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 →
SaaS analytics · SalesTech

SalesTech analytics agency built for honest pipeline.

SalesTech analytics has to survive a buyer who lives in quota math. We build warehouse attribution that ties marketing to pipeline and ARR, clean enough to stand up to a RevOps leader who distrusts soft numbers.

Why it's different

Why SalesTech analytics plays by different rules.

SalesTech buyers live in dashboards and quota math, so your own attribution had better be airtight. They will not believe vague marketing numbers for a second, they audit pipeline for a living. Analytics here means warehouse-clean attribution tied to revenue that survives the scrutiny of the most numbers-literate buyer in software.

The factorWhy it changes the play
FactorWhat it means
Buyers sell for a livingYour buyer negotiates all day. Weak positioning and soft claims get cut apart on the first call.
ROI is the only languageSalesTech is bought on pipeline and quota impact. Every claim has to ladder to revenue, not features.
Crowded, fast-moving categoryNew entrants every quarter and heavy ad spend. Differentiation has to be sharp or you blend into the stack.
Integration is the moatBuyers ask what it connects to before what it does. CRM and stack fit decide deals.
Fast cycles, high churn riskSales tools get ripped out fast if they do not show value. Onboarding and proof have to land early.
What we do

What a SalesTech analytics agency actually does.

What changes is the angle, not the craft. Here is what a real SalesTech 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 SalesTech as one of seven channels, not a side project. Across 47 SaaS brands and $84M+ in client pipeline we've built this for SalesTech specifically. See the SalesTech 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 SalesTech companies that want saas analytics working with the rest of the funnel. See the process or pricing.

Pricing

What SalesTech 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

SalesTech analytics questions, answered.

What is SalesTech analytics?+

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

How much does a SalesTech 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 SalesTech?+

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 SalesTech marketing?+

SalesTech buyers are sales pros who see through soft positioning and buy purely on pipeline impact. A specialist speaks ROI and stack-fit fluently, where a generalist gets cut apart on the first call.

Agency or in-house for SalesTech 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 salestech

See where your SalesTech funnel leaks.

SalesTech buyers are the toughest in B2B and the category is brutal. 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