Expertly Made, Perfectly You – LivSo • Next Big Shop

New ReleasesThe last 5 product releases detected for Expertly Made, Perfectly You – LivSo

Moisturizing Pack: Shampoo

Released Oct 2, 2017

Moisturizing Pack: Lotion

Released Oct 2, 2017

Moisturizing Pack: Conditioner

Released Oct 2, 2017

Moisturizing Pack

Released Jan 30, 2017

Moisturizing Conditioner

Released Jul 11, 2016

Best Sellers

Comparable ShopsSimilarly sized shops in the same category

Compete

Catalog Assortment

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SKUs

6th percentile

8

Products

11th percentile

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Vendors

38th percentile

Amongst all Hair Care shops tracked, Expertly Made, Perfectly You – LivSo is in the 11th percentile for Number of Products, 6th percentile for Number of SKUs, and 38th percentile for Number of Vendors.SKU, Product, and Vendor values are inclusive of unavailable and unpublished products.

Price of Goods Sold

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$18.53

Average Price

20th percentile

$17.58

Median Price

21st percentile

Amongst all Hair Care shops tracked, Expertly Made, Perfectly You – LivSo is in the 20th percentile for Average Price of Goods Sold and 21st percentile for Median Price of Goods Sold.Price of Goods Sold (POGS) is the average or median price of all units sold during a given week. It is important to note, POGS is not the same as the Average Order Value (AOV), which is the average amount spent per order.

Chart Appearances

Details

Links

pinterest.com/livsollc

youtu.be/watch

crunchbase.com/livso

Facts

Primary currency is USD

Launched in 2015

Columbus, Ohio, United States

Privately Held

Data Quality

Crawl Stats

Crawling active

First added Tue, Nov 7

First crawl Wed, Nov 8

Last crawl Mon, Sep 30

Crawl History92% success

Estimation Confidence

50% inventory coverage*5% bundle sales†

We continually crawl our data from public sources for the most up-to-date information. Over the last 37 weeks, we were able to collect data from Expertly Made, Perfectly You – LivSo for 34 of those weeks across 50.0% of their products. Learn more about our methodlogy

*Low inventory coverage can underestimate sales.

†High sales from bundles can overestimate sales.