Dashboards
Show you what happened. They don’t tell you what to do next.
PARBAT PRIVATE BETA
Find the two price changes worth making this month. Prove they worked.
Parbat looks across your catalog — traffic, conversion, margin, inventory, price history — and tells you which specific price moves are worth making, what each one is likely worth, and how confident we are. You approve every change before it ships. Then we measure what actually happened against what we projected, and show you both.
Apply for the beta8 weeks, free. 8 Shopify brands. You approve every price change.
THE PROBLEM
Pricing is the fastest lever you have. It’s also the one you’re guessing at.
A 1% price increase moves operating profit by roughly 9%. Most brands still set prices by feel, copy a competitor, or leave a bestseller untouched for two years because nobody wants to be the one who broke it.
Competitor repricers
Tell you what someone else charges. That’s not what your customers will pay.
A/B testing
Needs roughly 300 orders per group over three to four weeks. On 150 SKUs, that leaves about 146 untested.
So the decisions get made anyway, just without evidence.
WHAT PARBAT DOES
We do the analysis before the customer sees the price, not after.
01
We find the opportunities
Parbat reads traffic, conversion, margin, inventory, price history to surface where the money is actually sitting. Usually it’s not where people expect.
02
We estimate what each move is worth
Every opportunity includes projected revenue and gross-profit impact, a confidence level, and the reasoning behind it. Where the data isn’t strong enough, we say so.
03
You decide
Nothing ships without your approval. No automatic changes, surge pricing, or per-customer pricing — just a short list of deliberate moves.
04
Then we check our work
After a move ships, we compare what actually happened with what we projected — including the times we were off. That’s how you learn what to trust.
THE BETA
Eight brands. Eight weeks. Free.
What you get
Full access for eight weeks. A whole-catalog opportunity analysis in week one. Two to four evidence-backed price moves, each approved by you. Realized-versus-projected measurement shared in full. Direct founder access. A pre-agreed continuation price at 50% off for your first year.
What we need
About two hours in week one for onboarding, margin and COGS data, constraints, and your pricing context. Roughly 30 minutes a week after that. Permission to use anonymized outcomes. If results are good: an approved case study and a reference call or two.
No credit card. No auto-billing. If you want out at week eight, you’re out.
This is a narrow beta, and it won’t suit everyone.
A good fit if you
- Do $2M–$20M a year on Shopify.
- Have 15+ products that each take 20+ orders a month. (Roughly 1,500+ product-page sessions each, if traffic’s easier to check — but orders is the number that matters.)
- Run 40%+ gross margin on the products you’d want us to work on.
- Have changed prices on a meaningful part of the catalog, more than once — not one site-wide sale.
- Do 80%+ of your revenue through your own Shopify storefront.
- Have cost-per-item filled in for most of your catalog — or are willing to spend an hour adding it in week one.
- Can decide on pricing without a three-month process. The beta fits exactly two decision rounds; a slow first approval costs you one of them.
- Have wondered whether a bestseller is underpriced — and are open to hearing that something is overpriced. A good share of what we find is a markdown.
Probably not a fit if you
- Do under $1M a year.
- Run thousands of thin-traffic SKUs. (A focused catalog is fine at any size — we work on the head, not the tail.)
- Run under ~25% gross margin. At that level we can only ever raise prices, and that’s half a product.
- Compete mainly on being cheapest. Make most revenue on Amazon or wholesale. Grow primarily through constant discounting.
If you’re on the edge, apply anyway and say so. We’d rather tell you honestly than waste your time.
What people ask us first
Almost certainly not, and that’s deliberate. We’re not doing surge pricing or showing different prices to different people. We’re talking about a handful of considered price changes a month — the difference is that these ones have evidence behind them.
You’ll know quickly because we’re measuring, and you can revert in one click. During the beta we’ll be conservative by design — three moves we’re confident in are better than ten we’re not.
Price changes propagate with the change. Matching displayed, landing-page, and checkout prices is a hard requirement, not an afterthought.
That’s exactly what this beta is for. We have one design partner in production and early results we’re happy with. We’ll share the accuracy number as it develops, including if it’s worse than we hoped.
Not in this beta. Subscription pricing affects existing cohorts as well as new customers. One-time-purchase SKUs only for now.
It stays yours. Anything we publish is anonymized and aggregated, and any named case study needs your written sign-off first.
No. Intelligems is good at what it does. But it needs real customers and several weeks per test, limiting how much of a catalog it can cover. We’re built for the rest of it.
Two people, one product, direct line
Farrukh Zaman
Built production platforms at Cisco and Salesforce. Changing prices on a live store is a systems-trust problem before it’s a modeling problem — rollback, feed sync, failure modes at load — and that’s the work he’s done for years.
Zahara Malik
Comes from Dynata and Ipsos, where measuring how people actually respond to things — rather than what they say they’ll do — was the entire job.
We’re building Parbat because pricing is the highest-leverage decision in commerce and almost nobody has good evidence when they make it.
Apply for the beta
Seven questions, about three minutes. We reply to everyone within two business days, including the nos.
We’re taking eight brands. If we’re full or you’re not a fit, we’ll say so plainly rather than leave you waiting.
Not ready to apply?
We’ll run a free pricing opportunity analysis on your catalog and send you the one-page read. No install, no call, no obligation — just the analysis.
Request the free analysis