Embed
Email

Effectively Managing Quality Score

Document Sample

Description

Non-target words on the website but can also bring search traffic keywords, called long tail keywords. The characteristics of long tail keywords is a long, often composed of 2-3 words, even phrases found in the content page, in addition to the content page's title, but also in content. Search volume is very thin and unstable. Long tail keywords bring customers into the product the customer site the probability is much higher than the target words. There are a lot of long tail keywords and medium-sized site, it brings the total flow is very large. Basic properties of long tail keywords are: scalability, targeted and wide.

Shared by: Elijah Jimmy
Stats
views:
15
posted:
12/4/2011
language:
English
pages:
6
Effectively Managing

Quality Score



[White Paper]

Effectively Managing Quality Score

It has been said that effectively managing Search Engine Marketing (SEM) campaigns is based 80%

on the Quality Score (QS) and 20% on the bid. The days of “paying your way” to a high ad rank are

long gone, and we now live in a world where relevancy is key.



While QS is complex calculation, understanding the fundamentals of this calculation can enable

marketers to run cost-effective and profitable SEM campaigns.



Quality Score Basics



What is Quality Score?



Google defines Quality Score (QS) as “a dynamic variable calculated for each of your keywords. It

combines a variety of factors and measures how relevant your keyword is to your ad text and to a

user's search query.” In short, Google says the primary goal of the QS is to measure relevancy. An

advertiser’s position (or rank) in the paid listings is determined by both the bid and the QS.



Since the introduction of Google’s Quality Score, Yahoo! launched their version, referred to as

Quality Index. In November 2008, Microsoft began a limited pilot to test their own keyword

quality score, with the intention to roll it out sometime in 2009. While Google’s Quality Score is

defined at the keyword level, Yahoo!’s Quality Index is at the ad level. Regardless of this fact,

both indexes look at the keyword/advertisement combination.



How Quality Score Works



Understanding the goals of Quality Score (QS) make understanding how QS management that

much easier. The three main goals of Google’s Quality Score (and any search engine’s ranking

algorithm) are to:



• Develop consumer loyalty by only displaying high-quality advertisements directly related

to the search query.

• Maximize search engine revenues by making sure that every search result page displays

the most relevant and attractive sponsored links, thus providing the Search Engine with

maximum click-through opportunity.

• Reduce non-profitable clicks for the advertiser by offering controls to only display

advertisements to customers interested in your products.



The QS determines the ad rank and the actual Cost-per-Click (CPC). An excellent Quality Score will

allow the advertiser to be displayed above its competitors, for a lower CPC. While a keyword can

be in more than one match type at a time (except on Yahoo!), the search engines view each

keyword/match type as its own entity, and therefore, it receives its own individual QS.



The Goals of Quality Score - Dissected



As previously explained, Quality Score (QS) seeks to achieve three main goals: develop consumer

loyalty; maximize search engine revenues; and reduce non-profitable clicks for the advertiser. But

what does this really mean?

Like any business, in order to continue to survive, the search engines must keep consumers

coming back. In order to do so, they are constantly updating their algorithms to make the results

page as relevant as possible to the consumer. This includes both natural search results and paid

listings. By making the page valuable to the consumer, the hope is to continue bringing the

consumer back for future searches.



Bringing the consumer back is only valuable when they generate revenue for the search engine.

As such, the search engine hopes to maximize its click-through opportunities with “relevant” paid

listings and banner ads on the Search Engine Results Page (SERP). With each query, Google will

allocate advertisers to each rank with the objective of generating the highest CTR for a given rank

multiplied by the highest CPC. Lost? Put simply, Google ranks ads based on their potential revenue

(CTR * CPC).



While the search engines rely on consumers returning, they also rely heavily on advertisers

continuing to bid. Just like they need consumers to click to generate revenue, the search engine’s

potential revenue is based on advertisers’ bids. To encourage advertisers to return, the service

offered has to remain compelling. To do this, the search engines offer controls to remove as many

unprofitable impressions as possible. These controls include geo-targeting, language targeting,

match type options, and negative keywords.



