TG3 47 SaaS brands scaled and $84M+ in client pipeline generated. See the proof → Free: 20 SaaS calculators, no signup. CAC, LTV, churn, Rule of 40. Open the tools → We rebuild attribution at the warehouse so every channel gets honest credit. See how →
TG3 SaaS/Services/Analytics/AI SaaS
SaaS analytics · AI SaaS

AI SaaS analytics agency built for honest attribution.

AI products get evaluated by two buyers at once, the ML team and the economic buyer, in a category that shifts monthly. We build attribution that tracks which content moved which stakeholder and ties it to pipeline, not vanity signups.

Book the 30-minute audit → What we do
Why it's different

Why AI SaaS analytics plays by different rules.

AI SaaS sells to two buyers in parallel. The ML team vets accuracy and data handling while the economic buyer weighs cost and outcome. Each responds to different content and a single blended attribution number hides which message actually moved the deal.

The factorWhy it changes the play
FactorWhat it means
Hype fatigueEvery product now claims AI. Specific provable outcomes cut through where buzzwords bounce off.
Trust and accuracyBuyers fear hallucination and reliability. Proof of accuracy does a lot of the selling.
Data and security questionsWhere does my data go and is it trained on. Answer that early or lose the deal.
Two buyers at onceThe ML team and the economic buyer both evaluate. Content has to satisfy both.
Fast-moving categoryPositioning shifts monthly. Content dates fast and has to be kept current.
What we do

What a AI SaaS analytics agency actually does.

The goal never changes: attribution you can trust, built in the warehouse, tied to revenue. Here is what a real AI SaaS 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 AI SaaS as one of seven channels, not a side project. Across 47 SaaS brands and $84M+ in client pipeline we've built this for AI SaaS specifically. See the AI SaaS 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 AI SaaS companies that want saas analytics working with the rest of the funnel. See the process or pricing.

Pricing

What AI SaaS 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

AI SaaS analytics questions, answered.

What is AI SaaS analytics?+

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

How much does a AI SaaS 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 AI SaaS?+

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.

How do you market an AI product without the hype?+

We lead with specific provable outcomes and clear answers on data, accuracy and security, because AI buyers in 2026 are skeptical and every competitor claims the same magic.

Agency or in-house for AI SaaS 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 AI SaaS
ABM for AI SaaSContent for AI SaaSCRO for AI SaaSLifecycle for AI SaaSPaid media for AI SaaSSEO for AI SaaS

See which content moves your AI deals.

Blended attribution hides the two-buyer reality. Book a 30-minute audit and we will untangle it. No sales sequence.

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