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Stop Measuring Marketing by Leads Alone

Writer: Grant Davis
Grant Davis
Oct 2
6 min read

Updated: Oct 3

The campaign generated 87 leads.




Excellent.


Were they good leads? Did sales contact them? How many became opportunities? How many bought something? How much did it cost to acquire them? Were they new customers or people already in the database? Are they likely to buy again?

Suddenly, 87 feels less informative.


Lead volume is one of marketing’s favorite metrics because it’s easy to understand, relatively easy to count and usually sounds productive in a meeting. The problem isn’t that leads are meaningless. The problem is treating the lead as the finish line when, for most businesses, it’s somewhere in the middle of the race.


A Lead Is an Event, Not an Outcome

Something happened when a prospect became a lead. They filled out a form, called a number, scanned a badge, requested a quote, downloaded something or otherwise raised a hand.


That matters. Marketing caused or influenced a behavior worth paying attention to.

But the business presumably isn’t trying to accumulate form submissions.


It’s trying to acquire customers, generate revenue, grow profitable accounts, fill a pipeline or accomplish some other business objective. Whether those 87 leads contributed to that objective is the more interesting question.


This is where marketing measurement often gets strangely compartmentalized. Marketing reports the leads. Sales reports the revenue. Finance reports acquisition costs. Customer service knows who stayed. Somewhere in the CRM sits the information that might connect all of it.


And everyone goes back to their respective dashboards.


Lead Quality Changes the Math

Imagine two campaigns.


Campaign A generates 100 leads. Campaign B generates 40.


If lead volume is the primary measure, Campaign A wins easily.


Now suppose 10 of Campaign A’s leads become qualified opportunities while 20 of Campaign B’s do. Then suppose two customers ultimately come from Campaign A and eight come from Campaign B.


The smaller campaign suddenly looks rather different.


This is why lead quality matters. A business doesn't benefit equally from every person willing to complete a form. Geography might be wrong. Budget might be wrong. The prospect may be looking for a service the company doesn’t provide. Some leads were never serious buyers in the first place.


Marketing that generates fewer qualified prospects can be substantially more valuable than marketing that generates a large volume of people sales never had a realistic chance of converting.


The number at the top of the funnel matters. What happens underneath it matters more.


Marketing Measurement Has to Follow the Lead

A useful marketing reporting system should be able to follow performance beyond initial acquisition.


That doesn't mean every company needs an enormous analytics operation with seventeen dashboards and a data scientist wandering the halls. It means marketing and sales should agree on what happens after a lead arrives and measure enough of that journey to make better decisions.


Start with lead quality. How many leads meet the basic criteria for a viable customer? Then look at contact rates. Did sales actually reach them? How many became qualified opportunities? How many received proposals or estimates? How many ultimately purchased?


Those conversion points tell you where the system is working and where it isn't.

If marketing generates strong prospects but nobody contacts them for four days, you may not have a lead-generation problem.


You may have a Tuesday problem.


Sales Follow-Up Is Part of the Measurement Conversation

Marketing and sales have a long tradition of blaming each other for disappointing numbers.


Marketing says the leads are good. Sales says the leads are terrible. Marketing points to campaign performance. Sales points to the CRM. Everyone has evidence.

Sometimes both sides are right.


A campaign can produce weak leads. Sales can also mishandle good ones. If you only measure lead volume, you have no useful way to distinguish between the two.


This is why response time, contact rate, qualification rate and sales disposition matter. If 200 leads entered the CRM but only 74 received meaningful follow-up, evaluating the campaign solely on eventual sales tells you very little about the campaign itself.


Marketing performance doesn't exist in isolation from the process that receives it.

The handoff is part of the system.


Cost Per Lead Isn’t Customer Acquisition Cost

Cost per lead is useful. It tells you how efficiently a campaign is generating leads.

It does not tell you how efficiently the business is acquiring customers.


