How to Read Your Attribution Dashboard

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 compares the 30 days before the change with the 14 days after it and with the 30 days after it. To separate your change from everything else that moved, it also builds a control group: up to 20 products in the same category with a similar price, none of which had a rewrite or translation applied close to the same dates. The attributed result is the product's change minus the control group's change.

A result is only reported once at least 7 days of data exist after the change. Until then it is marked insufficient data.

Hypothetical example (invented numbers to show the arithmetic, not a result):

• Product "Blue Running Shoes": $6,000 revenue in the 30 days before the rewrite, $7,200 in the 30 days after (+$1,200)
• Matched control products: $5,000 before, $5,400 after (+$400), the change that happened without a rewrite
• Attributed revenue: +$1,200 minus +$400 = +$800

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 there is enough data. A change with fewer than 7 days of data after it is marked insufficient data. Products with very little traffic are the least likely to show a reliable result.

This means low-traffic products may 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.

The summary shows:

• Total attributed revenue over the date range
• Number of optimized products
• Average revenue per product
• Return on your plan cost, comparing attributed revenue with what you pay

2. Attribution by Optimization Type

Breakdown of impact by what you changed:

• AI Rewrites
• Translations
• Keyword Optimization

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

3. Attribution by Product Category

Which categories see the most revenue impact from optimization:

• Each product category, ranked by attributed revenue
• Each category's share of the total

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 and revenue in the 30 days before optimization
• After metric: Conversions and revenue in the 14 and 30 days after optimization
• Change: Absolute and percentage improvement
• Statistical significance: Confidence level, from very reliable to provisional

Understanding Attribution Confidence

Why Not All Attribution Is Equal

A product with plenty of traffic and a long stretch of data after the change gives a more reliable result. A product with little traffic might show noise (random variance).

How Confidence Is Shown

• Confidence is computed from how many days of data the after-window holds (more days, higher confidence) and from whether a click-through change was detected at all.
• A result with a control group is more trustworthy than one without, because the control group absorbs seasonality and market-wide movement.
• Insufficient data: fewer than 7 days after the change. Wait and it will fill in.

Using Attribution to Inform Strategy

Which Optimization Types Work Best

Suppose your attribution data shows AI rewrites driving far more revenue than translations. This suggests rewrites are your highest-leverage activity. Double down on rewrites. Translations help, but scale them slower.

Which Categories Respond Best

Suppose Electronics sees a larger share of attributed revenue than its share of your catalog. That category responds 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: Not enough data yet (fewer than 7 days after the change, or very little traffic) 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

Use a sentence in this shape, filled in with your own numbers: "Last month, we optimized N products. Optimization drove X in attributed revenue against a plan cost of Y. Highest-impact optimization type: AI rewrites. Focus category: Electronics."

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 a larger share of attributed revenue than its share of the 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 time to appear. A rewrite might not show attribution in the first 14 days because Google has not re-ranked it yet. Check the 30-day result for a fuller picture of SEO impact.

Low-Traffic Products

Products with very little traffic will rarely show a reliable result. 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 Business tier ($299/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.