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SaaS analytics · MarTech

MarTech analytics agency built for honest attribution.

MarTech analytics is scrutinised by buyers who argue about attribution for sport. We build warehouse-clean attribution tied to pipeline and ARR that survives a marketer's measurement critique, not platform numbers they will pick apart.

Why it's different

Why MarTech analytics plays by different rules.

MarTech buyers fight about attribution models in their sleep, so your own measurement is on trial the moment you make a claim. Vague platform numbers get demolished by an audience that knows exactly how they over-count. Analytics here means warehouse attribution clean and honest enough to survive the most measurement-literate buyer in marketing.

The factorWhy it changes the play
FactorWhat it means
You market to marketersYour buyer runs campaigns for a living and spots every tactic. Lazy marketing fails instantly here.
Proof over polishMarketers distrust hype because they sell it. Data, benchmarks and real results carry more than slogans.
Brutal category competitionMarTech is one of the most crowded categories in software. Sharp positioning is survival, not nicety.
Stack and integration fitMarketers ask how it fits the existing stack before anything else. Integrations decide adoption.
Short attention, high standardsThis audience has seen every play. You get one shot to be relevant before they tune out.
What we do

What a MarTech analytics agency actually does.

What changes is the angle, not the craft. Here is what a real MarTech analytics engagement covers.

01

Warehouse foundation

Attribution built in your data warehouse as the single source of record, not platform reports that each claim the same conversion.

02

Multi-touch attribution

Models that credit the whole journey across paid, organic and sales, with the limits stated honestly.

03

Revenue reporting

Dashboards tied to pipeline and ARR, not clicks and sessions, so every spend decision has a revenue line behind it.

04

RevOps and data plumbing

Marketing, sales and customer data joined into one revenue view so the funnel is visible end to end.

05

Spend reallocation

Findings turned into budget moves, shifting dollars off what only looks good and onto what creates pipeline.

06

Forecasting and benchmarks

Models that tie channel inputs to forecast pipeline, with benchmarks you can actually plan against.

Where we fit

Where TG3 fits and where it doesn't.

We run SaaS analytics for MarTech as one of seven channels, not a side project. Across 47 SaaS brands and $84M+ in client pipeline we've built this for MarTech specifically. See the MarTech practice, the case studies or the best SaaS analytics agencies guide.

Where we're not the answer: if you only need a one-off task or a tiny budget, a freelancer costs less. We're built for MarTech companies that want saas analytics working with the rest of the funnel. See the process or pricing.

Pricing

What MarTech analytics costs in 2026.

Pricing tracks scope, not quality. Use these market ranges as a sanity check, then ask any agency to map cost to the pipeline it expects to create.

Typical 2026 monthly rangesMarket context, not a quote
Engagement typeTypical monthly rangeBest for
Analytics audit and setup$10,000 to $20,000Standing up attribution and dashboards
Ongoing analytics and RevOps$18,000 to $45,000Running attribution and reallocation
Full RevOps build$35,000 plusWarehouse and the full revenue stack
FAQ

MarTech analytics questions, answered.

What is MarTech analytics?+

It's marketing and revenue analytics built for MarTech companies, with attribution in your warehouse tied to pipeline and ARR rather than platform-reported clicks.

How much does a MarTech analytics agency cost in 2026?+

An audit and setup runs $10,000 to $20,000 a month. Ongoing analytics and RevOps runs $18,000 to $45,000 and a full warehouse build starts around $35,000.

How long until analytics pays off for MarTech?+

Setup takes a few weeks. The real payoff lands the first time the data changes a spend decision, usually within a quarter once attribution exposes what truly drives pipeline.

Warehouse or platform attribution?+

Warehouse, every time. Platform numbers double-count because each ad network claims the same conversion. A warehouse gives one source of record the whole team can trust.

Why specialise in MarTech marketing?+

In MarTech you are marketing to marketers who run campaigns daily and spot every tactic. A specialist knows proof beats polish here, where generic marketing fails in front of the toughest possible audience.

Agency or in-house for MarTech analytics?+

An agency brings attribution modelling and RevOps skill on day one. In-house owns it long term. Most teams stand the system up with an agency then run it in-house.

More SaaS marketing for martech

See where your MarTech funnel leaks.

You are marketing to the toughest audience there is, marketers who spot every tactic. Book a 30-minute audit and we will find where your funnel loses them. No sales sequence.

Book the audit call
6 SaaS engagements a quarter · 47 brands scaled · $84M+ pipeline