Rivers of Opportunity: Creating PPC Account Structures That Produce Performance Pools
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Transcript of Rivers of Opportunity: Creating PPC Account Structures That Produce Performance Pools
#SMX #23BJames Svoboda
@Realicity
James Svoboda, CEO @WebRanking, Co-Founder @MnSearch
RIVERS OF OPPORTUNITY: CREATING PPC ACCOUNT STRUCTURES THAT PRODUCE PERFORMANCE POOLS
#SMX #23BJames Svoboda
@Realicity
RIVERS: MAIN SEGMENT & POTENTIAL, UNDEFINED INTENT
#SMX #23BJames Svoboda
@Realicity
WATERFALLS (and Dams): CONTROL the FLOW
#SMX #23BJames Svoboda
@Realicity
POOLS: IDENTIFIED, TARGETED SEGMENTS based on INTENT
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@Realicity
SELLING and MARKETING to NEEDS and INTENT
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@Realicity
KEYWORD ANCHORS {aka:DKI} for HIGHTER ATTRACTION {aka:CTR}
#SMX #23BJames Svoboda
@Realicity
LINER ENGAGEMENT MODEL (LEM) LINER ENGAGEMENT MODEL (LEM)
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@Realicity
ASSESS EACH POOL for SEGMENTATION & BUILD-OUT
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@Realicity
STRUCTURING for KEYWORDS & INTENT
“POOLS”
#SMX #23BJames Svoboda
@Realicity
KEYWORD STEM MATCHING ALGO (for each word)
#SMX #23BJames Svoboda
@Realicity
LET’S TEST BROAD MATCH
You’re Searching for… a PEACOCK
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@Realicity
AdWords BROAD MATCH for PEACOCK
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@Realicity
MATCHING RULES for BROAD, BMM, PHRASE & EXACT'ish
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@Realicity
KEYWORD MATCH TYPE USAGE by WORD COUNT
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@Realicity
RISK vs. OPPORTUNITY by WORD COUNT
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@Realicity
INITIAL “Confidence” BID LEVELS for MATCH TYPES
Initial Bids Based on Expected:– Conversion Rates– Cost-Per-Conversion– Profit-Per-Conversion
Account for:– Loose Keyword Matching
(aka Google Tax)– Match Type Usage– Word Count in Each Keyword
#SMX #23BJames Svoboda
@Realicity
SAMPLE CONFIDENCE BID LEVEL STRUCTURE
SHIFTS SPEND :– To Exact keywords you have
greater Confidence in.– Away from Broad keyword
pools that are likely to map to unwanted queries that tend to waste budget (aka the Google Tax).
– To Longer, more segmented keyword pools with identified intent.
– Also, maps longer search queries to their more appropriate keywords.
#SMX #23BJames Svoboda
@Realicity
ADJUST STRATEGY for Conservative or Aggressive Approach
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@Realicity
ADJUST STRATEGY for RLSA
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@Realicity
WORKING WATERFALL STRUCTURE
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@Realicity
KEYWORD STEM MATCHING STRUCTURAL BUILD-OUT
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@Realicity
INSIDE “Pool” AD GROUPS
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@Realicity
CONTROLING FLOW with NEGATIVE KEYWORDS
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@Realicity
WORD STEM ANALYSIS CALCULATOR
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@Realicity
EXPADED GEOGRAPHY with CREATIVE KEYWORD TARGETING
Small GEOHEAD KWs
Moderate GEOKWs
+michigan
Larger GEOKWs +upper +peninsula
Huge GEOKWs +michigan
+upper +peninsula
*Geo-Targeting Accuracy: Country > State > City > Zip
#SMX #23BJames Svoboda
@Realicity
DEMOGRAPHICS TARGETING for SEARCH Consider and Analyze:– Same Keywords: Different Ad Groups, Ads & LPs for Different
Audiences– Up River Head Term Targeting
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@Realicity
USE LABELS to HELP ESTABLISH ORDER & STRUCTURE
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@Realicity
TAKEAWAYS
- BMM & EXACT are a great combo- “Word Count” Matters- Identify Query Patterns & Pools- Get Creative with RLSA, Geography & Demographic Targeting
#SMX #23BJames Svoboda
@Realicity
IDENTIFY and TARGET SEARCHER INTENT
FINAL REMINDERTARGET THIS NOT THIS
#SMX #23BJames Svoboda
@Realicity
THANK YOU!
download: www.webranking.com/presentation
James SvobodaCEO WebRanking, Co-Founder MnSearch
t: @realicity e: [email protected] b: www.webranking.com/blog