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watch the full video on our youtube channel - AI and software automation are incredibly useful for PPC optimization. PPC is essentially data analysis at scale, and AI-powered tools can significantly enhance this process. #PPCoptimization #AItools
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Most of the businesses run Google ads but they don't fulfill the customers' urgency. if you run Google ads then always try to match the customers urgency in your ads copy. If you need help DM me. #ppc #ppcoptimization #ppcads #googleads #googleadsoptimization
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Where is your ad budget going? | If you can't answer confidently, you're probably wasting money. | Common leaks: → Irrelevant clicks → Poor targeting → No conversion tracking | Stop the bleeding. | → tweakedsem.com/get-started/ | #PPCOptimization #WastedAdSpend
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How you manage this morning decides how you close this week. 📉 Weekend sales dip or spike? 📊 Lost impression share? ⛔ Kill the ads that aren't working 💵 Set daily budgets before you spend #AmazonSellerTips #PPCOptimization #BWMAudit #ScaleOrStall #EcommerceStrategy
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We’re going live to optimize real Google Ads accounts in real time. 🚀 Selected businesses receive a free PPC audit, live on screen, with actionable fixes applied week after week so results are visible, not theoretical. 📅 Every Wednesday | ⏰ 12:00 PM (Central Time) If you want transparent, data-backed Google Ads optimization, this live series is where it happens. youtube.com/watch?v=-MSbv-92… Keywords: Google Ads live audit, PPC optimization live, Google Ads campaign audit, PPC strategy, paid search optimization, Google Ads expert, live PPC audit, weekly Google Ads optimization #GoogleAds #PPCAudit #LiveMarketing #PaidSearch #PPCOptimization #DigitalMarketing #GoogleAdsLive
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Is your ad account leaking money? We have the plug. "I’m spending money on Google/Facebook, but I’m not seeing the returns." If that’s you, your PPC campaign has leaks. At DYB Africa, we don't believe in vanity clicks or brand awareness that doesn't convert. We believe in Zero-Waste Ad Spend. We utilize surgical PPC Optimization Techniques to ensure your budget is treated with the Data Sovereignty it deserves. We don't just set an ad and walk away. We constantly: 🚫 Block Negative Keywords that drain your budget on irrelevant traffic. 🎯 Optimize Bids based on user behavior and peak conversion times. ⚔️ Kill Non-Performing Ads that generate likes but no leads. We don’t just run your ads; we engineer your ROI. We stop the leaks and reinvest every kobo into finding your ideal, high-value customers. Don't just spend on ads. Invest in an engineered revenue engine. Ready to stop the leaks and start scaling? 📥 DM us "OPTIMIZE" for a free audit of your current ad account. 📞 09034621548 🌐 dybafrica.com #PPCOptimization #GoogleAds #FacebookAds #ROI #DYBAfrica #DataDrivenMarketing #ZeroWaste #BusinessGrowth #NigeriaTech #MarketingStrategy
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Most PPC audits start at the bid level. That's why they fix nothing permanently. Here are the 5 layers I go through before touching a single bid 👇 Layer 1 — Campaign Architecture Integrity Before anything else I map the entire account structure. How many campaigns. How many ad sets. What match types live where. I'm looking for three things specifically. Match type contamination — broad, phrase and exact mixed inside single ad groups. Auto and manual campaigns targeting identical ASINs simultaneously. SP, SB and SD overlap on the same core keyword set. If the architecture is broken everything built on top of it is unreliable data. Bids are irrelevant until structure is clean. Layer 2 — Attribution Pollution Pull the attribution windows across every active campaign type. SP, SB and SD all report conversions differently. If the same purchase is being claimed across multiple campaign types the ACOS figures in the dashboard are mathematically misleading. I calculate blended true ACOS manually before forming any opinion on account performance. One number. All spend. All revenue. No attribution overlap. That's the real baseline. Layer 3 — Keyword Cannibalization Mapping Export every active keyword across every campaign into a single master sheet. Cross reference for duplication. Same keyword. Multiple campaigns. Multiple match types. Multiple bids. Each duplicate is an active auction where you are competing against yourself. I map every instance before touching a single bid because cannibalization inflates CPCs account wide. Fixing bids without fixing cannibalization is rearranging deck chairs. Layer 4 — Negative Keyword Infrastructure Most accounts I audit have spent 12 to 18 months generating search term data. And done almost nothing with it. I pull every search term report available and run a full irrelevance audit. Not just obvious mismatches. I'm looking for high spend low CVR terms that look relevant but don't convert for this specific ASIN. These are the most dangerous keywords in the account. They consume budget quietly. They look defensible. They never convert. Negative exact match at campaign level. Immediately. Layer 5 — Organic vs Paid Keyword Overlap Analysis Final layer before I touch anything. Cross reference active PPC keywords against current organic ranking positions using Brand Analytics and SQP data simultaneously. If a keyword is already ranking organically in position 1 to 4 — aggressive paid bidding on that term is expensive and largely redundant. Reduce bid. Protect the rank. Reallocate budget to keywords where organic footprint is weak and paid support is actually needed. This single layer alone typically frees 20 to 30% of wasted budget in every account I audit. Only after all five layers are mapped do I open the bid management tab. Because now every bid decision is built on clean data. Not assumptions. Most PPC managers skip straight to bids because it feels like action. Real optimization starts long before that. #AmazonPPC #PPCOptimization #AmazonFBA #AmazonAds #EcommerceStrategy
