Things Your Event Data Should Be Able to Tell You

Event organisers have more audience data than ever.

Registration records. CRM contacts. Exhibitor leads. Email lists. Website enquiries. Previous attendees. Lapsed attendees. Imported lists. New prospects.

The problem is rarely a lack of data.

It is knowing what all that data actually means.

You can have hundreds of thousands of records and still struggle to answer some fairly basic questions about your audience.

How much of your target market do you actually reach? Which organisations are missing? Are you reaching the right people? Where should you focus your next acquisition campaign?

That is the difference between having data and understanding your audience.

Event data should not just tell you what happened. It should help you understand the market you are trying to reach and where there is room to grow. Research into event data has also found that organisers use event data well beyond reporting, including wider strategy, decision-making and business intelligence.

So, if you have a large event database, here are some of the questions your data should be able to answer.

How much of your target market do you reach?

Database size is an easy number to report.

Audience coverage is much harder.

Having 100,000 contacts does not tell you whether you have strong coverage of the market your event actually wants to attract. You might have excellent penetration in one part of the market and almost none in another.

The starting point is defining the market you want to reach.

Which types of organisations belong in it? Which job functions matter? What level of seniority are you looking for? Which countries, regions or organisation sizes matter?

Once that market is defined, you can compare it with what you actually have.

That changes the question from:

“How big is our database?”

to:

“How much of the market we care about is represented in our database?”

That is a much more useful number.

How many contacts fit your target personas?

A database can contain plenty of contacts without containing enough of the right contacts.

Job titles are often inconsistent. One organisation might have a “Head of Procurement”, another a “Procurement Director”, another a “Chief Procurement Officer”. Some records might simply say “Manager”.

Looking at titles individually makes it difficult to understand the audience as a whole.

Your data should be able to group contacts into meaningful functions, seniority levels and audience personas. You should then be able to see how many people actually fit the profiles you want to attract.

This can expose a common problem in event databases: a large contact volume that masks a relatively small number of commercially relevant people.

Which organisations are missing?

Your existing database tells you who you know.

It does not automatically tell you who you don’t.

This is one of the biggest limitations of looking at your database in isolation.

If you know the organisations already in your CRM, but have never mapped the wider market, you have no reliable way of identifying the organisations missing from it.

A proper audience analysis should therefore look beyond the database.

Build a picture of the relevant market, then compare it with your existing organisation universe.

The gaps are often more interesting than the records you already have.

You might discover that you have strong coverage of large companies but very little of the mid-market. Or good coverage in the UK but significant gaps in Europe. Or plenty of contacts within existing accounts but almost no penetration of a particular sector.

Those are actionable gaps.

Where are your biggest audience gaps?

Not every gap matters equally.

Finding 10,000 missing organisations is not particularly useful if you cannot distinguish between the organisations worth pursuing and those that are not.

The useful question is where your commercially important gaps are.

Look across the dimensions that matter to your event and identify where coverage falls short.

For example, you might find that:

  • 70% of your target organisations are represented, but only 35% of the relevant decision-makers are.
  • Your database has strong coverage of enterprise organisations but weak coverage of SMEs.
  • One important sector makes up 20% of your target market but only 6% of your database.
  • You have plenty of contacts in an organisation, but very little representation from the functions you actually want to attract.

This is where data starts to become useful for planning.

You are no longer simply measuring what you have. You are identifying where the next audience can come from.

Which audience segments are growing?

Your audience should not be treated as a static list.

Markets change. Organisations grow or disappear. People change roles. New technologies create new job functions. Sectors expand, contract and overlap.

Your own event data can provide some of the signals.

Compare your audience composition over time. Look at changes in sectors, organisation types, job functions, seniority and geography.

Which segments are becoming more prominent?

Which are declining?

Which emerging segments are starting to appear but are still under-represented?

This can help inform more than acquisition. It can influence content, programming, sponsorship propositions and even how you position the event.

Freeman Data recently found that Event data is increasingly being used as part of wider strategic decision-making rather than simply as an event reporting exercise.

How much of your database is campaign-ready?

A contact existing in your database does not mean you can successfully market to them.

Before a major campaign, you need to know how much of your audience is actually usable.

Are the email addresses valid?

Are people still at the organisation?

Are organisation records accurate?

Are key fields complete?

Can you identify the right audience segment?

Do you have enough information to personalise or target the campaign properly?

This is particularly important for large, long-established event databases. They can contain years of accumulated records, but age and volume can create a false sense of strength.

A database of 200,000 records is not necessarily more valuable than one of 80,000.

It depends on how much of it is accurate, relevant and usable.

Where is your exhibitor whitespace?

For events with exhibitors or sponsors, audience data can tell you something else that is often overlooked.

Where are the commercial opportunities within your market?

You can map the organisations already exhibiting against the wider market and look for the gaps.

Which relevant companies are not exhibitors?

Which sectors have very little exhibitor representation?

Are there major organisations in your target market that have never appeared on your exhibitor list?

This creates a different view of the database.

Instead of using data purely to find attendees, you can use the same market intelligence to understand where future exhibitor and sponsor opportunities may exist.

The point is not to have more data

The event industry has become very good at collecting data.

The harder part is turning it into a clear picture of the audience.

A database should be able to answer simple questions about who you have, who you are missing and where you can grow.

If it cannot, adding another 50,000 records probably will not solve the problem.

The starting point is understanding what you already have, measuring it against the market you want to reach, and identifying the gaps that actually matter.

That is when your event database stops being a large collection of records and starts becoming an audience intelligence tool.

And ultimately, that is what your data should be telling you.

To uncover what your event data is telling you, get in touch with our experts today.

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