The Deal RecordEp. 7 · Jul 1, 202637 minWith David KimHosted by Mark Richards

The $680K calculator

One interactive asset touched $680K of Dashstar's pipeline last quarter. David Kim on how they found out, and what they built next.

Chapters

00:00
Finding the asset in the deal data
12:00
Why calculators convert
25:30
The next three assets

One interactive asset touched $680K of Dashstar's pipeline last quarter. David Kim, Content Lead at Dashstar, explains how his team found that out once every asset got a line in the deal record, why a calculator outperformed three years of whitepapers, and what they are building next.

Dashstar sells inventory software to mid-market retailers. The ROI calculator was a side project; the attribution data made it the centre of the content plan.

Key takeaways

  • Views measure interest, deal presence measures influence. The calculator was fourth by views and first by pipeline: 28 opportunities, $680K, a 42% win rate against a 34% team average.

  • A number the buyer typed in beats a number you claimed. The calculator shows up late in deals, where the champion needs something to defend in front of finance.

  • Three small changes doubled its deal presence: a shareable results link, a "current tool" field, and a short email from the rep after each session.

  • Ship for a stage, not for a calendar. Dashstar's next three assets each target a stage where deals stall in the data, and each gets a line in the deal record from day one.

Mentioned in this episode

  • Content Attribution in Meridian, the view Dashstar used to rank assets by deal presence and win rate.

  • Episode 13 with Priya Natarajan on what a buying committee actually reads.

Full transcript below. Recorded for season 2 of The Deal Record.

Transcript

00:00 · Finding the asset in the deal data

Mark: David, welcome to The Deal Record. Before we get into the number in the title, tell people what Dashstar does and what your job actually is.

David: Thanks, Mark. Dashstar is inventory software for mid-market retailers, so think chains with twenty to two hundred stores, the ones that are too big for a spreadsheet and too small for the enterprise suites. I run content, which for three years meant one thing: a whitepaper a month.

Mark: A whitepaper a month. How did you know if any of it worked?

David: We counted downloads. We had a dashboard with downloads by asset, by month, and a report that went to sales every quarter. I found out later that nobody in sales had ever opened that report. Not once.

Mark: So when did that change?

David: When we connected the CRM, the call recordings and the content touches into one place. Suddenly every asset had a line in the deal record. Not how many people downloaded it, but which opportunities it appeared in, at which stage, and whether those deals closed.

Mark: And that is where the calculator shows up.

David: That is where it shows up, and honestly it was embarrassing. The ROI calculator was a side project. A product marketer built it in a weekend because a rep kept asking for something to send after demos. It was fourth by views that quarter, about 1,240 sessions. Our top whitepaper had three times that.

Mark: But.

David: But the calculator was in 28 opportunities worth $680K, and those deals closed at 42%. The team average was 34%. The whitepaper with the most downloads was in 14 deals and won 31% of them. Below average. The thing we were proudest of was slightly hurting us, or at least not helping.

Mark: How do you explain the gap between views and deal presence?

David: Views measure interest. Deal presence measures influence. Someone downloads a whitepaper because the title sounded smart on LinkedIn. Someone opens a calculator because they are trying to justify a purchase to their boss. Those are different people at different moments, and only one of them is in a deal.

Mark: Was there a stage pattern?

David: Very clearly. The calculator showed up late, in evaluation and negotiation. The whitepapers showed up early or not at all. And late-stage presence is worth more, because the buyer is already convinced the problem exists. They need a number they can defend.

Mark: Did sales know they were doing this?

David: Sales had been sending the calculator link for months. Nobody told marketing, because why would they? We found out from the data, not from a meeting. That was the part that stung. We had been in the same building.

12:00 · Why calculators convert

Mark: Let's get into the mechanics. Why does a calculator do what a whitepaper cannot?

David: A whitepaper asks the buyer to trust our numbers. A calculator asks the buyer for theirs. Store count, average stock-out cost, days of cover. The output is a figure the champion produced, with their inputs, on their screen. They can paste it into a slide and defend it, because it is theirs.

Mark: There is an obvious objection. A calculator can be tuned to show any result you want.

David: Sure, and buyers know that, which is exactly why the inputs are the point. We made the defaults conservative, deliberately. When a buyer enters cautious numbers and the result is still positive, the rep has a conversation that no case study can start. And when it is not positive, that is useful too. We have had reps disqualify a deal off the back of the calculator and save themselves two months.

Mark: You said deal presence doubled over the quarter. What changed?

David: Three things, none of them clever. First, a shareable results link. Before that, the result lived in the browser tab and died with it. With a link, the champion could forward it to finance, and we started seeing the calculator in deals where we had never spoken to the person who opened it.

Mark: The second?

David: A field for the buyer's current tool. If you tell us you are on spreadsheets, the comparison reads differently than if you are on a competitor. It made the output feel specific instead of generic, and specific is what survives a finance review.

Mark: And the third.

David: A short email from the rep after each session. Not a sequence. One human email that said, I saw you ran the numbers for forty stores, here is what that looks like for a customer your size. We killed the automated follow-up entirely. Reply rates went from 4% to 31%.

Mark: How did you know who ran the calculator?

David: Because it was in the deal record. The rep saw the session on the opportunity timeline next to the calls and the emails. That is the whole trick. The asset is not separate from the deal. It is an event in the deal.

Mark: What did the whitepaper team think about all this?

David: I am the whitepaper team. It was hard. You spend three years on something and the data says it was fine, just not important. What helped was that nobody blamed anyone. We did not have the data before. Now we do.

25:30 · The next three assets

Mark: So what are you building now?

David: Three interactive pieces over the next two quarters and no whitepapers. Each one is tied to a stage where deals stall in the data. That is the only rule: if an asset cannot show up in an opportunity, it does not ship.

Mark: Walk me through them.

David: First, a stock-out risk scorer for discovery. You enter a few numbers about your categories and seasonality and it tells you where you are exposed. It replaces the first-call deck, which the data says nobody remembers anyway.

Mark: Second?

David: A migration timeline estimator for the security and IT review. That is where we lose most often, because the IT lead hears migration and imagines six months. The estimator shows the actual steps and the actual weeks, with their own data. It gives the champion something to hand to IT before IT asks.

Mark: And the third one.

David: A board-ready one-pager. It pulls the calculator's result into a template the CFO already recognises, with the inputs shown, so the champion walks into the last meeting with a number, not a brochure. We built it after watching three deals die in the board meeting with nothing to show.

Mark: Each of these gets a line in the deal record from day one?

David: From day one. We will know within a quarter which of them matters, and we will stop making the ones that do not. That is the part I would tell anyone in my job: stop measuring your content by itself. Measure it inside the deal.

Mark: David, thank you. Where can people find you?

David: On LinkedIn, and the calculator is on dashstar.example, if you want to see what 1,240 people saw.

Mark: That is The Deal Record for this week. Next episode, Priya Natarajan on what a buying committee actually reads. Thanks for listening.