Logistics, Freight & Transport · capability model · shortlist visibility
The shortlist forms before the RFP, and the page that gets you onto it is already three years old
Ninety-five percent of B2B purchases come from the shortlist the buyer had on day one, and the first vendor contacted wins roughly eight of ten deals. Meanwhile 72.9% of pages ranking in Google's top ten are more than three years old. This model funds two clocks at once and is explicit that neither figure was measured on a freight buyer.
95%
up from 85% in 2024Purchases coming from the day-one shortlist
Modelled figure — not a client result
roughly 8 in 10
Deals won by the first vendor contacted
Modelled figure — not a client result
61%
improved from 69% in 2024Buying journey complete before seller contact
Modelled figure — not a client result
72.9%
the number one page averages five years oldTop-ten ranking pages more than three years old
Modelled figure — not a client result
1.74%
6.11% for the English-language subsetNew pages reaching the top ten within twelve months
Modelled figure — not a client result
Modelled. Inputs: 6sense, B2B Buyer Experience Report 2025 (~4,000 respondents); Ahrefs, How Long Does It Take to Rank in Google? 2025 (1.3M keywords); First Page Sage, Average Cost Per Lead by Industry (updated December 2025). Modelled outputs are not a forecast or a guarantee of results. Cited: 6sense *2025 Buyer Experience Report*; Ahrefs (May 2025, 1.3M keywords).
At a glance
The engagement in brief
Services
- Content
- Technical SEO
- AEO GEO
- Positioning
- Content Systems
- Reporting
Stack
- Content system
- Search Console
- CRM
- reporting workbook
The situation
What we walked into
Freight buying is relationship-led and RFP-shaped, which makes it easy to believe that marketing's job begins when the RFP arrives. The published buyer research says the opposite: 61% of the journey is complete before a seller is contacted, 95% of purchases come from the shortlist the buyer already had on day one, and the first vendor contacted wins roughly eight of ten deals. By the time a request for proposal is written, most of the outcome has been decided by who the buyer could already name.
By the time the RFP is issued, the buyer has a shortlist they arrived with. The bid is a confirmation exercise for one vendor and a courtesy for the rest.
What we found
The diagnosis
01
The RFP is a confirmation, not a competition
95% of purchases coming from the day-one shortlist means the bid process mostly ratifies a decision made earlier. An operator whose entire commercial effort begins at the RFP is competing for the five percent.
02
The pages that rank are old, which is a scheduling fact rather than a discouragement
72.9% of top-ten pages are more than three years old and the top result averages five years. Only 1.74% of new pages reach the top ten inside twelve months. But 40.82% of the pages that do get there arrive within a month, so the signal about whether a page will ever work shows up early even though the payoff does not.
03
Two clocks run at once and the plan has to fund both
The shortlist clock runs now — referrals, named presence, being someone the buyer can already name. The content clock runs in years. Funding only the first produces a business with no compounding asset; funding only the second produces a very good website and a quiet year.
04
Organic is the cheaper published channel in freight and also the slower one
$505 organic against $670 paid. The model does not treat the cost advantage as a reason to move budget without stating the lag in the same sentence, because the two facts arrive together or the second quarter is a difficult conversation.
05
Neither of the two datasets in this model was measured on a freight buyer
The buyer research is all-B2B on deals averaging $250,000 with committees of ten or more. The ranking research is all-web. Both are directionally useful, neither is vertical evidence, and the model says so on the page rather than in a footnote.
The number behind it
What this is built around
**95% of B2B deals go to a day-one shortlist vendor**; the first vendor contacted wins **~80%**; **72.9% of pages ranking in Google's top 10 are more than three years old** (typical #1 page ~5 years old).
What we built
The system
The model runs the two clocks as two separate budget lines so neither can quietly consume the other. The shortlist line funds named presence: the operations leaders and the lanes the business actually wants, referral relationships made legible, and content that exists to be recognised rather than to rank. The content line funds question-shaped pages on lanes, modes and the operational problems a shipper searches on, published on a schedule that assumes years rather than quarters, with early ranking movement read as a signal about the page rather than as a result. Reporting asks every closed opportunity, won or lost, when the buyer first heard of the operator, which is the only way to see the shortlist clock at all.
The sequence
How it was delivered
Weeks 1–4
Visibility audit
Win/loss interviews on recent bids: who was shortlisted, when the buyer first heard of us
Owner: OmniFlow + operator
Weeks 4–6
Two budget lines
Shortlist line and content line separated, each with its own measure and its own clock
Owner: OmniFlow + operator
Month 2 onward
Named presence
Lane and operations content under named people; referral relationships made visible
Owner: Operator + OmniFlow
Months 2–12
Content programme
Question-shaped lane, mode and operational-problem pages on a multi-year schedule
Owner: OmniFlow
Quarterly
Review
Share of closed opportunities where the operator was named on the buyer's day-one shortlist
Owner: OmniFlow
Outcome
What the model produces
The model reports the share of closed opportunities, won or lost, in which the operator was on the buyer's shortlist before the process began. At the published rates that is the number that decides the other numbers, because a 95% day-one composition means late entry rarely converts regardless of the bid. Ranking progress is reported separately and on its own timescale, with the one-month signal read as a leading indicator rather than as an outcome.
