to when you ran rewrite campaigns.

Detailed Product-Level Attribution

Click into any product to see its personal attribution story:

  • Optimization date: When you rewrote it
  • Before metric: Conversions/revenue in 7 days before optimization
  • After metric: Conversions/revenue in 7 days after optimization
  • Change: Absolute and percentage improvement
  • Statistical significance: Confidence level (95% confident, 90% confident, etc.)

Understanding Attribution Confidence

Why Not All Attribution Is Equal

A product with 500 conversions before/after shows statistically reliable attribution. A product with 10 conversions before/after might be noise (random variance).

Confidence Levels

  • 95% confident: Very reliable. You can bank on this result.
  • 85% confident: Likely accurate, but some margin of error.
  • 75% confident: Provisional. Use as a signal but do not overweight.
  • Below 75%: Sample size too small. Not displayed or marked "insufficient data".

Using Attribution to Inform Strategy

Which Optimization Types Work Best

Your attribution data shows: AI rewrites drive $32k, translations drive $10k. This suggests rewrites are your highest-leverage activity. Double down on rewrites. Translations help, but scale them slower.

Which Categories Respond Best

Electronics sees 39% of attributed revenue despite being 25% of your catalog. This category responds extremely well to optimization. Apparel drives less. Focus on Electronics, allocate less effort to lower-impact categories.

Timing of Impact

If you see attribution spikes 2 weeks after rewrites but not immediately, that tells you impact takes time (SEO ranking improves slowly). Do not expect instant revenue lifts. Patience required.

Feedback Loop to Product Prioritization

If high-traffic products show big attribution but low-traffic products show none, focus rewrite effort on traffic tiers that convert (usually mid to high-traffic products). Low-traffic products may not be worth optimizing.

Common Attribution Scenarios

Scenario 1: Rewrite Shows No Attribution

Why: Sample size too small (product gets under 20 conversions in 14-day window) or conversion rate is already optimized (rewrite could not improve it further).

Action: Focus on higher-traffic products or products scoring very low (more room for improvement).

Scenario 2: Translations Show High Attribution

Why: You captured a new language market that was previously driving traffic without good translations. Easy win.

Action: Translate more product categories in that language.

Scenario 3: Keywords Show Attribution in Some Products but Not Others

Why: Products already ranking #1 for keywords do not see more attribution from rewrites. Products ranking #5-10 for keywords see big jumps (rewrites help them move to #1-3).

Action: Prioritize keyword rewrites for products in positions 5-10, not #1-3.

Scenario 4: No Attribution Overall After 30 Days

Why: Too few optimizations, or you optimized the wrong products (very low-traffic or already-good scorers). Or GA4 is not connected properly.

Action: (1) Verify GA4 is connected and feeding conversion data. (2) Scale up rewrites (do 50+ not 5). (3) Prioritize higher-traffic products.

Sharing Attribution With Stakeholders

Executive Summary

"Last month, we optimized 147 products. Optimization drove $48,200 in attributed revenue, a 2,410x return on the $20 platform cost. Highest-impact optimization type: AI rewrites (66%). Focus category: Electronics (39% of revenue)."

Quarterly Review

Track attribution trend (month-over-month). Is it growing? Plateauing? If growing, you have momentum. If plateauing, you may need to shift strategy (new categories, different optimization types).

Per-Category Breakdown

Show which categories drive the most ROI. Justify why you are focusing rewrite effort on Electronics: "Electronics drives 39% of attributed revenue while being 25% of catalog. Highest ROI category."

Limitations of Attribution

External Factors

Attribution does not account for:

  • Seasonal trends (holiday shopping)
  • Competitor actions (price changes, new products)
  • Paid ads (new ad campaigns can spike sales regardless of content optimization)
  • Press or media coverage

During big events, take attribution numbers with a grain of salt. Isolation is impossible.

Organic Ranking Lag

SEO impact takes 2-4 weeks to appear. A rewrite might not show attribution in the first 14-day window because Google has not re-ranked it yet. Look at 4-week windows for more accurate SEO attribution.

Low-Traffic Products

Products with under 20 conversions in a 2-week window will not show statistically significant attribution. You are optimizing them anyway (good for brand, long-term visibility), but you will not see it in the dashboard.

Getting Started With Attribution

Attribution requires Growth tier ($249/month) and GA4 or equivalent integration. Make sure your conversion tracking is set up before running optimizations — you need baseline data to measure improvement against.

See Getting Started: Your First 30 Days for the full onboarding flow including setting up attribution tracking.

Related Articles

Getting Started

Understanding Your Content Health Score

What the 0-100 overall score means and how the 8 dimensions work together. Learn what drives scores and how to prioritize fixes.

Read →
Features

Getting Started with AI Copilot

Conversational AI that queries your entire catalog, search data, and merchant data. Ask questions, get answers, trigger actions inline.

Read →