What every term means

The read of an entity’s activity over time that comes with every watch. Inactivity is flagged and benchmarked against the entity’s own history and its peers, so silence is a finding, never an empty state.

Who is actually in the room: the mix of decision-makers, buyers and professionals versus general footfall. One score, two readers — participants ask whether their buyers are there, operators ask whether the audience spends. Method on the methodology page.

An estimate of what an audience will spend on hotels, flights and everything else around an event, read from who is in the room — where attendees travel from and the other signals held on them. Always an estimate, and always worded as one.

A free pointer to an event or an entity you want to find again — organisation only, unlimited, with no monitoring attached. Monitoring is a watch.

Where an audience travels from: the origin distribution of the people coming to a place on a date, read from participation records rather than surveys. Estimated, and labelled as such.

Which companies and people appear together across events — who repeatedly shows up alongside whom. Read from participation records; the basis of a market map or a thesis.

Structured event, venue and demand data supplied for training your own models, under the right permissions and licensing. WHR provides the data and does not train models.

The demand pressure one event creates at its location — footfall, audience mix and inbound share, modelled across the event’s days. An estimate, labelled as one; method on the methodology page.

The pressure on a place — a city or a zip — on a given day from all the events active there: concurrent events compound, and shared audiences are not double-counted. Read as far ahead as the data allows, across dated events and forecasted editions, with estimated demand labelled as an estimate; method on the methodology page.

Anything the Presence Graph holds a record on and a watch can be set on. On the sell side, companies and people — exhibitors, sponsors, speakers, participants, organisers — and the social signals around them; on the place side, venues and cities.

A workflow that does event-related jobs with access to WHR’s data, the ability to reason over it and the ability to take defined actions. Which jobs depends on the user.

Demographics describe people and firmographics describe companies; eventographics describe events and the entities around them — the structured breakdown of an event, a city or a category into its commercial parameters: organiser, venue, timing, audience, scale, recurrence, who takes part and where they travel from.

An event’s expected size, shown as labelled buckets built on estimated attendance — an estimate, and always labelled as one. Method on the methodology page.

Projected dates for an event’s next edition, before the organiser announces them. Forecasted editions feed the demand read as far ahead as the data allows, and are always labelled as forecast, never presented as dated fact.

Audience pull: how far an event draws its audience — local draw versus national and international inbound. Method on the methodology page.

How strongly an event’s participants overlap with the companies you track — your competitors, customers or ideal customer profile. A personalised layer, always shown separately from the general scores; method on the methodology page.

The impact of events on local commerce in the physical world — the footfall, bookings and sales that gatherings move in a place. WHR GEO forecasts it from the event calendar.

A record of one participant at an event edition — exhibitor, sponsor, speaker, delegate or attendee. Collected since 2014, and most densely in the last three years. See participation record.

A record that a company or person took part in an event edition — exhibited, sponsored, spoke or attended. Absence means “no participation record”, never “was not present”; participation records begin in 2014.

WHR’s record of physical-world presence: which companies and people show up at which events, where, in what role, over time — and what that activity does to demand in a place. One graph, read from the sell side as WHR GTM and from the place’s side as WHR GEO.

How well a company shows up in the physical world compared with its cohort, measured by its participation across events — exhibiting, sponsoring, speaking and verified attendance — as a percentile within its category, never compared across categories. Its inputs — roles, event tier and recency — are on the methodology page.

Mapping your prospects to the events they take part in: link your CRM or upload a list of prospective companies, and see which events they will be at. WHR uses the phrase in that sense, not for mapping the relationships inside an account.

The existing five-star rating from real attendee reviews, listed with the other event scores on the methodology page. Unchanged, human, self-reported.

How much an event or a signal overlaps with what you track and who you are — your trackers, your profile, your goals. Judged as high, notable or routine, never expressed as an invented number, and it adapts as your goals and inputs change.

Your company’s share of the tracked audience reach across your category’s events — the hero metric: arithmetic, transparent, and always framed as a share of tracked audience, never an absolute. Window and method on the methodology page.

One timestamped change in the Presence Graph: a new participation — an exhibitor confirmed, a sponsor tier raised, a speaking slot, a venue booked — or a change to an event’s core facts such as its dates or venue. A watch delivers every new signal as it lands, and the absence of signals is read too (see Activity Pulse).

The kind of participation a signal records — exhibitors, sponsors, speakers, attendees or social — alongside an event’s core changes. On an edition watch you choose which classes to receive; unattended events carry their own class.

The unit you spend on data you pull: searches, and records at one token per row — an event’s participant list, upcoming or past, is a search with the event as the filter. Signals delivered from an event-edition watch also spend tokens. Watching a company, person or venue is billed in dollars, by the slot, not in tokens.

A saved search that watches a whole market, a competitor set or a topic and surfaces the events that match — rather than one entity, which is a watch.

Where an event series is heading, as a label — Growing, Steady, Fading or Watch — read from demand trend, exhibitor continuity between editions and return intent. Deliberately a label with visible components, never a single blended number; method on the methodology page.

Event types with no participants to record — public holidays, weather and warnings — that still move demand in a place. WHR GEO models demand from them alongside attended business events and non-business events such as concerts, festivals, sports and elections.

A record is verified once a source has confirmed it. Further confirmations raise an internal confidence level that is tracked but never shown; public copy says “verified” and nothing more.

The paid monitoring service on one entity — a person, company, venue or city at a flat monthly rate, or an event edition, by the signal. A watch delivers every new signal on that entity as it lands, plus its current state and its pulse, and runs month by month.