Entafix: Product Price History

Develop by Shopify

$4.9-$29.9

/ Month

15 Days Free Trial

Save, compare price/solds & add badge - graph to product page.

Track price changes

Analyze sales data

Add custom labels

Display price graph

Compare price trends

Manual/automatic sync

About Entafix: Product Price History

Launched Feb 18, 2024

Built by Shopify

Address

Viaredsvägen 35 Port 43B, Borås, 50464, SE

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Description

Saves product price and sale & allow comparisons between price changes & add badge to product page.

Saves your price changes and sales for each variant across different dates. It provides you with the opportunity to analyze this data through graphs and tables. Additionally, you can add labels to your product page, such as "Lowest Price in the Last 30 Days," Also, you can also add a price change graph to your product page. These graphs and labels can be fully customized to fit your store. Increase your sales by enabling your customers to better understand your discounts from their perspective!

The ability to view the different prices and sales of products at various times.
The ability to add fully customized badge & graph to product page.
The ability to establish trust with transparent product pricing.
Compare sold/price rates of your products at different times, such as campaigns
Ability to manual and automatic sync of your products.

Pros

Saves price changes and sales data for each variant across different dates
Data analysis through graphs and tables
Ability to add customized labels, such as 'Lowest Price in the Last 30 Days', to product pages
Option to add a price change graph to product pages
Graphs and labels are fully customizable to fit the store's brand
Enhances customer understanding of discounts, potentially increasing sales
Allows viewing of different prices and sales of products at various times
Establishes trust with transparent product pricing
Enables comparison of sold/price rates of products during different campaigns
Supports manual and automatic synchronization of products

Cons

Potential for increased complexity in managing and customizing graphs and labels
May require additional time to properly set up and analyze the data
Dependence on the accuracy of entered data for meaningful insights
Performance might be affected with large product catalogues if not optimized properly