Comparison · Price intelligence platforms

Price Intelligence Platform Alternative

A platform sells you a dashboard and the analytics inside it. We sell you the data. Those are different purchases with different failure modes.

Price intelligence platforms bundle collection, analytics and a dashboard into one product with its own interface, rules engine and alerting. Actowiz sells the collection layer only, delivered into your own warehouse and BI stack. If you do not have an analytics stack, a platform is likely the better purchase. If you do, you may be paying twice.

This is a category comparison rather than a vendor one, because the confusion is usually about category. Teams evaluate a platform and a data feed side by side without noticing they are buying different things.

Run a free comparison See the comparison

Free pilot on your own sources, returned in 24 hours. Delivered in your existing schema so you can diff it against what you have today.

The short version

A price intelligence platform and Actowiz are different products, not competing versions of the same one. This page sets out where each one wins, including where we lose. If the honest answer is that you should not use us, it is on this page.

Where we are the wrong choice →

Our Data Powers

B2C Marketplace

amazon

D2C + Marketplace

NYKAA

D2C + Marketplace

Walmart

FMCG Marketplace

udaan

Food Delivery

Uber Eats

Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

Side by side

Which one fits your situation

A platform bundles collection with analytics and an interface. Whether that bundle helps depends entirely on whether you already own an analytics stack.

Choose them when

A platform is the better fit if…

You have no analytics stack and no plans to build one. A dashboard you can log into on day one beats a warehouse table you have nobody to query. This is the most common case and it genuinely favours a platform.
You need alerting and rule-based workflows out of the box — MAP violation alerts, repricing triggers, assortment gap notifications — and you do not want to build them.
Your users are commercial rather than technical. A category manager wants a screen, not a SQL connection.
You want one vendor accountable for the whole chain from collection to insight. Splitting collection from analytics means two suppliers and one integration you own.
Your requirement matches their standard analytics closely. If their price index is the index you would have built, building it yourself is wasted effort.
You need it working this quarter and you have no engineering capacity. Time to value favours the bundled product decisively.

Choose us when

Actowiz is the better fit if…

You already have a warehouse and BI tool. Buying a second analytics layer to sit beside the one you already run is paying twice for the same capability.
You need to join market data to your own data — your cost, your margin, your sell-through. That join is the analysis, and it happens in your warehouse or not at all.
Your analysis is specific enough that a platform's standard index does not answer it. Custom logic in your own stack has no ceiling; a rules engine does.
You want the data in your schema with your join keys, so it lands next to existing tables without a translation layer.
You need full history you own, exportable and portable, rather than history that lives inside a product you might leave.
You want the collection boundaries stated explicitly — what is null and why — because your analysts need to know where the data stops rather than seeing a smoothed dashboard figure.

Being straight about it

Where we are honestly the wrong choice

This page is written by us, so treat it accordingly. Here is where a platform is the correct purchase and a data feed is not.

Do not buy from us if any of these apply

You have no analytics capability. We deliver data into a stack; if there is no stack, the data sits unused and a platform would have served you far better. This is the single most common reason to choose a platform and we would tell you so on the first call.
You need alerting and workflow out of the box. We deliver data on a schedule; we do not build your alerting layer.
Your users are non-technical and need a screen. We have no interface to give them.
You want one throat to choke from collection through to insight. With us you own the integration and the analysis, which means you own those failures too.
Time to value is your binding constraint this quarter. A platform will be faster and pretending otherwise would waste your time.

Detail

Point-by-point comparison

Bundled platform against collection-only delivery, on the dimensions that decide where your analysis actually happens.

A price intelligence platform versus Actowiz managed service — operational comparison
Consideration	A price intelligence platform	Actowiz managed service
What you buy	Collection plus analytics plus dashboard, as one product	Collection only, delivered into your stack
Where analysis happens	Inside their interface, using their rules engine	In your warehouse and BI tool, using your logic
Data ownership	You access it through their product	You hold the data in your own systems
Joining to your own data	Limited to what their product supports	Unlimited — it is in your warehouse next to your sales and margin data
Custom fields	Constrained by their schema	Your schema, your field names, your join keys
Pricing	Per user, per SKU or per module, typically	Fixed monthly retainer for the collection scope
Time to first insight	Faster — the dashboard exists on day one	Slower — you build the analysis layer
Exit	You lose the interface and often the history	Full historical export, no exit fee

All third-party names and marks are the property of their respective owners. This is our own comparison, is not endorsed by any provider named, and reflects publicly available information as of August 2026. Provider capabilities and pricing change — check their own site for current details, and hold us to the same standard.

