The Ignite by Acorn-i suite of ads reports combines advertising data from multiple AdTech vendors. Below you'll find definitions for all columns available via the Customise button in those reports. Click the Customise button to add and remove data points to answer your questions.
The Account column is a friendly name use to configure a friendly advertiser name when the Partner name in Ignite is best described as a Holding Company.
Applicable for Google Ads, the Ad Network column shows the name of the network of partner used to show the ad.
Depending upon the AdTech company, they may off one or several types of advertising products. The Advertising Type column distinguishes between different formats to compare and contrast performance.
The name of a Campaign for a collection of adverts aligned to a specific budget, goal or product line.
The Channel name is Vendor Name, and Country Code combined. This column highlights the e-commerce or Advertising channel's name and country or union.
The Funnel column allows you to reporting by the campaign strategies. Possible values include; Awareness, Consideration, Conversion or Loyalty. This label is automatically created by Ignite using a ...continue reading
The Keyword targeting used to match your advert with Search Results.
The Keyword Strategy highlights whether the Keyword targeting is used to target branded or generic Search Results.
The Match Type setting allows you to fine-tune the relevancy of search terms for your advert. Examples include Broad, Phrase and Exact match.
The name of the Brand or Merchant configured in Ignite by Acorn-i.
The location of an advertisement on a webpage.
Applicable for Amazon Ads, the Porfolio allow users to organise campaigns around a common tactic, goal or product line by assigning these campaigns to a Portfolio. In addition, each Portfolio could ...continue reading
The Published column is available in the Ignite by Acorn-i, Amazon Attribution and Facebook Ads reporting. Amazon Attribution The Publish data point for Amazon Attribution allows the reader to ...continue reading
Returns the Search Term shoppers used to find products that match your Keyword or Product Targeting, resulting in at least one click-through to a landing page.
The Category or Product name where you Product Listing was advertised to Amazon shoppers.
The Brand name of Product Listings targeted by your advertising campaigns.
The Category ID or ASIN used to match your advert with Search Results or Product Detail Page.
The Targeting Strategy highlights whether the Category or Product Targeting targeting is used to target branded or generic Search Results.
The technology company name.
The Vendor Subtype column is applicable for Amazon as they offer a range of services that suit different needs of Agencies and Brands. For example, the split between Amazon Seller Central and Amazon ...continue reading
The percentage of the Ad Orders Total for a combination of dimensions, calculated as Ad Orders over Ad Orders Total times by 100 (Ad Orders / Ad Orders Total) * 100.
The percentage of the Ad Sales Total for a combination of dimensions, calculated as Ad Sales over Ad Sales Total times by 100 (Ad Sales / Ad Sales Total) * 100.
The percentage of the Ad Spend Total for a combination of dimensions, calculated as Ad Spend over Ad Spend Total times by 100 (Ad Spend / Ad Spend Total) * 100.
The percentage of the Clicks Total for a combination of dimensions, calculated as Clicks over Clicks Total times by 100 (Clicks / Clicks Total) * 100.
The percentage of the Impressions Total for a combination of dimensions, calculated as Impressions over Impressions Total times by 100 (Impressions / Impressions Total) * 100.
Advertising Cost Of Sale is a helpful measure to identify the effectiveness of advertising, calculated as Ad Spend over Ad Sales times by one hundred (Ad Spend / Ad Sales) * 100.
The like-for-like difference when comparing ACOS with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing ACOS with the previous Day, Week, Month, Quarter or Year.
The Ad Orders attributed to a specific impression or click event by an AdTech platform. The attribution will be dependant upon the provider. Amazon Ads Amazon Ads provides Ad Order conversion events ...continue reading
The Ad Sales revenue attributed to a specific impression or click event by an AdTech platform. The attribution will be dependant upon the provider. Amazon Ads Amazon Ads provides Ad Sales revenue for ...continue reading
The like-for-like difference when comparing Ad Sales with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing Ad Sales with the previous Day, Week, Month, Quarter or Year.
The amount of money spent on advertising a product or service during the select date range.
The like-for-like difference when comparing Ad Spend with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing Ad Spend with the previous Day, Week, Month, Quarter or Year.
The Ad Units Sold attributed to a specific impression or click event by an AdTech platform. The attribution will be dependant upon the provider. Amazon Ads Amazon Ads provides the Ad Units Sold for ...continue reading
Show the average number of Units Sold for each Order.
Show the average Sales revenue for each Order.
Click Conversion Rate is the percentage of clicks that resulted in a conversion, calculated as Ad Orders over Clicks times one hundred (Ad Orders / Clicks) * 100.
The like-for-like difference when comparing CCR with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing CCR with the previous Day, Week, Month, Quarter or Year.
Cost Per Acquisition is the average amount pair of an outcome, calculated as Ad Spend over Ad Orders (Ad Spend / Ad Orders).
The like-for-like difference when comparing CPA with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing CPA with the previous Day, Week, Month, Quarter or Year.
Cost Per Click is the average amount paid for a click, calculated as Ad Spend divided by the number of Clicks (Ad Spend / Clicks).
The like-for-like difference when comparing CPC with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing CPC with the previous Day, Week, Month, Quarter or Year.
Cost Per Mille (CPM), also known as Cost Per Thousand (CPT), is the cost of buying a thousand impressions, calculated as Ad Spend over Impressions times by one thousand (Ad Spend / Impressions) * ...continue reading
The like-for-like difference when comparing CPM with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing CPM with the previous Day, Week, Month, Quarter or Year.
Click Through Rate is the percentage of shoppers who've seen and clicked it, calculated as Clicks over Impressions times one hundred (Clicks / Impressions) * 100.
The like-for-like difference when comparing CTR with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing CTR with the previous Day, Week, Month, Quarter or Year.
The number of times shoppers clicked on one or more advertisements during the selected date range.
The like-for-like difference when comparing Clicks with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing Clicks with the previous Day, Week, Month, Quarter or Year.
The number of times an advertisement was served to potential customers during the selected date range.
The like-for-like difference when comparing Impressions with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing Impressions with the previous Day, Week, Month, Quarter or Year.
Return On Ad Spend is a helpful measure to identify the effectiveness of advertising, calculated as Ad Sales divided by Ad Spend (Ad Sales / Ad Spend).
The like-for-like difference when comparing ROAS with the previous Day, Week, Month, Quarter or Year.
The like-for-like percentage difference when comparing ROAS with the previous Day, Week, Month, Quarter or Year.