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Your competitor's keyword strategy is already public. Most sellers never look. Here's how I reverse engineer it completely using Share of Voice data 👇 First. Understand what SOV is actually measuring. Brand Analytics Search Frequency Rank tells you which keywords have the highest purchase volume in your category. Click and conversion share tells you which brands are dominating those keywords. Combined — it's a complete map of where your competitor is winning and exactly how hard they're fighting to stay there. Step 1 — Identify their top 10 keywords by click share. Filter Brand Analytics by your category. Sort by Search Frequency Rank. Find every keyword where your competitor holds top 3 click share position. That's their core keyword universe. Those are the terms their entire PPC architecture is built around. Step 2 — Cross reference conversion share vs click share. High click share. Low conversion share. They're buying traffic on that keyword aggressively but not converting efficiently. Their creative or listing is weak on that term. Your opportunity to undercut their bid and outconvert them. High click share. High conversion share. They own that keyword completely. Bidding against them directly is expensive. Find the long tail variations they're ignoring instead. Step 3 — Find the gap keywords. High Search Frequency Rank. No dominant click share leader. This is an unconsolidated keyword. No brand owns it yet. This is where you attack first. Lower competition. Lower bids. Real ranking opportunity. Step 4 — Track SOV movement weekly. If a competitor's click share on a core keyword suddenly drops — they cut budget, lost ranking or changed strategy. Move immediately. Increase bids on that exact keyword. Capture the organic and paid vacuum they left behind. If their SOV is growing week over week on a keyword you care about — they're in an aggressive ranking push. Don't outspend them. Outflank them. Target the adjacent keywords they're ignoring while focused on their main push. The insight most agencies completely miss: SOV data doesn't just show you where competitors are strong. It shows you where they're vulnerable. And in PPC — attacking vulnerability is always more profitable than matching strength. Your competitor already did the hard work of identifying which keywords convert in your category. Brand Analytics just hands you the answer. Most sellers never open it. #AmazonPPC #PPCOptimization #AmazonFBA #BrandAnalytics #EcommerceStrategy
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Your competitor's keyword strategy is already public. Most sellers never look. Here's how I reverse engineer it completely using Share of Voice data 👇 First. Understand what SOV is actually measuring. Brand Analytics Search Frequency Rank tells you which keywords have the highest purchase volume in your category. Click and conversion share tells you which brands are dominating those keywords. Combined — it's a complete map of where your competitor is winning and exactly how hard they're fighting to stay there. Step 1 — Identify their top 10 keywords by click share. Filter Brand Analytics by your category. Sort by Search Frequency Rank. Find every keyword where your competitor holds top 3 click share position. That's their core keyword universe. Those are the terms their entire PPC architecture is built around. Step 2 — Cross reference conversion share vs click share. High click share. Low conversion share. They're buying traffic on that keyword aggressively but not converting efficiently. Their creative or listing is weak on that term. Your opportunity to undercut their bid and outconvert them. High click share. High conversion share. They own that keyword completely. Bidding against them directly is expensive. Find the long tail variations they're ignoring instead. Step 3 — Find the gap keywords. High Search Frequency Rank. No dominant click share leader. This is an unconsolidated keyword. No brand owns it yet. This is where you attack first. Lower competition. Lower bids. Real ranking opportunity. Step 4 — Track SOV movement weekly. If a competitor's click share on a core keyword suddenly drops — they cut budget, lost ranking or changed strategy. Move immediately. Increase bids on that exact keyword. Capture the organic and paid vacuum they left behind. If their SOV is growing week over week on a keyword you care about — they're in an aggressive ranking push. Don't outspend them. Outflank them. Target the adjacent keywords they're ignoring while focused on their main push. The insight most agencies completely miss: SOV data doesn't just show you where competitors are strong. It shows you where they're vulnerable. And in PPC — attacking vulnerability is always more profitable than matching strength. Your competitor already did the hard work of identifying which keywords convert in your category. Brand Analytics just hands you the answer. Most sellers never open it. #AmazonPPC #PPCOptimization #AmazonFBA #BrandAnalytics #EcommerceStrategy
