Comparison

Agenie vs Daasity

Agenie reads your business and tells you what to do, no analyst required. Daasity is a managed data stack for consumer brands: it centralises your data and builds the dashboards, then your team reads them. Here is the honest, side-by-side version.

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Agenie

Agenie includes the same kind of stack, a managed warehouse, governed metrics and a framework, plus the Genie that reads it and tells you what to do.

Daasity

Daasity gives you the pipelines, the warehouse, the models and the dashboards. Reading them, and deciding, is still your team’s job.

app.agenie.io / boards
An Agenie board with a Genie Summary reading the business: what moved, why, and what to do next
Every board opens with a Genie Summary: what moved, why it moved, and what to do next, read straight from your connected data.
Why Agenie

Built to run your whole business, not just your ad account.

Agenie does not just report your numbers. It diagnoses what is happening, helps you manage it, and proposes the fix, across every part of your business.

Marketing spend Inventory & merchandising Logistics & fulfilment Customer service Retention & LTV Profit & margin

Every answer is built on the Metrics Map, a framework that gives each KPI a job, and tuned to your business with Genie Context, so the analysis fits how you actually operate, not a generic DTC template.

Agenie vs Daasity, side by side

Agenie Daasity
Primary focus Ecommerce decision intelligence, the answer in the product A managed data stack and dashboards for consumer brands
Tells you what to do, not just what happened Dashboards your team reads and interprets
Proactive read of the business (Genie Summary) Dashboards and reports, read on demand
Built-in AI that answers in plain English Genie, on every board Dashboards and SQL, analyst-led
Signals, Drivers, Outcomes causal framework
Right-click any metric for an in-product deep-dive (Ask Genie)
Pre-built ecommerce models 300+ governed metrics Yes, once each source is integrated and transformed
Needs a data analyst to get value No Designed to be run by one
Connecting a source Connect once, then modelled for you Per-source integration, workflow and transform setup
ELT pipelines, custom SQL, full warehouse control Managed for you
Omnichannel: retailer portals, syndicated and wholesale data Core DTC stack
Pricing Flat, from £349/mo, published Quote-only
Time to value Minutes A data project
How Agenie is grounded

Why you can act on what Genie tells you.

You act on these answers, so what matters is whether the tool makes the decision or just organises the data for you.

Daasity is a data stack for consumer brands: ELT from 60+ sources you connect and configure, a warehouse, pre-built models and dashboards. But it is a stack your team sets up and runs, and it stops at the dashboard. Reading what moved, working out why, and deciding what to do is left to you or a data analyst.

Agenie carries it the rest of the way: the same kind of governed ecommerce model, plus a Signals, Drivers and Outcomes chain and your Business Context, plus a Genie that opens every board with what moved, why, and what to do.

Daasity builds the dashboards. Agenie reads them for you.

Ecommerce semantic layer

300+ governed metrics with one definition everywhere. Genie cannot quietly invent a number or redefine MER mid-answer.

Signals, Drivers, Outcomes

Every metric sits in a causal chain. When an outcome moves, Genie checks the drivers, then the signals underneath. That diagnostic order is built in.

Your business context

Your CAC targets, margin guardrails and peak periods, set in plain language across company, team and each source. Genie reasons within your rules.

The difference, in practice

An illustrative example of the same week, read two ways.

Agenie tells you

Agenie tells you without the dig: Meta ROAS down 12%, but blended CAC is flat and LTV:CAC is still healthy. It is creative fatigue, not a spend problem. Refresh the creative before you cut budget, and watch Add-to-Cart Rate as the early warning.

Daasity shows you

Daasity centralises your data and serves a dashboard showing Meta ROAS down 12% this week, ready for your analyst to dig into.

app.agenie.io / ask-genie
Ask Genie returning a full diagnosis with the cause and a recommended action

Agenie decides. Daasity reports.

Agenie reads the business and tells you the move, on every board, the day you connect. Daasity gives you the machinery and you run it: each source is set up, configured and transformed by your team, not one click but an integration, a workflow and transform code per connector, ELT into a warehouse, then models and dashboards on top. Powerful for a big omnichannel brand, but it is a build, and it stops at a dashboard someone still has to read and act on. Agenie is the part that comes after, with the plumbing already done.

No analyst required.

Daasity is built to be operated by a data analyst writing SQL and shaping dashboards. That is the model. Agenie’s Genie is the analyst: it diagnoses what moved, explains why, and hands you the action, grounded in a causal framework and your business context. You get the read without staffing the seat.

A flat published price, not a quote.

Agenie is published flat pricing from £349 a month. Daasity is quote-only, scoped to your channels, sources and volume, and aimed at consumer brands doing 5 to 150 million dollars and up across many channels. It is built for a bigger, more complex data operation. Agenie is built to give a brand answers without one.

Results in 5 weeks on Agenie
20% Conversions
9% ROAS uplift
7% Cost / conversion
5 wks To these results
Jacob Foy Jacob Foy, Founder, Victory & Innsbruck

“Instead of spending hours digging through reports, we can ask questions and quickly understand what is driving performance and where to focus.”

Lee Whitehead Lee Whitehead, MD, Le Col

When Agenie is the clear choice

  • You want decisions, not a data stack to operate.
  • You do not have, and do not want to staff, a data analyst.
  • Your data lives mostly in the core DTC stack, not retailer portals and syndicated feeds.
  • You want a flat, published price instead of a quote.

When Daasity is the better choice

Daasity is built for omnichannel data engineering, and for some brands that is the right call:

  • You are an omnichannel brand with retailer portals, wholesale and syndicated data to unify.
  • You have, or want, a data analyst to own custom SQL and transformations.
  • You want to own the warehouse and plug your own BI tools on top.
  • You are a larger consumer brand across many sales channels and ad platforms.
What you actually pay

A published flat price, or a quote

Agenie From £349 per month, flat and published

Pre-built, no analyst, Genie included. Priced on our pricing page, not behind a sales call.

Daasity Quote only scoped to your data

No public price list. Daasity is sold as a managed data stack, scoped to your channels, sources and data volume, and aimed at larger consumer brands.

Daasity does not publish pricing. Agenie is published flat pricing (Starter £349, Growth £749), billed monthly.

Common questions

Is Agenie a Daasity alternative?

For brands that want answers rather than a data stack to run, yes. If you need deep ELT, custom SQL, your own warehouse and omnichannel data engineering, Daasity is built for that and Agenie is not trying to replace the pipeline layer.

Do I need a data analyst for Agenie like I do for Daasity?

No. Daasity is designed to be operated by an analyst writing SQL and building dashboards. Agenie’s Genie does the diagnosing and recommends the next move, so the value does not depend on having one.

Does Agenie centralise data like Daasity?

Agenie connects your core DTC stack into a managed, governed model out of the box. Daasity goes wider on raw data engineering, including retailer portals, syndicated and wholesale sources, with full warehouse control. Agenie goes deeper on turning the core stack into decisions.

How does pricing compare?

Agenie is published flat pricing from £349 a month. Daasity does not publish pricing; it is quoted as a managed data stack scoped to your channels, sources and volume.

Can I use both?

Yes. Some larger brands run Daasity as the data warehouse and pipeline layer and use Agenie for the decisions on top. Most brands that pick Agenie do so because they want the decisions without operating the stack.

See what moved, why,
and what to do next.

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