The Components of Quality Score



While the exact components used to calculate Quality Score (QS) are not public knowledge, it is

known that the QS index mainly relies on:



• Click-Through-Rate (CTR)

• Ad relevance (ad matches precisely with the query)

• Landing page quality (content relevance, loading speed, etc.)

• Advertiser’s history (the QS the account has had in the past)



By heavily relying on CTR, the search engines have a clear gauge of consumer interest. The more

consumer interest (read: clicks) an ad receives, the more relevant the search engine deems it; the

more relevant an advertiser, the more money the search engine receives – which makes that

advertiser profitable. This profitability is the driving force of QS.



The Search Engine Marketing (SEM) climate is ever-changing; with new advertisers joining in the

masses and existing advertisers adding more keywords, the SEM marketplace continues to grow.

For these reasons, the search engines need a way to gauge the risk involved in new keywords

from existing advertisers and in new advertisers. To do so, other factors are also considered, such

as ad relevance, landing page quality, and an advertiser’s history. By taking other factors into

consideration, the search engine has a way to “pre-measure” the revenue potential a keyword

and ad have for the engine. After all, one of the main goals of QS is to maximize the search

engine’s revenues.



Managing Quality Score



Relevancy, Relevancy, Relevancy

As it has become abundantly clear, Quality Score (QS) measures the potential revenue a keyword

and ad combination have on a query-by-query basis. The higher the potential, the more

opportunity the keyword and ad combination have to be displayed.



Without having the actual components of the algorithm available, an advertiser must rely on the

controls available to them to ensure their ads are displayed when most profitable. Essentially,

these controls help advertisers improve their relevancy. Basic techniques to improve relevancy

include landing page testing, ad copy testing, and negative keyword management.

Search engines use the same technology to crawl paid advertisement landing pages as they use in

crawling for natural listings. Ensuring the product or service in the paid advertisement is

prominently displayed and described on the landing page improves the score of the landing page,

and, in turn, has a direct positive effect on QS.



By testing ad copy, an advertiser can quickly learn what is compelling to a consumer. With further

adjustments, the advertiser can run the most persuasive copy possible. However, bringing

massive amounts of traffic to a website is one thing, but bringing relevant (read: profitable) traffic

is a whole other thing. Advertisers should use as many controls as possible to ensure that their ad

is displayed to the most relevant queries as possible.



One basic, yet effective technique to exclude non-profitable queries is to put in place an extensive

negative keyword list. Depending on the search engine, an advertiser has the option to have

negative keywords at the campaign level or at the adgroup level. Due to the increased control,

negative keywords are most valuable when they are at the adgroup level.



After time, depending on the QS, an advertiser becomes less risky to the search engine. This

allows the advertiser to add new keywords at a lower initial CPC since the search engine “trusts”

this advertisers overall relevancy. This is another reason why managing QS is essential, as once an

advertiser begins to increase their score, their overall performance is also lifted.



Advanced Techniques



With an advanced solution, like the eSearchVision platform, advertisers can take Quality Score

(QS) management to an even higher level. To run the most efficient campaigns, an advertiser

should attempt to increase the Click-Through-Rate (CTR) while simultaneously lowering the Cost-

per-Click (CPC) per keyword. Our proprietary tracking, advanced reporting, and automated

analysis tools provide the ability for sophisticated QS optimization techniques such as:



• Match Type Control

• Top Keyword Isolation

• Long Tail Management



Match Type Control: Controlling the traffic to bring it in at the most specific keyword/match type

combination possible increases the CTR. Since each keyword/match type combination has its own

QS, the increased CTR will improve the QS, thus lowering the CPCs paid. eSearchVision’s exclusive

reporting allows unique match type analysis to ensure that traffic is brought in at the lowest Cost-

per-Click (CPC) possible.



