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/EdTech SaaS
SaaS analytics · EdTech SaaS

EdTech SaaS analytics agency for privacy-safe data.

EdTech analytics has to attribute a long, seasonal cycle while respecting student-data privacy. We build warehouse attribution that credits the buyer journey and stays compliant, tied to pipeline not loose tracking.

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

Why EdTech SaaS analytics plays by different rules.

EdTech analytics fights two problems at once: cycles span an academic year so short attribution windows miss the deal and student-data privacy limits how loosely you can track. The work is privacy-conscious warehouse attribution that credits a long seasonal journey and ties marketing to pipeline without mishandling sensitive data.

The factorWhy it changes the play
FactorWhat it means
Split buyer and userThe buyer (admin, district or teacher) is rarely the end user (student). You market to both at once.
Budget cycles ruleEducation budgets are seasonal and tight, tied to academic and fiscal years. Timing is a channel.
Outcomes and evidenceBuyers want proof of learning outcomes and engagement, not feature lists. Efficacy data sells.
Long institutional cyclesDistricts and institutions buy slowly through committees and pilots. Patience and references matter.
Trust and safetyStudent data and safety are sensitive and regulated. Privacy answers gate adoption.
What we do

What a EdTech SaaS analytics agency actually does.

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

Pricing

What EdTech 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

EdTech SaaS analytics questions, answered.

What is EdTech SaaS analytics?+

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

How much does a EdTech 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 EdTech 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.

Why specialise in EdTech marketing?+

EdTech splits the buyer (admin or teacher) from the user (student), runs on seasonal budgets and sells on learning outcomes. A specialist markets to both audiences and to the budget calendar, where a generalist misses both.

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

See where your EdTech funnel leaks.

EdTech sells to the buyer on outcomes and timing, not to the student. Book a 30-minute audit and we will find where your funnel loses a decision-maker. No sales sequence.

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