Factors.ai · GTM

📄 Article

✓ Link checked Free Intermediate

Good specifically on data silos and on the difference between marketing analytics, product analytics and attribution, which is the confusion that keeps five tools disagreeing with each other.

The Ultimate Guide to Marketing Analytics for SaaS Companies

From Factors.ai by Ninad Pathak 18 min read

Average SaaS CAC across industries is quoted at 704 dollars.
An average SaaS business gets 16 percent of new ACV from upselling existing customers.
Existing customers are 50 percent more likely to buy and spend 31 percent more than new ones.
Position-based attribution gives 40 percent each to the first and last interaction, splitting the rest.

Open factors.ai →

Answers Our numbers live in five different tools and none of them agree. How do I build one source of truth?

📄 Article

✓ Link checked India Free Intermediate

Written by an Indian B2B attribution company, this walks through single touch versus multi touch models and, more usefully, when each one is honest. Good grounding before you pick a model your teams will argue about.

Sales Attribution: The Complete Guide for B2B Marketers

From Factors.ai by Vrushti Oza 16 min read

U-shaped attribution gives 40 percent each to first touch and lead creation, splitting the remaining 20 across the middle.
W-shaped splits 30/30/30 across first touch, lead creation, and opportunity creation, with 10 percent to everything else.
Single-touch models only hold up under about a 30 day sales cycle; past three months you need multi-touch.
B2B buying committees run three to ten people, which is why last-touch flatters the wrong channel.

Open factors.ai →

Answers Our numbers live in five different tools and none of them agree. How do I build one source of truth? Marketing says they sourced the pipeline, sales says they did. How do I settle attribution without starting a war? What does a genuinely best in class GTM data model look like, not just a tidy CRM?

📄 Article

✓ Link checked India Free Beginner

Deliberately picks nine metrics instead of forty and argues for a focused set, which is the right instinct for a small team. Written by an Indian B2B analytics company for Indian sized funnels.

9 SaaS Marketing Metrics You Should Be Tracking

From Factors.ai by Ranga Kaliyur 10 min read

Sales velocity is opportunities times deal value times win rate, divided by sales cycle length.
Bounce rate bands: under 40 percent excellent, 40 to 55 decent, 55 to 70 mediocre, over 70 poor.
By channel, bounce runs 56 percent on display, 54 social, 49 direct, 44 paid search, 43 organic.
Average landing page conversion is 9.7 percent, and retaining a customer is 5 to 10 times cheaper than acquiring one.

Open factors.ai →

Answers Which handful of GTM numbers should a first time founder actually track?