Boost Your Google Ads Performance with PLA Landscape Analytics

BURLINGTON, Mass. - April 22, 2020 - PRLog -- Google Ads optimization requires continuous ad visibility, analysis, and changes. GrowByData's PLA Landscape Analytics provides data, reports, and anomalies to enable advertisers and agencies to increase Return on Ads and boosts Ads Performance.

GrowByData's Landscape Analytics gives detailed visibility from collected PLA SERP data to uncover factors that can improve Ads Rank and Quality Scores.

Ad platforms like Google offer features and guidelines for budget controlling and optimization via metrics such as Ads Rank, Ads Rank Thresholds and Quality scores by keyword/search term. The ad specialist utilizes these metrics to improve Ads Impression, Click-Through Rates (CTR), and Average Cost of Sales (ACOS).

How does Google decide on Ad Position?

Per Google "Ad Rank is a value used to determine your ad position (where ads are shown on a page relative to other ads) and whether your ads will show at all". This rank is calculated from your max bid amount and factors such as ad quality, expected CTR, the context of searches like location, device, time of the search, other ads, search results, user signals/attributes, nature of search terms, landing page experience, position, competitiveness, expected impact of ads extensions and others.

How does Google calculate the Actual Cost Per Click (CPC)?

Google calculates the actual cost per click (https://support.google.com/google-ads/answer/6297) based on Quality Score  &  Ad Rank. This implies that you can spend less on CPC to win First Rank Position.

The actual CPC Advertiser's ranking for the keywords is calculated as:

Your Price = The Ads Rank Of The Advertiser Below You/ Your Quality Score + 0.01

The metrics provided by Google are vague and lack details required by ads specialists to boost PLA campaigns.  GrowByData's landscape analytics gives detailed visibility from collected PLA SERP data to uncover factors that can improve Ads Rank and Quality Scores.  The Landscape Analytics collects firsthand PLA data to show competitors, ad content like title, advertised price, special tags used via ads extensions, reviews, ratings, and landing page URL. By keyword, it also tracks the ad's availability and position. The product tracks these attributes by keyword from different locations at different times.

This data enables Ad specialists to analyze competitors, the content of top-ranked ads, competitive prices, ad spots and find opportunity keywords for campaigns.

Check out the full insights on "https://growbydata.com/boost-your-ads-performance-with-pla-landscape-analytics/".