UZSPACE Promotion
made by:
1 .Semantics is collected and high frequency requests are selected for the names of goods, respectively (titles and descriptions), and low frequency inside texts.
2ndBasic link within categories, in the map of the product
ThreeImplementation of the correct localization for each language
4 .Canonization of single-type goods so that you do not get a filter from search engines for duplicated content
and 5.Implementing and setting Google Analytics and Goals
6 .Starting a brand request campaign
7 .A product feed for the Google Merchant Center in which the names and descriptions were filled according to semantics
8 .Started standard trading campaign
The 9.Remastered in KMS
The 10.Starting search campaigns for a number of niche requests
11 of 11.Parallelly, lists of minus words were prepared, both common and under each campaign for cross minus, so that to distinguish traffic and campaigns attract the demand as relevant as possible.
12 .Updates of the semantic core
13 .After obtaining sufficient amount of data, all campaigns were translated into automatic stake strategies.
14 .Advanced e-commerce and dynamic remarketing
15 .The transition to a smart (smart) trading campaign that adds a remarketing
16 .Started remarketing in the search network, Instagram, FB, YouTube, CMS
17 .Intelligent search campaign launched
18 .After the collection of new data, the analysis of the amount and cost of the conversion was made by age, location, and geo
19 .Relevant changes to the campaign
20 Creation of a new commodity feed under a new semantic
21 of 21.Distribution of commodity campaigns according to the category of requests as different categories of requests showed different conversion costs
1 .Semantics is collected and high frequency requests are selected for the names of goods, respectively (titles and descriptions), and low frequency inside texts.
2ndBasic link within categories, in the map of the product
ThreeImplementation of the correct localization for each language
4 .Canonization of single-type goods so that you do not get a filter from search engines for duplicated content
and 5.Implementing and setting Google Analytics and Goals
6 .Starting a brand request campaign
7 .A product feed for the Google Merchant Center in which the names and descriptions were filled according to semantics
8 .Started standard trading campaign
The 9.Remastered in KMS
The 10.Starting search campaigns for a number of niche requests
11 of 11.Parallelly, lists of minus words were prepared, both common and under each campaign for cross minus, so that to distinguish traffic and campaigns attract the demand as relevant as possible.
12 .Updates of the semantic core
13 .After obtaining sufficient amount of data, all campaigns were translated into automatic stake strategies.
14 .Advanced e-commerce and dynamic remarketing
15 .The transition to a smart (smart) trading campaign that adds a remarketing
16 .Started remarketing in the search network, Instagram, FB, YouTube, CMS
17 .Intelligent search campaign launched
18 .After the collection of new data, the analysis of the amount and cost of the conversion was made by age, location, and geo
19 .Relevant changes to the campaign
20 Creation of a new commodity feed under a new semantic
21 of 21.Distribution of commodity campaigns according to the category of requests as different categories of requests showed different conversion costs