Intent Data for Agencies: Build Client-Specific Intelligence
An agency can run similar services for several clients while each client needs a different definition of a good buyer. Intent data should reflect those differences. Cortex Marketing AI’s customer-specific learning approach gives agencies a way to connect source selection and campaign feedback to the market each client actually serves.
Create the definition with the client
Ask the client to describe recent customers they would happily serve again. Then ask which inquiries waste time and why. The answers often reveal differences that a campaign brief misses: preferred project size, service geography, implementation complexity, or a particular customer problem. Translate those details into a concise audience definition and qualification rule. Get agreement before launch. This makes later performance conversations more productive because both sides are discussing the same outcome rather than arguing over what the word lead means.
Keep learning specific to the account
Two clients in the same industry may win different kinds of business. One may specialize in premium service, while another competes on a standardized offer. Their feedback should remain distinguishable. Discuss how client data is handled and separated, what the agency can access, and what rights apply when an engagement changes. A reusable agency process can still produce client-specific intelligence. Standardize the workflow where that helps efficiency, while preserving the differences that determine whether a prospect is commercially valuable.
Report the decisions the data changed
A useful agency report explains what the team learned and what it will do next. For example, one research source may produce strong conversations but long sales cycles, while another generates quick inquiries with poor fit. Explain those tradeoffs alongside the metrics. Avoid presenting a higher score or a larger audience as an outcome by itself. The client should understand how the intelligence affected targeting, creative, follow-up, or budget allocation. That makes the work easier to evaluate and gives the next campaign a clear purpose.
How Cortex makes the learning specific to you
With Cortex Marketing AI, the starting point is your market definition. You can shape the relevant sources and signals for a client campaign with a specific acquisition objective, while your lead and customer feedback helps the intent model become more specific to your business.
According to Cortex’s product brief, scoring can begin about 24 hours after a list subscription. The model can learn from customer information fed into the process, including customers who were not on the original list. Useful feedback can come from qualified inquiries, won and lost opportunities, and relevant website or customer behavior available in the configured workflow.
The proprietary value is the learning connected to your niche, offer, geography, and sales cycle. It is not a promise that every signal guarantees a purchase or that every underlying contact is exclusive worldwide. Ask how the customer-specific model, source access, and data rights work in your agreement. The aim is an audience strategy that reflects your business more closely as reliable feedback accumulates.
This is the practical meaning of two-way intent data, sometimes searched as “2 way intent data” or “2 way data intent”: market information informs action, and business outcomes inform the next round of targeting.
A practical example to discuss with your team
The following scenario is hypothetical and illustrates a workflow, not a claimed client result.
An agency serves two home-service clients with different territories and job preferences. It uses a common reporting process but separate audience definitions, source selections, and client outcome feedback.
The first decision is what to count. The team defines a positive outcome as a qualified outcome defined by the individual client. It also records a generic lead that fails the client’s actual acceptance criteria separately, so activity does not automatically become a success in the report. This creates a more useful basis for reviewing the audience.
The proposed source discussion includes:
- Client-specific solution research.
- Documented acceptance and rejection reasons.
- Client-level booking and revenue outcomes.
After the campaign begins, the team reviews actual records rather than relying only on a summary score. It checks whether the right people received attention, whether follow-up happened, and whether the outcome labels describe what the buyer confirmed. If the evidence points to a source mismatch, it revises the source plan. If the audience fits but execution failed, it addresses the operational problem.
The review focuses on client-approved cost per qualified opportunity. The team keeps the offer and major process changes visible so it can interpret the result. The lesson is a repeatable decision process: use the signal to form a hypothesis, use the conversation to confirm fit, and use the outcome to improve the next hypothesis.
Write the success definition before choosing the audience
For marketing agency owners, the first useful exercise is to finish this sentence: a good outcome is a qualified outcome defined by the individual client. That definition should be specific enough that two people reviewing the same record usually reach the same conclusion. If the definition depends on a conversation, record which question establishes the fit. If it depends on a completed purchase, keep earlier milestones separate.
Next, write down what should not count. In this campaign, a generic lead that fails the client’s actual acceptance criteria would be a misleading success signal. The distinction matters because a campaign can appear busy while the sales team spends its time on the wrong work. Clear labels make it easier to see whether the problem sits in the audience, the offer, or the process after the inquiry arrives.
Ask one person from marketing and one person from sales to review a few recent records together. Where they disagree, improve the definition rather than averaging their opinions into an unclear score. This small exercise often reveals hidden assumptions about geography, product fit, timing, or the buyer’s role.
