SEM

Search engine marketing strategy, keyword bidding, quality score optimization, and paid search campaign management

openclaw skills install @ivangdavila/sem

Keyword Strategy

Exact match isn't exact anymore — Google includes "close variants" (plurals, misspellings, implied intent). Review search terms report weekly
Broad match needs smart bidding — without automated bidding, broad match burns budget on irrelevant queries
Long-tail keywords have lower CPC but need volume — 100 low-volume keywords won't spend, consolidate into phrase/broad with negatives
Competitor brand bidding is legal but expensive — CPCs are 2-5x higher and Quality Scores stay low. Budget accordingly
Single Keyword Ad Groups (SKAGs) are outdated — Google's algorithm works better with theme-based ad groups of 5-15 related keywords

Quality Score affects CPC exponentially — QS 10 pays ~50% less than QS 5 for same position
Three components: expected CTR, ad relevance, landing page experience. Check diagnostics to know which to fix
Historical CTR matters most — new keywords inherit account-level history. Poor performers drag down new campaigns
Landing page speed is a ranking factor — compress images, remove unnecessary scripts before scaling spend
Ad relevance requires keyword in headline — dynamic keyword insertion ({KeyWord:Default}) is cheap but effective

Manual CPC leaves money on table at scale — switch to automated bidding after 30+ conversions/month
Target CPA too aggressive kills volume — start 20% above actual CPA, tighten gradually
Maximize Conversions without cap spends entire budget regardless of efficiency — always set a target CPA or ROAS
Enhanced CPC (ECPC) is neither manual nor smart — commit to one strategy, ECPC is the worst of both
Bid adjustments stack multiplicatively — +50% device × +30% location = +95%, not +80%

Search and Display in same campaign is always wrong — different intents, different metrics, split them
Brand campaigns should be separate — protect branded terms, track true branded vs non-branded performance
Geographic targeting at campaign level, not ad group — easier budget control by region
Audience layering (observation mode) first — collect data before switching to targeting mode that restricts reach
Shared budgets hide which campaigns would spend more — use individual budgets to understand true demand

Include primary keyword in Headline 1 — ad relevance and CTR both improve
Responsive Search Ads need 8-10 headline variations — algorithm can't optimize with only 3-4 options
Pin critical messaging to position 1 — brand name, key offer, or compliance text that must always show
Call extensions increase CTR 5-10% — add phone number even if calls aren't primary goal
Test exactly one element at a time — headline vs headline, not headline + description + CTA simultaneously

Review search terms weekly, not monthly — irrelevant spend compounds fast
Add negatives at campaign level for broad exclusions, ad group level for specific refinement
Negative keyword match types matter — "free" as phrase negative blocks "free trial" but not "trial free download"
Create a shared negative keyword list — apply learnings across campaigns automatically
Search term "other" category is hidden queries — if it's significant %, request detailed report from rep or use scripts

Last-click attribution hides assist value — at minimum, compare with data-driven attribution
Counting "All conversions" inflates ROAS — filter to primary conversion action for true performance
Phone call conversions need duration minimums — 60 seconds minimum filters spam and misdials
Micro-conversions (email signups) have different values than purchases — set values proportionally
Cross-device conversions are modeled, not tracked — factor uncertainty into ROAS calculations

Search volume has a ceiling — unlike social, you can't pay to reach more people than are searching
Impression Share shows headroom — if IS is 90%+, growth requires new keywords, not more budget
Diminishing returns are real — CPAs increase 20-40% when scaling past optimal volume. Know your efficiency/volume tradeoff
Bing Ads imports Google campaigns directly — 10-15% extra volume at lower CPCs, minimal extra work
International expansion multiplies complexity — separate accounts per market, don't just add countries to existing campaigns

Auto-applied recommendations are opt-out, not opt-in — disable recommendations that conflict with strategy
Smart campaigns hide too much data — use regular campaigns for control and learning
Performance Max cannibalizes branded search — exclude brand terms or track incrementality carefully
Scripts automate repetitive tasks — bid adjustments, budget pacing, negative keyword mining run automatically
Rules-based automation is fragile — "if CTR < 2%, pause" kills potentially good ads too early. Use with caution