Planning a B2B SaaS Link Campaign on ChainEpic

The imaginary buyer is a B2B SaaS with a product page that already ranks somewhere on page one or page two for a commercial query. The page has a clear definition of the product. The gap is referring domains from sites a buyer might actually read, not a DR emergency. The mix is deliberately small: six placements, then a stop.

The rows are the B2B SaaS review blog, the enterprise SaaS comparison site, and the technical SEO journal in the catalog that ships with this site. Two guest posts on each of the first two, two niche edits on the third. The table multiplies the catalog unit price by the quantity. If those seed prices change in the codebase, the total changes. It is not a negotiated quote from a sales call.

Why this mix: the two guest posts create URLs that can explain the product in the site's own voice. The insertions only make sense if those journal URLs already get visits. Run step 4 of the checklist before treating the niche-edit lines as real orders. The domains are masked in the table on purpose.

A 240% increase is (new − old) / old. If a page had 1,000 organic visits a month, 240% growth would mean 3,400. You would need the starting number, the ending number, the dates, and a reason to believe the links were involved. Seasonality, a site migration, a pricing change, and a single new ranking page can all move the total without a single placement. A honest case study shows the Search Console export and the list of live URLs. This page has the list of planned rows and no export.

• •Search Console: impressions and average position for the target queries, exported the week before the first placement.
• •The same export 90 days after the last URL is indexed. Not 90 days after you paid.
• •A row in a sheet for each live URL: index status, anchor, rel, and whether the page still returns 200.
• •Assisted conversions only if analytics already attributes them. Do not invent a revenue number to match the invoice.

Write the anchors first, using the brand-heavy ranges. Two of the six can be partial match. One naked URL is enough. None of them need to be the exact commercial query if the page is already known for the brand. Then place the orders far enough apart that six new referring domains do not appear on the same afternoon.

The calculator above is the spend side. Type the visits you are willing to treat as the upside and what a visit is worth in your own pipeline. If the months-to-recover figure only works when you assume thousands of new visits, the invoice is too big for the evidence you have. Shrink the order. The price read is there if you want to swap in a different band.