ValuePropForge: B2B SaaS Outcome-Based Messaging Generator

the money one hits harder tbh. hours saved is fuzzy, most teams dont price their own time. i'd lead with the 3-6k and keep the 100 hrs as the proof line under it. using both usually just reads vague ngl

Saving time and money is usually a nonstarter for any product. People don't care about how they get there, nor do they want to talk about it. They care about where they're going. Why do people do competitive research? Presumably to improve their market position. So you want to be *better,* with faster/cheaper the cherry on the sundae. "With CompAI, you know what features are going to crush the other guys." That's also going to attract much better customers.

Neither of those is the value prop yet. Both are efficiency claims about an activity, and nobody in a mid-market SaaS org has "hours spent on competitor research" as a number they are judged on. The person you are selling to is judged on things like win rate against a named rival, losing deals on price they should have won, or being blindsided in a renewal conversation. So I would test the third framing rather than pick between the two you have. Something built around the decision, not the labour. Where the current message is "you will spend less time researching", the stronger one is closer to "your reps stop guessing what the other vendor is telling your prospect". That is a consequence someone will defend in a budget meeting; a saved-hours figure gets nodded at and cut. Practical notes on the two you drafted. The 100 hours version is unfalsifiable and every tool in your category claims some variant of it, so it does not separate you. The pounds figure is more concrete but you are converting time into money at staff cost, which the buyer reads as a soft saving because nobody is being let go. Cost avoidance without a headcount change rarely closes. One more thing that will teach you more than an A/B test at this stage: go back to whoever already uses it and ask what specifically prompted them to look for something like this. Not what they like about it, what happened the week before they started searching. Buyers describe the trigger in their own words, and that language usually turns out to be the value prop you were trying to guess.