Every time someone opens Instagram, Meta runs a real-time auction in milliseconds. The winner is NOT the highest bidder — it's the ad with the highest Total Value Score. Adjust your sliders to see how you rank against competitors.
Your Ad — adjust the sliders
Three Competitors in the Same Auction
High bid, average quality
Medium bid, high quality
Low bid, decent quality
If your ad quality score is low (poor creative, wrong audience, low engagement), Meta penalises you by requiring a higher bid to show your ad. A well-crafted hook and tight audience targeting can literally halve your CPM — without spending more.
CPM = Cost Per 1,000 Impressions. The same audience on LinkedIn costs 5–8× more than on Instagram. Select your targeting profile to see realistic ranges — and understand why the price changes.
Configure Your Targeting Profile
Real-World CPM Benchmarks (EU Markets, 2024)
| Platform | Audience Type | CPM Range | Best for |
|---|---|---|---|
| Instagram / Meta | Broad interest | €4–8 | Consumer apps, lifestyle brands |
| Instagram / Meta | Behavioural | €8–15 | E-commerce, in-market buyers |
| Instagram / Meta | Lookalike 1% | €10–18 | Scaling proven converters |
| Instagram / Meta | Retargeting | €18–35 | Cart abandonment, re-engagement |
| TikTok | Interest-based | €4–10 | Gen Z consumer products |
| Job title / role | €22–50 | B2B SaaS, professional services | |
| Google Display | In-market audiences | €3–8 | High-intent categories |
LinkedIn can target by exact job title, company size, and seniority — data that is almost impossible to get anywhere else. A CFO at a 200-person company is very hard to reach on Instagram; on LinkedIn it is a dropdown. That precision commands a premium. For a student MVP targeting regular consumers, LinkedIn is almost always the wrong choice.
Enter your campaign assumptions and see the full journey from impression to paying customer — and whether your unit economics make sense. Use the CPM you calculated in Module 2.
Campaign Inputs
Your Full Funnel
Sensitivity Analysis — What If?
Improving CTR from 1% to 2% doubles your clicks at zero extra cost — this is a pure hook/creative problem. Improving CVR from 2% to 4% doubles your sign-ups — this is a landing page or onboarding problem. Fix these before scaling budget.
Meta's algorithm needs 50 optimisation events (conversions, sign-ups, clicks) to exit the learning phase. This takes 3–7 days. Every change resets the counter to zero. Simulate both paths below.
Two Campaigns. Same Budget. Very Different Outcomes.
The algorithm found the pattern by day 5. CPA dropped 60% from day 3 to day 10. The team resisted making changes and let the data accumulate.
Changed audience on day 3 ("it wasn't working"), then changed creative on day 6 ("still not working"). The algorithm never exited the learning phase. CAC stayed high the entire time.
Interactive — Make the Decision Yourself
Press Start Campaign to run the 14-day simulation. At any point during the learning phase (days 1–7) you can press Change Settings to see what happens when you react to early volatility. The graph plots your CPA in real time.
What Triggers a Learning Phase Reset
Increasing or decreasing your daily budget by more than 20% forces the algorithm to relearn how to distribute spend at the new level.
Any change to ad copy, headline, image, or video. Even fixing a typo. Create a new ad variant instead of editing the existing one.
Adding or removing interests, changing age range, or switching to a different custom audience. The algorithm must re-learn the new audience.
Switching from lowest-cost to cost-cap or vice versa. This fundamentally changes how the algorithm optimises your spend.
You can add a new creative to an existing ad set without triggering a full reset. The ad set continues learning while testing the new creative.
Short pauses usually don't fully reset learning if you resume within a week. Longer pauses may partially reset the algorithm's data.
The most profitable thing you can do in week 1 is nothing. Set your budget, launch your 3 creative variants, and let the algorithm work. Monitor only after day 7. The discipline to not react to early volatility is one of the clearest performance advantages available to any advertiser — and almost nobody practices it.