Foundations
Part of SAAS marketing foundations for England without the guesswork
How to define demand signals for SaaS marketing in England
What counts as a demand signal for SaaS marketing in England, the three tests to apply, fit versus intent, and the data protection rules to respect.
What to take away
- Most SaaS marketing teams start by buying data or a tool. Start with a written definition of what counts as a signal, who owns it and what happens next.
- Signals are only useful if they are observable, dated and tied to a person or an account you can contact lawfully.
- Score intent and fit separately. A high-intent poor-fit account wastes sales time; a low-intent strong-fit account belongs in nurture.
- Geography matters. England-only demand behaves differently from UK-wide demand, and your evidence should say which one it covers.
- Agree the rubric before the campaign, not after, so sales and marketing argue about evidence rather than opinions.
What counts as a demand signal
A demand signal is an observable event that suggests a person or an account may need what you sell. It is not the same as a lead, and it is not the same as a contact record.
Fit vs intent signals
Fit signals
- What it describes
- The account
- Examples
- Sector, size, systems
- Observable
- Yes
- Dated
- Yes
- Attributable
- Yes
Intent signals
- What it describes
- Behaviour
- Examples
- Pricing visit, trial start
- Observable
- Yes
- Dated
- Yes
- Attributable
- Yes
Three tests are worth applying. Is it observable, meaning someone other than the buyer can see it? Is it dated, so you know whether it is recent? Is it attributable, so you can link it to a person or an account?
Signals fall into two broad groups. Fit signals describe the account: sector, size, systems in use. Intent signals describe behaviour: a pricing page visit, a repeat visit, a form fill, a trial start.
Definitions in this space drift quickly. Write yours down, circulate them and revisit them each quarter. Our England market guide sets out the wider context if you need a starting frame for scope and demand.
Which inclusion criteria should you apply?
Set the criteria before you look at any data, otherwise you will rationalise whatever the list happens to contain.
Inclusion criteria to set first
- Geographybusiness operating in England
- Timingwindow that counts as live
- Sourcesystems allowed to create signals
- Ownershipwho acts and within what period
- Lawfulnesscontact allowed under privacy notices
The criteria themselves are short, and each one has to be answerable before an event goes on the list: does it point to a person or an account you can contact lawfully; is it observable to someone other than the buyer; is it dated and inside your window; does the account match your fit definition for sector, size and systems; and does it connect to a need you can actually serve? A signal that fails any of these is noise, however tempting the list looks.
Compliance sits alongside the criteria, not after them. In England the data protection regulator is the Information Commissioner's Office (ICO), and the rules that apply to customer data are the UK GDPR and the Privacy and Electronic Communications Regulations (PECR). Before you score or contact anyone, record the lawful basis you rely on — legitimate interests for most business-to-business research, and consent or the narrow soft opt-in for electronic marketing — and make sure you can answer a subject access request from the same database you use for scoring.
How should you weight and score signals?
Weight fit and intent separately, then combine them into one priority order. The table below is left blank on purpose: copy the header into your own sheet, list each signal you track, and agree its type, its score and its decay window with sales before the campaign starts. Your scores should come from your own conversion history, not from another company's.
| Signal | Type | Illustrative score | Notes |
|---|
For a B2B software team selling into England, a workable starting set is sector, company size and systems in use as fit signals, and a pricing page visit, a repeat visit, a form fill and a trial start as intent signals. Give each one a score you can defend and an expiry date, and keep fit and intent apart so a weak result tells you whether the problem is targeting or timing.
A total of 60 or more might route to sales, 30 to 59 to nurture, and below 30 to no action. Adjust the thresholds to your own conversion history rather than copying these.
Where do paid channels fit?
Paid channels generate signals, they do not replace a rubric. A click is a weak intent signal on its own, and treating it as strong intent is a common way to inflate pipeline.
LinkedIn, for example, offers small business advertising options that let you target by job title, company size and location. Use them to create observable, dated events you can score, and be explicit about which events count.
The Office for National Statistics publishes digital economy statistics covering IT and internet activity, which is a reasonable starting point when you want to size the addressable market rather than guess at it.
If you are deciding which channels deserve budget at all, our commercial opportunities review is a sensible next read before you commit spend.
What mistakes should you avoid?
Scoring everything. If every visit creates a signal, nothing is prioritised and sales stops trusting the list.
Ignoring decay. A pricing page visit from eight months ago is not a live signal. Put an expiry date on every event.
Blending fit and intent into one number without a reason. Keep them separate so you can see whether a problem is targeting or timing.
Leaving ownership vague. A signal with no owner and no response window is a report, not a process.
Assuming England equals the UK. Rules, buyers and competitors differ across Scotland, Wales and Northern Ireland. State your geography plainly.
Common questions
How many signals should a team track?
Start with five to eight that you can act on. Adding more before the first set is working usually reduces response rates rather than improving them.
Do signals replace lead scoring?
No. Signals feed a score. Lead scoring is the rule set that turns those events into a priority order your sales team can follow.
How often should the rubric change?
Review quarterly, or whenever conversion data shows a threshold is wrong. Changing it weekly makes performance impossible to compare over time.
Does this apply outside England?
Partly. The method travels, but the definitions and the market data do not. Check the position for Scotland, Wales and Northern Ireland separately before applying an England-only rubric.
