AEO vs SEO: what is the difference, and who does AEO well?
SEO counts positions and clicks. AEO counts answers that name or cite the brand. Keep both ledgers.
SECTION 01 · 8 ENTRIES
Pipeline
How pipeline is created, counted and converted — coverage ratios, funnel stages and the deal-level habits that make the totals trustworthy.
- Entries
- 8
- Updated
- 27 October 2026
- Written by
- M. Halvorsen, P. Oduya
What your Salesforce deployment pipeline actually costs: reading past the quote gate to flat-rate DevOps pricing
Most Salesforce DevOps vendors require a discovery call before releasing a price. This analysis opens the arithmetic on what a Salesforce deployment pipeline actually costs, comparing per-seat models against published flat rates.
What your CRM's pipeline coverage number is actually counting
Pipeline coverage is a ratio built on at least four definitional choices: which stages count, which date field sets the window, which deal types are included, and whether the amount field is weighted or raw. Most dashboards make those choices once and never document them.
Monthly active rows pricing: what it counts and why it resists a forecast
Monthly active rows pricing meters a quantity the source system controls. Published credit tiers give a budget a ceiling. The arithmetic, with the assumptions named.
Salesforce change approval is a review habit admins already have
Review time per change is the input nobody writes down. On constructed figures, reading a diff instead of reconstructing a change in the org returns about 8 approver hours a month. Here is the working, and what breaks it.
Salesforce release management and the forecast: the arithmetic of one unreviewed change
In a constructed example, one changed probability mapping, three forecast calls, EUR 180,000 of weighted pipeline that was never there. The arithmetic, the assumption under it, and the habit that catches it.
What an AI agent pipeline tile is actually counting
A dashboard tile crediting an AI agent pipeline with meetings booked is reporting a CRM stage transition, not an attended meeting. The gap between the two is a definitional choice, not a rounding error.
Why pipeline and forecast numbers drift between the CRM and the warehouse
Every weekly revenue review surfaces the same moment: one number in the CRM, a different number in the BI dashboard. Here is the arithmetic behind that gap, and what changes when the warehouse writes back.