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Your SQP and search term report will never match. Most sellers panic when they see the gap. Smart ones mine it for intelligence 👇 First. Understand why the gap exists. SQP shows you where Amazon placed your listing in search results and whether customers clicked or converted on that query. Search term report shows you what triggered your ad and whether you paid for that click. Two completely different data sets. Two completely different questions being answered. Conflating them is where the analysis breaks down. Here's what the gap is actually telling you: High SQP impressions. Zero search term report data. Your listing is indexing organically on that keyword. Amazon is showing you. But your campaigns aren't capturing it. This is your exact match bid opportunity. Immediately. High search term report spend. Zero SQP presence. You're paying for clicks on a keyword where your organic footprint doesn't exist yet. Your campaign is running ahead of your relevance score. Either build relevance through ranking campaigns first or cut the spend until organic catches up. Keyword appears in both. CVR gap between them is significant. Your ad creative and your listing are telling two different stories. Customer clicks the ad. Landing page doesn't match the intent. Conversion drops. This is a listing optimization problem disguised as a PPC problem. The metric nobody pulls: Cross reference your SQP click concentration with your search term report conversion rate on the same query. If Amazon is sending organic traffic to a keyword and your paid CVR on that same keyword is low — your bid is attracting the wrong placement type. Adjust placement multipliers before touching the bid. What this means for keyword strategy: SQP is Amazon telling you where you have organic authority. Search term report is Amazon billing you for where you don't. The gap between them is your entire PPC strategy. Harvest from the search term report. Validate against SQP. Build campaigns around keywords where both signals align. That's where your lowest ACOS and highest ranking velocity live simultaneously. Most agencies never pull both reports in the same analysis. That's exactly why their audits miss the most valuable opportunities in the account. #AmazonPPC #PPCOptimization #AmazonFBA #AmazonSeller #EcommerceStrategy
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We’re going live to optimize real Google Ads accounts in real time. 🚀 Selected businesses receive a free PPC audit, live on screen, with actionable fixes applied week after week so results are visible, not theoretical. 📅 Every Wednesday | ⏰ 12:00 PM (Central Time) If you want transparent, data-backed Google Ads optimization, this live series is where it happens LINK: youtube.com/watch?v=uPWpUxt1… Keywords: Google Ads live audit, PPC optimization live, Google Ads campaign audit, PPC strategy, paid search optimization, Google Ads expert, live PPC audit, weekly Google Ads optimization #GoogleAds #PPCAudit #LiveMarketing #PaidSearch #PPCOptimization #DigitalMarketing #GoogleAdsLive
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I charged a client $2,000 to delete half their campaigns. Best money they ever spent. Here's what I found 👇 Campaign structure was a disaster. Broad, phrase and exact all dumped into single ad groups. Keyword harvesting never happened. Auto campaigns bleeding into manual on the same ASINs. Placement multipliers untouched since launch. The data was completely polluted. So I started over. Properly. Rebuilt around SKAGs for top 5 converting ASINs. Isolated branded vs non-branded into separate portfolios. Set auto campaigns to dynamic bids down-only strictly for search term mining. Moved every proven converter to fixed bids on exact match only. Then the real work. Six months of search term reports audited in one sitting. Negative exact match applied at both campaign and ad group level. Competitor ASIN targets separated into their own SP campaigns with individual bid controls. Dayparting adjusted based on actual conversion window data pulled from the brand analytics report. Placement multipliers rebuilt from scratch. Top of search was converting at 14%. Product pages at 3.8%. Yet bids were identical across both. That's where the money was disappearing. Same budget. Completely restructured. ACOS 67% → 21% in 34 days. TACoS dropped. Organic velocity picked up on core keywords. Most accounts don't need more spend. They need someone who actually reads the data. #AmazonPPC #PPCOptimization #AmazonFBA #AmazonAds #EcommerceStrategy
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Your PPC isn’t broken. Your structure is. Most sellers pour budget into campaigns that were never built to win. Here’s what actually works: Stop over-complicating match types → Broad finds. Phrase filters. Exact converts. → One job each. Never mix them. Auto campaigns are not your sales engine → Mine them for search terms → Move winners to manual. Immediately. Negatives = free money → Every irrelevant click is profit leaving your account → Audit weekly. No exceptions. Placement data is gold nobody checks → Top of search CVR vs product pages are two different businesses → Adjust multipliers accordingly Bid on data. Not hope. → No conversions after 2x CPA? Cut it. → Low ACOS, high CVR? Scale it. → Everything else? Test it. The best PPC accounts aren’t the ones with the biggest budgets. They’re the ones with the least waste. Clean structure. Tight negatives. Weekly audits. That’s it. #AmazonPPC #PPCOptimization #AmazonFBA #AmazonAds #EcommerceStrategy
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3/3 Sortext enhances: Precision offers for ~5% about-to-bounce visitors, supercharging your ROAS. Ready to maximize ad returns? What's your go-to ROAS tactic? Drop it below! 👇 #Sortext #PPCOptimization #EcommerceRevenue
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2/4 Sortext fixes the conversion hole: AI detects exit intent & delivers tailored, time-limited offers. Doubles conversions 15-20% AOV/revenue uplift! 📈 #EcommerceRevenue #PPCOptimization
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4/4 Sortext enhances: Precision offers for ~5% bounce-risk users, turning ad traffic into real sales. Struggling with ad conversions? What's your biggest pain point? Drop it below! 👇 #Sortext #PPCOptimization
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