How It Works: Marketing Analytics Software That Shows What Every Campaign Made

Most marketing analytics software stops at the dashboard: clicks, leads, and which channel gets credit. CDAI (Capital, Decision, Accuracy, Intelligence), the engine behind Allocera Intelligence, goes one step further. It connects your ad accounts and CRM, works out what each campaign really made after every cost, and gives you one clear decision for every campaign, every night. Here is exactly how, in four steps.

Where most marketing analytics software stops

Most marketing analytics software collects data from your ad platforms, CRM, and web analytics into one view. That is genuinely useful. Seeing every channel together beats logging in to five dashboards.

But for a business that runs on leads, the number that decides everything usually isn’t in any of those dashboards. A campaign’s leads may be bought through a partner who takes a payout. Some customers refund. Some payments are charged back weeks later. Compliance and fulfillment cost money on every sale. None of that lives in the ad account, so the dashboard can show a healthy return on a campaign that is losing money. Our guide to marketing costs walks through each cost the platforms can’t see.

CDAI was built for that gap. It’s marketing analytics software for lead generation that answers the question the owner actually asks: did this campaign make money, and what should I do with it tomorrow?

How CDAI works in 4 steps

1. Connect. Link the ad accounts, CRM, and other tools you already use. Nothing about your campaigns has to change.
2. Calculate. Every night, CDAI pulls fresh data and works out real profit, true cost per lead, and true customer acquisition cost for every campaign.
3. Decide. For each campaign, it makes one clear call, with the numbers and a confidence level behind it.
4. Grade. It rechecks its own math and, once enough time has passed, grades whether each past decision was right.

What happens every night, in this order

1. Ingest. CDAI pulls in your data from the platforms you connected. It is built for 10 platforms, plus CSV import and a generic webhook, and it reads a rolling window matched to your sales cycle (30 days by default).
2. Build each campaign’s profit and loss. Ad spend, fees, partner payouts, refunds, chargebacks, compliance costs, and operating costs you add, against the revenue it closed.
3. Check for risk. It watches for rising cost per lead, lead-quality decay, fraud concentrating in a campaign, chargeback spikes, shrinking margins, and partner payouts that eat too much of the revenue.
4. Project the close-rate trend. It tracks each campaign’s weekly close rate and projects it forward, so a collapse is flagged before it reaches your margin.
5. Make the decision. One of eight for each campaign: Scale, Hold, Cut, Pause, Quarantine, Renegotiate, Investigate, or Flag.
6. Gate it. Every decision carries a confidence level, thin data can’t produce a Scale, and a stability gate stops decisions from flip-flopping night to night.
7. Grade past decisions. Once a sales cycle has passed, CDAI scores whether each earlier decision was right, with the dollar impact.
8. Lock attribution at first touch. A lead’s campaign doesn’t drift on re-sync, and revenue that can’t be tied to a campaign is kept separate, never forced into one.
9. Run data-health checks. Stale or broken feeds are caught before they skew a decision.
10. Update the partner scorecard. Close rate, payouts, refunds, chargebacks, and a risk tier for every lead partner.
11. Update the budget model. An estimate of how much spend could move from Cut campaigns to Scale campaigns. It is an estimate, not a forecast.
12. Send the nightly digest. The decisions arrive in your email as well as your dashboard.

What CDAI connects to

A good marketing analytics software setup starts with the data you already have. CDAI has 10 built integrations, plus two ways to bring in anything else:

You don’t need everything connected on day one. CDAI works with what you connect, and every added source makes each campaign’s number more complete. If your closed deals live in your CRM, connecting it is the step that matters most.

What CDAI calculates

This is the part most marketing analytics software skips. For every campaign, every night, CDAI calculates real profit:

From the same data it also works out true cost per lead, true customer acquisition cost, and margin per campaign.

One campaign, one month

An illustrative example, not client data.

The ad dashboard would show a 3.0 return on ad spend ($30,000 ÷ $10,000) and call it a winner. The campaign did make money, but $3,600 on $30,000 of revenue is a very different story from what a 3.0 suggests, and a small rise in refunds would wipe it out. Try the numbers with our true CAC calculator.

One clear decision for every campaign

Numbers alone don’t move budget, and that’s where most marketing analytics software leaves you on your own. So after calculating, CDAI makes one clear decision for each campaign, chosen from eight:

Each decision comes with the numbers behind it and a confidence level. CDAI also watches for early warning signs, like true cost per lead rising faster than the dashboard’s, or close rates slipping, so problems show up before they reach your books.

You stay in control of every move. CDAI recommends, and you decide what changes in your ad accounts. Cut, Pause, and Quarantine are advisory like every other decision: CDAI never changes your ad accounts, and a person acts on the call. Our scale, hold, cut, pause framework explains how to use each call when setting budgets.

How CDAI checks itself

Any marketing analytics software that tells you what to do should be able to prove it’s right. CDAI builds that in:

• It rechecks its own math every night, and it stops on bad data instead of making decisions from it.
• It grades its past decisions. Once your industry’s sales cycle has passed, it compares what happened with what it recommended. Our 30-day retest explains how that grading works.

How CDAI is checked

CDAI was run on 8 simulated businesses, three runs each, where the true answer is known. Every per-campaign check of true cost per lead, true customer acquisition cost and contribution margin matched the database and the engine (966 of 966). It was then run on HubSpot and Salesforce developer accounts. The simulated results are labeled as simulated, and decisions are graded per decision type and per business, never blended into one number.

The method and every result are published in the contribution margin marketing validation report.

CDAI vs. typical marketing analytics software

CDAI doesn’t replace every analytics tool. If you run an online store and want to know which channel drove a sale, attribution tools are built for that; see our comparisons of Triple Whale vs Rockerbox and the Northbeam alternative. Here is where the two approaches differ:

The right marketing analytics software depends on the question you need answered. Many teams use both: an attribution or web analytics tool to understand the customer journey, and CDAI to decide where the money goes.

Up and running in three steps

1. Sign up and choose your industry, so decisions are graded against your real sales cycle.
2. Connect your ad accounts and CRM. Add partner, call tracking, or payment tools when you’re ready.
3. Read your first results after the first nightly run, in the dashboard and your email summary.

Want to see what your numbers look like first? Start with our lead quality guide, or see pricing.

Marketing analytics software FAQs