Top Keyword Isolation & Long Tail Management: Isolating “top keywords” (keywords that account

for 50% of the total spend) into their own campaign allows an advertiser to enlist very specific

controls to that campaign. As their number is limited, (Top Keywords very often account for 1 -

5% of the total number of keywords), it really makes sense to isolate them and monitor them

closely. The time spent managing these keywords has to be aligned with the revenue they

generate.



Changes in Top Keywords will have the largest effect on the overall campaign performance,

therefore isolating them for close attention and tailor made optimizations is crucial. For instance,

by placing these keywords each in their own adgroup, highly specific ad copy can run to increase

CTR.



Additionally, adding long tail keywords in highly-specific match types (i.e. Exact match), improves

the QS for those keywords, and moves the traffic away from less-specific, more expensive match

types (i.e. Broad match). Grouping long tail keywords with similarly behaving keywords allows for

mass updates



eSearchVision’s automated analysis tool identifies known long tail opportunities that are not yet

realized. Gathering information from our proprietary tracking, our analysis tool discovers queries

that are bringing in traffic under non-exact match types. By sorting these queries by the clicks and

conversions they each bring, an extensive long tail keyword list can be created using more specific

match types.



Changes to campaign and/or adgroup level reporting due to moving keywords to a new campaign

and/or adgroup might deter an advertiser from restructuring their campaigns as effectively as

possible. eSearchVision’s catalog management feature adds additional layers to the search

engines’ “Campaign-Adgroup-Keyword” structure, providing ultimate flexibility in organizing a

campaign for maximized ease of use and efficiency. By providing a way to tag a campaign,

adgroup, or keyword with user-defined values, this feature allows business-centric reporting to

continue.



Managing Bids vs. Managing Quality Score



Achieving optimal results takes more than making the right bids; it also takes understanding the

importance of managing Quality Score (QS). An advertiser can make optimizations that will

increase their QS and decrease their Cost-per-Clicks (CPCs), while still finding the sweet spot on a

Search Engine Results Page (SERP). Instead of increasing bids to achieve this spot, an increased

effort in smart QS optimizations will ensure an advertiser runs the most cost-effective campaigns

possible.



In the end, it is important to effectively manage bids with efficient processes to increase the time

available for advanced optimizations that will increase QS. Whether working as a full-service

agency or when building our campaign management solution, eSearchVision merges these two

fundamental ideas together to provide the highest quality service and most innovative technology

on the market.

About eSearchVision

eSearchVision is a search engine marketing agency and global technology company used by many

of the largest brands across the world. Continuously refined and improved by a team of engineers

working hand-in-hand with quality-score expert account managers, the eSearchVision platform is

at the forefront of paid search management technology. We offer both licensing of our platform

and full agency support.



The eSearchVision platform is the most comprehensive paid search management platform

currently available to marketers. It combines tracking, reporting, and bid management on one

platform alongside a suite of power-tools such as automated campaign analysis, mass updates,

catalog methodology, raw request, etc. eSearchVision is a vital tool for any paid search marketer

trying to leverage maximum benefit from paid search.



eSearchVision’s Account Management team offers world-class service with industry know-how,

dedicated attention, and quality score expertise. We believe that we are an extension of our

clients' team which means we can handle all the details from account structure to quality score

management without ever losing the big picture.



Related docs
Other docs by Elijah Jimmy
georomaer_android supported devices
Views: 14  |  Downloads: 0
Virtual Terminal
Views: 20  |  Downloads: 0
www.ennisfashionweek.ie 17 - 25 OctOber 2009
Views: 96  |  Downloads: 0
KICKBOXING_2_
Views: 1  |  Downloads: 0
2010-08-12 Green Guide
Views: 2  |  Downloads: 0
By registering with docstoc.com you agree to our
privacy policy

You are almost ready to download!

You are almost ready to download!