Pricing and quotation guide
Amazon product comparison chart design cost
Comparison charts are usually a modest part of an A+ or brand content project, but costs vary with how much groundwork is needed. The price depends on how many products and charts are involved, whether attributes are researched from buyer data, how much effort goes into collecting and checking values from specifications, whether product images need preparing, how complex the design is and whether charts will be reused in your Store and website. Because one chart can appear on several products' pages, its cost is often shared across the range.
Covered here: cost drivers, typical scopes, pricing approaches, upkeep and comparing offers. No prices are given, because they depend on your range and provider; LetGetGrow sets out the cost for your project in a custom quotation.
Illustrative diagram
What drives chart cost
- Products and charts
- More products may need several charts.
- Attribute research
- Reviewing buyer data takes time.
- Data checking
- Gathering and verifying values takes care.
- Imagery
- Consistent product images may need preparing.
- Design
- Custom layouts take longer than standard modules.
Costs paid to third parties (separate from our fees)
- Product photography or cut-outs
- Translation for other marketplaces
Ask whether data collection is included or assumes you supply a complete table.
Projects compared
| Project | Typical scope | Relative cost |
|---|---|---|
| Single chart from supplied data | Few products, standard layout | Lower |
| Researched chart | Attributes from buyer data, verified values | Moderate |
| Range of charts | Several families, imagery, reuse across channels | Higher |
How charts are priced
Per chart
Suits you when
- One or two charts
Watch out for
- Data checking included
Part of A+ project
Suits you when
- Doing A+ at the same time
Watch out for
- Chart itemised
Update rate
Suits you when
- Range changes often
Watch out for
- Turnaround
Data collection
If you supply a complete, checked table of values, design is quick. If values must be gathered from scattered specifications, or conflict between documents, resolving them takes time and needs your input. Preparing the table yourself is one of the easiest savings.
Example: preparing data in-house
Illustrative example — not a client case study
Situation: A drinkware brand wants charts for its bottle and mug ranges.
- The brand's product manager prepares a table of capacities, materials and insulation times from specification sheets.
- The designer suggests dropping one attribute that does not differ across products.
- Two charts are designed from the approved table and reused in the Brand Store.
What this shows: The charts cost less because the data was ready and checked. This example is illustrative.
Comparing quotes
Check the number of charts and products, attribute research, data collection and checking, imagery, design, reuse sizes, revisions and update terms.
Keeping the cost down
Prepare a checked data table, use existing product images, keep attributes few, combine chart work with an A+ project and reuse charts in your Store. Drop attributes that are the same across all products.
Judging the value
Watch return reasons such as 'wrong size' or 'not the model I wanted' and conversion across the compared products. Fewer wrong purchases save money on returns and customer service. Check customer questions too.
Updates
Each product change may mean updating several charts. Editable files and a list of charts by product keep this quick and cheap.
Product imagery
Charts look best with consistent product images, same angle and lighting. If existing images vary, preparing matching cut-outs adds a little cost but makes the comparison clearer.
Attribute research
Reviewing questions, reviews and return reasons to choose attributes adds time but produces charts that answer the real doubts. If you already know which attributes cause confusion, share them to reduce research time.
Several charts for large ranges
Large ranges usually need separate charts for each product family to stay readable. Each additional chart costs less than the first if they share a template.
Revisions
Approving the data table before design keeps revisions to layout and imagery, which are quicker than correcting numbers in a finished chart.
Reuse sizes
Producing versions of the chart for your Store and website adds a little design time and spreads the value of the verified data across more places.
Rejections
If Amazon rejects a chart, revising it costs time. Ask whether fixes are included, and keep to your own range and verifiable values to reduce the risk.
Design complexity
Standard A+ chart modules are quicker to fill than custom-designed comparison graphics. Custom designs can look more distinctive but take longer and may need rebuilding when products change. Choose the simpler option unless the range really benefits from a custom layout.
Questions about Amazon product comparison chart design cost
What affects comparison chart cost?
Products, research, data checking, imagery and design.
Is data collection included?
Check; some quotes assume you supply a complete table.
Is a chart expensive per product?
Its cost is shared across the products shown.
Can charts be reused?
Yes, in your Store and website.
How can comparison charts cost less?
Prepare the data table and use existing images.
What shows a comparison chart is working?
Fewer wrong-product returns and better conversion.
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