Suppose one campaign generates leads for $40 and another generates them for $100. The $40 leads look considerably better until you discover that 2% become customers while 15% of the $100 leads convert.


Now the economics have changed.


Customer acquisition cost, or CAC, pushes the measurement closer to what the business actually cares about: how much it costs to acquire a customer.


Even CAC needs context. A $1,000 acquisition cost could be disastrous for one business and excellent for another. It depends on margins, purchase value, repeat business and the economics of the customer relationship.

Cheap leads are not automatically good marketing.


Sometimes they are simply cheap leads.


The Customer May Be Worth More Than the First Sale

This becomes even more important when customers buy repeatedly.


If one marketing channel tends to acquire customers who purchase once while another produces customers who remain for years, evaluating both channels only on the initial transaction misses something important.


That’s where customer lifetime value, or LTV, becomes useful.

A customer who spends $500 today and disappears is economically different from one who spends $500 today and another $5,000 over the next three years.

Marketing measurement should reflect that when the business model allows it.


This doesn't mean every campaign needs a perfect lifetime-value model before anyone can make a decision. It means businesses should be careful about optimizing marketing around immediate transactions when the real value of a customer unfolds over time.


Attribution Gets Messy Because Customers Are Messy

Then there’s attribution: determining which marketing activity deserves credit for a result.


This would be considerably easier if customers behaved properly.


Instead, someone hears a radio ad, sees a social post, searches the company two weeks later, reads three reviews, visits the website twice, receives an email after downloading something and eventually calls sales.


Which channel generated the customer?


There are ways to model attribution, and better tracking is almost always preferable to guessing. But businesses should resist the temptation to treat attribution models as perfect reconstructions of human behavior.


Sometimes the important insight isn’t identifying one winning channel. It’s understanding how multiple channels contributed to the journey.


That matters when allocating budgets. A channel that rarely gets the final conversion may still be doing valuable work earlier in the decision process.


Not everything influential gets the last click.


Events Deserve Better Measurement Too

Events are especially vulnerable to shallow measurement.

How many people came to the booth? How many badges did we scan? How many business cards did we collect?


Useful information. Not ROI.


If an event generated 250 leads, the next questions should look familiar. How many were qualified? How many entered the pipeline? What opportunities were created? What revenue eventually resulted? Were existing customer relationships strengthened? Did the event support a strategic account or market objective?


Then compare those outcomes against the actual investment.


And the actual investment is more than the booth fee. Travel, labor, shipping, sponsorships, giveaways, displays, entertainment and the time of everyone involved all count.

The busiest booth at the trade show does not automatically win.

This is marketing, not a county fair.


Measure Enough to Make a Better Decision

There is a danger on the other side of this argument: measuring everything simply because technology makes it possible.


That doesn’t help either.


Marketing analytics should help a business decide what to do next. If a metric never changes a decision, it’s worth asking why everyone is spending time reporting it.

The right measurement system depends on the business, but the progression is generally useful: understand what marketing generated, determine whether those prospects were valuable, follow them into the sales process, connect them to pipeline and revenue where possible, and compare the result against what it cost to produce.

Then use what you learn.


Maybe one channel needs more budget. Maybe another produces plenty of leads but very little revenue. Maybe marketing is working and the sales process needs attention. Maybe an expensive event quietly generates the company’s best customers. Maybe a campaign everyone loves isn't doing much besides generating an attractive chart.

Those are management decisions.


And good measurement makes them easier.


“87 Leads” Is the Beginning of the Conversation

Lead volume still matters. If a campaign that normally generates 80 leads suddenly generates eight, somebody should probably investigate.


But the number alone doesn't tell you whether marketing worked.


The useful questions come afterward: Were they the right people? What happened to them? What did they cost? What entered the pipeline? What became revenue? What were those customers ultimately worth?


Marketing doesn't stop when someone becomes a lead.


Neither should the measurement.


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