Use the resulting definition in the campaign brief and the review meeting. It becomes the common reference for source selection, feedback, and reporting. You can revise it when the business changes, but record the revision so results before and after the change remain understandable. A stable definition gives the learning process a reliable starting point.
Design a comparison that answers a real question
A pilot becomes easier to evaluate when you specify the alternative. Compare the intent approach with your current process for a client campaign with a specific acquisition objective, using the same definition of a qualified outcome. Keep the offer, service area, and follow-up expectations reasonably consistent where practical. Otherwise, several changes can make the result difficult to interpret.
Decide in advance that client-approved cost per qualified opportunity is one of the measures the team will review. Also record the volume behind the rate. A promising percentage based on two conversations should not receive the same confidence as a stable pattern across a larger, relevant set of outcomes. Small samples can guide the next test without establishing a universal conclusion.
Track meaningful campaign changes as they happen. A new price, different salesperson, improved response time, or unavailable product can affect results independently of the audience. You do not need a complicated research program to keep those facts visible. A simple dated change log can make the review much more useful.
At the end of the test, ask what the evidence supports. You may have a reason to expand, refine the source map, improve execution, or observe longer. A useful pilot does not have to produce a dramatic result immediately. It should reduce uncertainty about a commercial decision and make the next step clearer than it was before you started.
Look for the reasons behind poor-fit inquiries
When a campaign produces poor-fit inquiries, group them by reason before making a broad judgment. In the context of a client campaign with a specific acquisition objective, the issue might be an unsupported need, unsuitable territory, wrong buying stage, or a misunderstanding created by the message. Those problems require different fixes. A single bad-lead category hides the distinction.
Review enough examples to identify a pattern. One unusual inquiry may not justify changing the campaign. Repeated requests for something you do not offer deserve attention. Check whether the source definition, ad, or page accidentally encourages that interpretation. Sometimes the right correction is a clearer explanation rather than a different audience.
Use exclusions deliberately. An exclusion should reflect a business reason you can explain, not frustration with a small sample. Keep a record of the change and review whether it improved qualified outcomes. If the exclusion removes too much useful volume, revisit the assumption.
This process gives negative feedback a constructive role. You are not simply marking records as failures; you are identifying which conditions make the campaign less relevant. Cortex’s two-way intent approach can incorporate those lessons into the customer-specific strategy. The result should be a more precise working definition of the buyers you can serve, supported by evidence from your own market rather than guesswork alone.
Read the result in the context of the buying cycle
The time between first interest and a completed purchase affects how you interpret the campaign. If a client campaign with a specific acquisition objective involves several decisions, early responses may reveal fit before they reveal revenue. Keep those stages visible. An accepted opportunity is useful evidence, but it should not be reported as a completed customer.
Compare groups that have had a reasonable opportunity to progress. Newer inquiries naturally contain more unresolved outcomes. If you mix them with older records without explanation, the conversion rate can become misleading. A simple cohort view, organized by when inquiries entered the process, can help your team see the pattern.
Update delayed outcomes when they become known. A prospect who returns after a pause should not remain permanently labeled as a failure. Equally, a verbal expression of interest that never becomes a qualified opportunity should not stay in a success category indefinitely. Consistent updates make the feedback more informative.
Use the review to decide what to do next. If fit is strong and the sales cycle is simply unfinished, more observation may be appropriate. If fit is weak, waiting alone may not solve the problem. A two-way intent process is valuable when it helps distinguish those situations and refine the next action. The right response depends on the evidence, not on an arbitrary reporting deadline.
Questions to answer before the next campaign
Has the client approved the lead definition?
Start with the business definition in this guide and apply it to a few recent records. Where the team disagrees, clarify the rule before expanding the audience. A useful answer should change how you select, qualify, or serve a prospect.
How is account-specific learning handled?
Bring this question into the setup discussion with Cortex and the person responsible for follow-up. Confirm the actual workflow, available information, and ownership of the next action. Write down the answer so it remains clear after the campaign launches.
What campaign decision changed because of the feedback?
Standardize your process while keeping each client’s success criteria and learning distinct. Report qualified outcomes and the decisions behind the next test.
Does a strong intent signal guarantee a customer?
No. A signal helps prioritize a possible opportunity. The buyer’s actual need, your offer, timing, and execution still influence the result. The advantage of a two-way process is that those real outcomes can help refine future decisions.
Make your next audience decision more informed
If you want to design a client-specific intent program, bring one priority offer, a few representative customer examples, and your main acquisition challenge. Cortex can help you discuss sources, signals, feedback, and a sensible first test.
Book a call with Cortex Marketing AI to explore a plan built around your customers. Explore Cortex’s custom buyer intelligence approach.
