Rudra
@git_rudra
Google and Youtube ads for ECOM Brand Owners | Let's scale your brand!
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Added $417K in new revenue for an eCom brand in 75 days using Google Ads. → All non-brand → Cold traffic only → 15x ROAS If you’re not scaling cold, you’re not really growing. Free audit if you want to hit the same level. #GoogleAds #ecommerce #ppc
If you’re not using conversion-based customer lists in Google Ads, you’re leaving serious performance on the table. Pair them with Enhanced Conversions - this combo is gold. To enable it: Admin → Account settings → Customer Match → Turn on customer match lists
Scaling isn’t about spending more. It’s about spending smarter. From Jan-Jun 2025, I helped a brand unlock hidden potential in Google Ads: ROAS: 461% (+92%) Revenue: £302K (+177%) Conversions: 6.47K (+187%) Ad Spend: £65.4K (+121%) The takeaway? Strategy beats spend
The biggest fear for founders isn’t competition. It’s a failure. Losing money, their home, or letting their team down. That’s why I treat every ad dollar like it’s my own. Every cent must work.
Most advertisers mess this up: 1. They set audiences to targeting instead of observation. That kills scale. Use keywords + observation audiences to get reach and insights. 2. They play with 5–10% bid tweaks. Pointless. If you’re making bid adjustments, make them bold enough.
In just 30 days I doubled sales for this brand with a 45% ROAS boost (now at 4.4x). The strategy? 100% focused on new customer growth - and YouTube Ads was the game changer. 👉 Want growth like this? Let’s talk.
Most brands barely scratch the surface on Google Ads reaching maybe 15% of their real market. Even in ‘slow’ seasons, there’s still a massive pool of untapped buyers. That’s why doubling or tripling revenue isn’t rare it’s what happens when you unlock the rest of the market
Early on, it’s fine to let Google test all your products. It helps the algo find potential winners. But leave it on autopilot → your budget gets drained by products that will never scale. Smart brands double down on winners. Others keep funding losers.
What looks like “healthy profitability” often hides the real power of PMax. Its job isn’t to scoop up branded sales. It’s to uncover demand you didn’t know existed. Searches you’d never target manually. That’s why I treat PMax with one role only: Exploration.
Google Ads ≠ just running Shopping campaigns. Truth in 2025 👇 Google automates everything (PMax, Smart Bidding) Edge = your data + structure KPI = NCAC + LTV (not just ROAS) Most brands don’t get this. That’s why they burn cash.
Your titles tell Google what your product is. They also tell Google which searches to show it for. Here’s the problem: The highest-converting search terms usually aren’t in your titles. Fix that → better traffic → better ROAS.
Most eCom brands lose money on Google Ads because they jump into broad match too soon. Broad match only works after Google has enough conversion data. If you’re spending under ~$10k/month, it’s just burning cash. Start narrow. Train the algo with clean data. Then scale.
Scaling w/out a fallback = roulette in Google Ads. For eCom, it can tank performance below baseline. Fallback levers I use: • Standard Shopping backup • Search/DSA safety net • Margin-based budget splits Scale w/ safety nets, not blind bets.
Account history ≠ performance. Insight does. I’ve revived paused campaigns to beat new builds by: fixing conversion goals (quality-only) tightening negatives & query mapping resetting bidding targets to match margin/LTV segmenting budgets by profit Don’t rebuild by habit.
2025 = rising CPMs + CPCs → higher CAC. Brand owners can’t just chase ROAS anymore. You need a profitability-based ad setup: Margin LTV Bottom-line impact Scale is irrelevant if it isn’t profitable.
EU advertisers spending 10k+/mo: Run Shopping Ads via CSS. → 10–20% CPC reductions in auction → More room to scale → Low-effort, high-leverage move No reason to leave this on the table.
Feed duplication in Shopping Ads = fast scale But… it drags in irrelevant traffic over time. The only way to make it work long-term? A strong negative keyword game.
In Demand Gen, Platform Comparable Conversions = 100% attribution if an impression was seen. Good as a lead indicator, not a profitability metric. Don’t mistake it for true ROAS.
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