Analyze child-ASIN traffic, conversion, revenue, estimated contribution profit, and inventory cover to find winning and underperforming sizes, colors, styles, or pack counts.
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A parent listing can look healthy while individual child ASINs tie up cash, convert poorly, or repeatedly stock out. Parent totals hide the distribution of traffic, demand, and inventory across sizes, colors, and other options.
Upload a child-item Business Report and use a representative unit cost and Amazon-fee percentage to create an initial contribution view.
High sessions with low conversion can signal an unattractive option, image mismatch, price gap, unavailable size, weak reviews, or traffic landing on the wrong child. Strong conversion with low inventory indicates a replenishment priority.
Estimated contribution profit subtracts the entered unit cost and percentage fee allowance. Replace broad assumptions with SKU-specific economics before making removal or reorder decisions.
A low-volume variation may still improve shopper choice or support the parent listing, while a top-selling child can be unprofitable after returns and advertising. Consider contribution profit, return rate, seasonality, review patterns, and inventory age together.
This analyzer does not judge whether a variation relationship complies with Amazon policy. Use only legitimate variations supported by the category's theme.
After enough child-item reports, the same handful of patterns show up in almost every variation family. This table maps the symptom you'll see in the data to the usual cause and the fix worth trying first:
| Symptom in the report | Most likely cause | First fix to try |
|---|---|---|
| One child takes 80%+ of sessions; siblings starve | That child is the default selection, holds the reviews, or is the only advertised target | Advertise underexposed children directly, check which child the parent's main image and ads land on, and make option labels unmistakable |
| High sessions, low conversion on a single child | Price gap versus its siblings, missing size-chart data, or an image that doesn't match the option name | Fix child-specific content first — shoppers who picked that option were already interested; something on the page turned them away |
| A child only sells when a sibling is out of stock | Substitute demand, not real preference | Treat it as a buffer SKU: carry minimal stock, don't advertise it, and don't read its stockout-window sales spike as organic demand |
| Strong conversion with under 30 days of cover | A genuine winner being under-replenished | Restock it ahead of everything else — stockouts on the best-converting child bleed rank onto the whole parent |
| Negative contribution on a high-volume child | A size or weight difference pushed it into a higher FBA fee tier, or its price was matched to cheaper siblings | Reprice the child on its own economics, or re-examine packaging; identical pricing across children with different fee tiers is a silent margin leak |
| Cover above 120 days on a slow child | Ordered on the family's average velocity instead of the child's own | Cut its next reorder, consider a removal order if long-term storage fees approach the recovery value, and stop averaging demand across children |
A four-child kitchen-goods parent shows $9,150 of monthly sales and looks fine at parent level. The child view tells a different story (unit cost $8, blended Amazon fees 30%):
| Child | Sessions | Units | Sales | Conversion | Est. contribution |
|---|---|---|---|---|---|
| Gray, 2-pack | 2,600 | 310 | $4,950 | 11.9% | +$985 |
| White, 2-pack | 1,900 | 185 | $2,960 | 9.7% | +$592 |
| Gray, 4-pack | 480 | 41 | $1,140 | 8.5% | +$470 |
| Red, 2-pack | 1,150 | 6 | $100 | 0.5% | −$22 |
The red child consumes 19% of the family's sessions and converts at 0.5% — shoppers click it, dislike something (shade mismatch between the photo and the product is the classic culprit), and many leave without switching to a sibling. Fixing or removing that one child is worth more than any optimization to the gray bestseller, and nothing at parent level would ever surface it.
That is the core habit this tool builds: judge each child on its own sessions, conversion, and contribution — never on the family's averages.
Detail Page Sales and Traffic by Child Item is the best starting point. Inventory columns are optional.
The tool applies your fee allowance to sales. Use a blended percentage or rerun groups with similar economics.
No. The builder creates valid combinations; this tool evaluates actual child-ASIN performance.
Not automatically. A slow child can still support the parent by completing the option set shoppers expect, and deleting it forfeits its reviews and history. Delete when it has negative contribution, meaningful storage cost, and no strategic role; otherwise just stop restocking and let it sell down.
Usually because it's the default selection shoppers land on, it holds most of the reviews, or it's the only child your ads target. Session distribution follows exposure, not necessarily preference — advertise other children directly before concluding nobody wants them.
Reviews are typically pooled and displayed at parent level, but sales history, keyword rank contribution, and fee tiers are tracked per child. That's why a stockout on the best-selling child hurts the whole family, and why children with different sizes can have very different margins at the same price.
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