Track multi-channel advertising performance, calculate ROAS, optimize attribution models, and maximize your marketing spend efficiency.
ROI (Return on Investment) measures profit: ((Revenue - Cost) / Cost) × 100. ROAS (Return on Ad Spend) measures revenue efficiency: Revenue / Ad Spend. Example: $100 ad spend generates $300 revenue with 30% margin = 200% ROI (profit of $90-$100 = -$10, so actually negative!) but 3.0x ROAS. ROAS is simpler but ignores profit margins; ROI is more accurate for profitability.
ROAS benchmarks vary: E-commerce (3-4x), SaaS (5-7x), B2B services (4-6x), Lead generation (5-10x). However, what matters most is your LTV:CAC ratio. A 2x ROAS can be excellent if you have high margins and lifetime value, while a 5x ROAS might be poor if margins are thin.
It depends on your customer journey: First-touch (awareness campaigns, long sales cycles), Last-touch (simple funnels, direct response), Linear (equal credit to all touchpoints), Time-decay (recent touchpoints more valuable), Position-based (40% first, 40% last, 20% middle). For most businesses, linear or position-based provides the fairest view. Use data-driven attribution if you have sufficient conversion volume (500+/month).
CAC = Total Marketing & Sales Spend / Number of New Customers Acquired. Include all costs: ad spend, agency fees, creative production, tools/software, salaries (proportional). Track CAC by channel to identify most efficient sources. Payback period = CAC / Monthly Customer Value (should be < 12 months for healthy growth).
3:1 is the minimum for healthy unit economics. 5:1+ is excellent and indicates room to scale spend. Below 3:1 means you're overspending on acquisition or not retaining customers long enough. To improve: increase LTV (upsells, cross-sells, retention) or decrease CAC (better targeting, creative, landing pages).
Scale when: (1) LTV:CAC ratio > 3:1, (2) Payback period < 12 months, (3) ROAS consistently above target for 30+ days, (4) Incrementality tests show ads drive net new revenue. Scale gradually (20-30% increases) and monitor for audience saturation (rising CPMs, declining conversion rates).
Incrementality measures revenue that wouldn't have occurred without ads. Many conversions would have happened organically. Run holdout tests: withhold ads from a control group and measure the difference. If your organic conversion rate is 2% and paid is 3%, only 1% is incremental. This prevents overestimating ad impact and wasting budget.
Focus on contribution margin (revenue × profit margin - CAC) rather than revenue. Example: Product A has $100 revenue, 20% margin, $15 CAC = $5 profit. Product B has $80 revenue, 40% margin, $10 CAC = $22 profit. Product B is 4x more profitable despite lower revenue. Optimize bids for profit targets, not revenue targets.
Controversial topic. Arguments for: protects brand from competitors, improves SERP real estate, captures high-intent traffic. Arguments against: most brand clicks would happen organically (low incrementality), inflates ROAS metrics. Run incrementality tests to determine true value. If competitor bidding is aggressive, brand defense is often worth it.
Use call tracking numbers (unique per channel), promo codes (e.g., "RADIO20"), customer surveys ("How did you hear about us?"), and marketing mix modeling (MMM) to correlate ad spend with offline sales. For local businesses, track store visit conversions using Google/Facebook location-based attribution. Expect 20-40% attribution error for offline channels.
We were overspending on TikTok (1.8x ROAS) and underinvesting in Google Ads (4.2x ROAS). This calculator showed us exactly where to reallocate budget. After shifting $50K from TikTok to Google, our blended ROAS increased from 2.4x to 3.1x. ROI up 40% in 3 months.
The multi-touch attribution modeling was a game-changer. We were using last-touch and LinkedIn looked terrible (2.1x ROAS). Switching to position-based attribution revealed LinkedIn's true value in the consideration phase. Now we allocate 30% of budget there and our LTV:CAC improved from 2.8:1 to 4.5:1.
This is the most comprehensive advertising ROI tool we've found. The incrementality insights saved us from scaling Display (high attributed conversions, low incrementality). We cut Display by 60% with minimal impact on true conversions. Redirected budget to high-incrementality channels and grew 35% YoY.