Performance Max automates placement, targeting and creative assembly across Google inventory. For ecommerce with high conversion volume it often works well. For Indian B2B with a long cycle and few monthly conversions, the case is weaker than the pitch suggests.
Why volume matters so much here
PMax optimises against a conversion signal. Feed it thirty conversions a month and it has enough to learn from. Feed it four demo requests, and it optimises against noise.
Most Indian B2B accounts sit closer to four than thirty, which is the core reason PMax underdelivers for them regardless of setup quality.
The signal fix, if you run it anyway
- Feed an earlier conversion with more volume, such as qualified form fill rather than closed deal
- Use offline conversion import so the model learns which leads actually closed
- Add a strong audience signal from your customer list rather than relying on discovery
- Exclude your existing customers, or PMax will happily rebuy them
The visibility problem
PMax reports far less than search campaigns about where spend went. For a small budget where every thousand rupees is visible, that opacity is a real cost and not just an annoyance.
The honest recommendation
Get search working first with a proper negative list and offline conversion import. Add PMax when monthly conversion volume can actually train it. Running it early usually funds Google learning rather than your pipeline.
General information, not legal advice. Rules current as of July 2026.