Modelled. Inputs: 6sense, B2B Buyer Experience Report 2025 (~4,000 respondents); Ahrefs, How Long Does It Take to Rank in Google? 2025 (1.3M keywords); First Page Sage, Average Cost Per Lead by Industry (updated December 2025). Modelled outputs are not a forecast or a guarantee of results. Cited: 6sense *2025 Buyer Experience Report*; Ahrefs (May 2025, 1.3M keywords).
Inputs
What the model is built on
Every figure below is published research, not a client result. They are the inputs to the arithmetic above, listed so it can be checked rather than taken on trust. The bracketed number points to the full citation at the end of this page.
95%
[1]Purchases coming from the day-one shortlist
2025 survey
roughly 8 in 10
[1]Deals won by the first vendor contacted
2025 survey
61%
[1]Buying journey complete before seller contact
2025 survey
72.9%
[2]Top-ten ranking pages more than three years old
published May 2025
1.74%
[2]New pages reaching the top ten within twelve months
published May 2025
The published figures, side by side
Rates share a 0–100% scale. Costs and counts are scaled against the largest value shown.
- Purchases coming from the day-one shortlist[1]95%
2025 survey
- Deals won by the first vendor contacted[1]roughly 8 in 10
2025 survey
- Buying journey complete before seller contact[1]61%
2025 survey
- Top-ten ranking pages more than three years old[2]72.9%
published May 2025
- New pages reaching the top ten within twelve months[2]1.74%
published May 2025
Run the model on your own numbers
Change the volume and the target rate. Everything else is held at the published benchmark above, so the output is arithmetic you can check rather than a claim.
Reporting
What you would actually see
These are the surfaces this engagement is run and measured from, shown with representative figures built around the benchmarks cited on this page. Every account we run reports into views like these, and you keep ownership of all of them.
These are demo dashboards. They show the reporting surfaces this engagement is run and measured from, with representative figures generated around the published benchmarks cited on this page — not a client account and not a client result. Live reporting for your own account replaces every number here.
Google Analytics 4
Logistics, Freight & Transport · all web data
Sessions
2,080
+46.8%
Key events
86
+58.5%
Session key event rate
4.1%
+1.2%
Engagement rate
65.0%
+2.2%
Sessions by month
Dashed line marks the month the engagement started.
| Session default channel group | Sessions | Key events | Rate |
|---|---|---|---|
| Organic Search | 874 | 33 | 3.8% |
| Paid Search | 454 | 23 | 5.1% |
| Direct | 376 | 22 | 5.9% |
| Referral | 188 | 9 | 4.8% |
| Organic Social | 188 | 9 | 4.8% |
CRM pipeline
Logistics, Freight & Transport · inbound and outbound
Leads created
158
+67.8%
Qualified
83
+78.0%
Meetings booked
49
+81.4%
Answered on first attempt
60.9%
+9.4%
Leads created by month
Dashed line marks the month the engagement started.
| First-touch source | Leads | Qualified | Meetings |
|---|---|---|---|
| Google Ads — high intent | 49 | 26 | 12 |
| Organic search | 43 | 23 | 10 |
| Business Profile — call | 30 | 16 | 7 |
| LinkedIn outbound | 22 | 12 | 5 |
| Referral | 14 | 7 | 3 |
Method
How this is measured
Each figure on this page, the system it is read from, and the definition and window it is measured over.
| Figure | Read from | How it is defined | Status |
|---|---|---|---|
| Purchases coming from the day-one shortlist | published benchmark | 2025 survey | Published |
| Deals won by the first vendor contacted | published benchmark | 2025 survey | Published |
| Buying journey complete before seller contact | published benchmark | 2025 survey | Published |
| Top-ten ranking pages more than three years old | published benchmark | published May 2025 | Published |
| New pages reaching the top ten within twelve months | published benchmark | published May 2025 | Published |
Honestly
What we would do differently
Not applicable — this is a modelled engagement. Its weakest input is that neither dataset describes freight. The buyer research is built on deals averaging $250,000 with buying committees of ten or more, which resembles enterprise software procurement far more closely than a lane award to a regional carrier, and the ranking study is all-web rather than B2B. The model is honest that it is applying general B2B behaviour to a vertical nobody has surveyed, and the win/loss interviews in the first month exist to find out how badly that assumption fits.
Evidence base
2 sources, 2 publishers
Full citations for everything cited on this page, with the sample and period each study covers, so you can go and read the original.
Published research
- [1]
6sense, B2B Buyer Experience Report 2025
~4,000 respondents
Supports: Purchases coming from the day-one shortlist · Deals won by the first vendor contacted · Buying journey complete before seller contact
- [2]
Ahrefs, How Long Does It Take to Rank in Google? 2025
1.3M keywords
Supports: Top-ten ranking pages more than three years old · New pages reaching the top ten within twelve months
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