keyword bid tool

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Getting the Most Out of Your PPC Program Ryan D. Gibson Director of Marketing The Rimm-Kaufman Group, LLC Glenn Edelman VP, Marketing Wine Enthusiast Companies Agenda 1. 2. 3. 4. Keywords Ad Copy Landing Pages Economics Evaluate Your Approach # of Keywords SKUs Keywords to Test Time spent Suggested Allocation % % Is your ad copy effective? 1 2 3 4 Testing? Yes / No Time spent % Suggested Allocation % Appropriate landing pages? Testing? 1 2 3 4 Yes / No Time spent Suggested Allocation % % Keyword Level Bidding? Multiple Matchtypes? Yes / No Yes / No Time spent % Suggested Allocation % A Comprehensive Term List The Keyword List intense competition high volume lower conversion higher risk The Keyword List “widget” competition intense high volume lower conversion higher risk “blue widget” “high speed widgets” “Acme high speed widget” “Acme RG-520-32” Keyword Creation Tips • Test 3-10 keywords per SKU – modifiers don’t count (“buy ___”, “___ online”) – synonyms, misspellings, SKU numbers • Fully automated tools can be dangerous • Use negatives to control when keywords are matched • Start from the URL Keyword Match Types exact phrase • Value of exact match traffic is twice that of broad match • Multiple match types help ensure better user experience Broad w/ negatives broad automatic matching Check In: Keywords # of Keywords SKUs Keywords to Test Time spent Suggested Allocation % % SKU count x 3 A website with 20,000 SKUs should yield a keyword list of at least 60,000 terms Suggested time allocation for keyword list build-out and development: 10-30% Good Ad Copy is Better Than Bad Ad Copy. Great Ad Copy May be Only Slightly Better Than Good Ad Copy. PPC Ad Copy • Echo the users search string • Provide a compelling “Why shop here?” – offer or promotion – numbers, percentages and “free” – confirm message on landing page • Test, Test, Test – don’t just evaluate CTR – evaluate overall conversion & efficiency PPC Ad Copy: What’s Effective? “mother’s day frame” “kohler bath faucet” “dunlop crybaby classic” “denim mini skirt” Check In: Ad Copy Is your ad copy effective? 1 2 3 4 Testing? Yes / No Time spent % Suggested Allocation % Should A-B test ad copy for highest traffic terms Suggested time for testing/ maintaining ad copy: 5-10% (Mostly ensuring offer in copy is timely and relevant.) Appropriate Landing Pages Specific Landing Pages • Fewest clicks to products reduces overall clicks to checkout • Appropriate landing pages • too deep and the user may leave, thinking you don’t have what they want • too high in the site and the user has to work to find what they want Check In: Landing Pages Appropriate landing pages? Testing? 1 2 3 4 Yes / No Time spent % Suggested Allocation % Should A-B test landing pages for highest traffic terms and top selling products Suggested time for PPC driven landing page testing, design & research: 10-15% Understand YOUR PPC Economics Economics: Brand vs. Non-Brand • Brand = aware of you before search Non-brand = incremental • Economics: Order Latency ‘men’s oxford shirt’ ‘desktop PC’ Economics: Order Latency 120% % Orders & % Sales 100% 80% 60% 40% 20% 0% 1 4 7 10 13 16 19 22 25 28 Days Since Click % of Sales % of Orders Economics: Metrics that Matter • Manage to non-brand, keyword-level economics – Ad Spend to Sales – ROAS – ROI – Ad Spend to Margin Economics: Metrics that Matter Margin should drive Ad Spend 50% A/S 30% target 20% 10% 40% info clothing computers, CE 0% 10% 20% 30% 40% 50% 60% 70% 80% COGS Economics: Metrics That Matter Rule of Thumb formula for PPC ad spend: A / S = (1 – COGS – Variable Costs) / 2 Economics: Margin Based Bidding • A single Ad Spend/Sales ratio ignores the margin differences between categories (cameras vs. accessories) • Margin based bidding results in better bottom line ROI – good solution: set different A/S targets based on category margin structures – best solution: bid based on observed margin with frauds and cancels factored in Economics: Time of Day/ Day of Week • Observed SPC doesn’t vary by position on the page • It often does vary by time of day and day of week • Seasonality has a big impact as well Sale per click relative efficiency 140% 120% 100% 80% 60% 40% 20% 0% M on da y Tu es da W y ed ne sd ay Th ur sd ay Sa tu rd ay Su nd a Fr id ay y Economics: Sales Versus Earnings Check In: Economics Keyword Level Bidding? Multiple Matchtypes? Yes / No Yes / No Time spent % Suggested Allocation % Managing keyword level bids prevents good terms from “holding up” poor performers Suggested time for studying data, looking for trends and refining bid logic: 50-75% Questions? Thank you. More info at RKGblog.com Ryan Gibson ryan@rimmkaufman.com 434-970-1010 x110

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