Practical next step

How to evaluate this properly, in five steps

How to work out which you need, including the answer that you need neither.

We start from the questions, not the sources
Tell us what decisions the data has to support. If the answer is entirely covered by a standard price index and MAP alerts, we will say a platform is the better purchase rather than quote you.
Schema designed to land in your warehouse
Field names, types and join keys agreed upfront so the data lands next to your existing tables. Delivery to S3, GCS, Azure, Snowflake, BigQuery or an API.
Free pilot on your own SKUs
Within 24 hours, with per-field fill rates and a coverage note. If coverage on your sources is genuinely partial, you will know before committing.
Run alongside a platform if you already have one
Several clients keep a platform for commercial users and take a feed for the analytics team. That is a legitimate architecture, not a contradiction, and we will not argue you out of it.

The 24-hour sample — run on your sources, not ours

Before you switch anything, we run your existing sources in your existing schema and hand you the output. Compare it against what you have today. If ours is not better on the fields you care about, that is a useful answer and it cost you nothing.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Service commitments

What we commit to, in writing

Contractual, not marketing copy. These appear in the engagement document.

Service level commitments written into every managed engagement
Commitment	What we hold ourselves to
Pilot turnaround	A real sample from your own sources within 24 hours of scoping, at no cost.
Go-live	Production collection running within 5–10 business days of sign-off.
Delivery punctuality	99.5% on-schedule delivery, measured monthly and reported to you.
Breakage response	Source layout changes triaged same business day; critical sources inside 4 hours.
Data quality	Schema validation on every run plus sampled human QA before any delivery leaves us.
Escalation	A named engineer and an account owner, not a shared ticket queue.
Change requests	Field additions and source changes handled inside the retainer, not re-quoted.
Exit	Your historical data exported in full on request. No lock-in, no export fee.

Why teams pick Actowiz for this work

Engineers, not a dashboard. You get people who fix breakages, not a self-serve tool you maintain yourself.
We tell you what we can't do. Scope limits and coverage gaps are stated before you sign, not discovered in month three.
QA is part of the service. Schema validation and sampled human review run before delivery, every run.
Compliance is documented. Sources, method and lawful basis written down so your legal team can review them.
Fixed monthly cost. No per-request metering, no surprise overage on a month when a competitor adds SKUs.
Six years, 40+ countries. Long-running production pipelines across retail, travel, mobility and finance.

FAQ

Frequently asked questions

The questions that come up when teams are comparing options.

No, they are different purchases. A platform bundles collection, analytics and an interface; we sell the collection layer. If you have no analytics stack, the platform is straightforwardly the better buy and we would say so.

The case for a feed is when you already have a warehouse and BI tool, because then a platform's analytics layer duplicates capability you are already paying for.

Because most of the valuable questions need both sides. Competitor price is interesting; competitor price against your margin and sell-through is a decision.

That join happens where your own data lives, which is your warehouse. A platform can show you market data beautifully and still cannot put it next to your cost base.

Yes, and several clients do — a platform for commercial users who want a screen, a feed for the analytics team who want tables. It is a legitimate architecture rather than a contradiction.

We will not try to argue you out of a platform that your category managers actually use. Removing a tool people use to save a licence fee usually costs more than it saves.

It depends on how you are charged. Platforms commonly price per user, per SKU or per module, so cost scales with adoption. We quote a fixed monthly retainer for a collection scope, so cost scales with sources and frequency instead.

Which is cheaper depends entirely on your shape. A wide user base on a narrow SKU set favours us; a small team on a huge SKU set may favour them. We will do that arithmetic honestly on a call rather than assert an answer here.

No. We deliver data into your systems and stop there. That is a deliberate boundary, not a gap we intend to fill.

Building an analytics product would put us in competition with the BI tools our clients already own, and we would be worse at it than they are.

You take it. Full historical export on request, no exit fee, and handover documentation covering the schema and collection methodology.

This is worth asking any vendor before you sign, platform or feed. History that lives inside a product you might leave is history you do not own.

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

▶

1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

▶

2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

▶

1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner