On this page
- Define the client readiness decision
- Use seven qualification-review steps
- Preserve the versioned decision log
- Ask ten evidence-based readiness questions
- Current MarketPulse research workflow
- Separate product and agency responsibilities
- Test capacity and full service costs
- Review exceptions and permission boundaries
- Copyable assistant qualification brief
- Answers to ten qualification questions
- Review a bounded research workflow
- Worked example: a strong score can conceal a blocked pilot
- Frequently asked questions
Qualify the client market, use case, follow-up capacity, economics, data environment and measurement plan before pricing a recurring intent-data service. Record what is known, missing or blocked and choose a bounded pilot, defer decision or rejection for that actual scope. A readiness score is a decision aid, not proof of future growth or permission to activate data.
Who this is for: Agency sellers, solutions consultants, operators, and reseller leaders who need a repeatable discovery scorecard for intent-data prospects.
Define the decision intent data is intended to inform. It should never be presented as proof that a person is ready to buy or as permission for an unreviewed action.
Current MarketPulse offer: intent-data plans start at $500/mo. See the product, demo, and current plans. Updated October 3, 2026.
Define the client readiness decision
A strong prospect has a definable market, commercially meaningful topics, enough accounts or traffic to prioritize, a named action owner, a usable CRM or destination, conservative deal economics, and willingness to measure outcomes. Weak fit includes tiny markets, no follow-up capacity, demand for guaranteed leads, or prohibited data use.
Use seven qualification-review steps
- 1. Confirm the client outcome and current prioritization problem.
- 2. Test ICP clarity, addressable market, topic relevance, traffic, and signal volume.
- 3. Inspect sales capacity, SLA ownership, CRM stages, and outcome return.
- 4. Map required identity, enrichment, validation, and activation destinations.
- 5. Review privacy, security, channel policy, suppression, and contract readiness.
- 6. Model total cost, conservative value, and stop thresholds.
- 7. Score fit, document open evidence, and choose pilot, defer, or disqualify.
Preserve the versioned decision log
Maintain one versioned record from the first client question through the final commercial decision. Record the eligible market, topic definition, signal source, observed time, identity state, validation state, fit decision, suppressions, reviewer, approved next action, downstream disposition, and fully loaded cost. Do not overwrite rejected, expired, duplicated, or corrected evidence. Preserve the original record and add a reason-coded disposition so the agency can explain what changed. Review the log with the client at an agreed cadence, then use the evidence to tighten qualification, remove noisy topics, revise service scope, and decide whether to stop or expand. This operating record is also the source for renewal reporting, exception handling, and any claim about adoption or outcomes. A polished dashboard without this audit trail can hide weak process quality instead of improving it.
The first control for this workflow is: Confirm the client outcome and current prioritization problem. The final control is: Score fit, document open evidence, and choose pilot, defer, or disqualify. Those bookends keep the service tied to a buyer decision rather than raw signal volume.
Add a short review note whenever the policy, topic definition, client scope, source, identity rule, activation path, or outcome definition changes. The note should identify who approved the change, which records or clients it affects, and whether earlier results remain comparable. This helps expose process changes that might otherwise be mistaken for performance improvements. It also gives account teams a plain-language explanation when volume, acceptance, cost, or outcomes move between reporting periods.
Ask ten evidence-based readiness questions
1. Is the ideal customer profile observable?
The client should name firmographic, role, problem, geography, and exclusion criteria.
Watch-out: A vague ICP creates noisy data and endless revisions.
2. Is there enough market to prioritize?
The service helps when there are more plausible accounts than the team can research.
Watch-out: It adds little when every possible account is already known.
3. Do relevant topics exist?
Topics should map to real problems, categories, competitors, implementations, or costs.
Watch-out: Broad interests rarely justify direct action.
4. Can someone act within an SLA?
A named owner must review and route evidence while it is fresh.
Watch-out: An unworked feed produces no learning.
5. Can outcomes return?
CRM or disposition data should show acceptance, meetings, opportunities, and errors.
Watch-out: Without feedback, threshold changes lack direct outcome evidence.
6. Do economics support the service?
Conservative deal value and capacity should justify fully loaded cost.
Watch-out: Optimistic pipeline should not fund the model.
7. Are data uses permitted?
The client needs a clear purpose, access policy, retention, suppression, and channel rules.
Watch-out: A vendor contract alone does not establish compliance.
8. Are identity states understood?
Known person, candidate person, account, domain, and unresolved traffic need separate handling.
Watch-out: False precision damages trust.
9. Does the client accept human review?
Approval should precede outreach, audience upload, CRM write, or spend.
Watch-out: Full automation from one signal is a red flag.
10. Can both sides agree to stop?
The pilot needs failure criteria and an exit path.
Watch-out: A pilot without a stop rule becomes an indefinite implementation.
Current MarketPulse research workflow
BrandWell MarketPulse: intent data starting at $500/mo. Find people researching topics relevant to what you sell, apply saved ICP filters, and review available contact details before taking action.

MarketPulse plans are starting at $500/mo. Verify current package scope and offers on the product page.
| Plan | Topics and refreshes | Monthly exports |
|---|---|---|
| Starter | 1 topic, weekly | 25,000 contacts |
| Growth | 3 topics, daily | 100,000 contacts |
| Scale | 10 topics, daily | Unlimited contacts |
Swipe the table to see all columns.
A pull retrieves available data from the previous 24 hours for one topic. Daily use across all included topics provides 90 Growth pulls or 300 Scale pulls in a 30-day month. Weekly Starter pulls vary by calendar month. Available audience size and contact fields vary, and audiences may overlap. Refreshes stop at the plan limit without overage charges.
- Find and qualify: search the topic catalog, save your ICP, and review the people and companies that match.
- Act on the research: export qualified contacts or prepare an Outreach or Direct Mail workflow. Connected products, channel usage, and fulfillment may cost extra.
- Get help from AIMEE: Growth and Scale include AIMEE for the initial user to research accounts and prepare the next step through connected tools.
Agencies and other service businesses can build client deliverables around their available Intent Scans and exports. Keep each client’s scope, permissions, and service fees clear. A subscription is not a promise of a white-label platform or exclusive access to a market.
Explore MarketPulse and watch the demo or compare plans starting at $500/mo. Any early-access discount is a separate, time-limited offer shown to an eligible recipient.
Separate product and agency responsibilities
BrandWell MarketPulse is topic-based intent-data software for businesses and agencies. Choose relevant research topics, apply saved ideal-customer-profile filters, review available names, roles, companies and contact details, and export the audience or prepare a connected workflow. Plans start at $500/mo. TrafficID identifies visitors to your own website and is a separate product. A MarketPulse subscription does not by itself promise a white-label portal, custom API implementation, exclusive topics, or managed client delivery.
Review an available MarketPulse topic, saved ICP and actual preceding-24-hour matches for the agreed research purpose. AIMEE can organize supplied company context through configured tools. Custom CRM work, outreach, campaign operation and agency delivery require separately verified scope, source rights and fees.
Use the current plan table above for standard topic, refresh and export allowances. Eligible early-access pricing is separate. Include actual agency setup, review, support and channel usage in a client service cost model.
Scope the service around defined inputs, human review, a client action and actual outcome return. MarketPulse supplies research. Custom integrations, managed delivery and client interfaces require separate implementation; a product subscription does not establish those agency capabilities.
Test capacity and full service costs
Model the actual software allocation, setup, review labor, support, destination work and channel spending. Compare those costs with written client budget and available operating capacity. Stress-test extra corrections, fewer usable records and missing outcomes. Define a pilot fee, cost ceiling, feedback requirement and stop rule; projected pipeline is not funding or realized profit.
Use a stop-or-expand scorecard
Track qualification-to-pilot rate, disqualification reasons, time to decision, expected and realized margin, pilot conversion, accepted signals, action SLA, qualified outcomes, corrections, complaints, and early churn. Review disqualification reasons alongside actual pilot adoption, costs and outcomes.
Important: Intent signals are probabilistic evidence. They do not prove identity, consent, need, authority, budget, stage, qualification, purchase, pipeline, or revenue. Report association and uncertainty honestly.
Review exceptions and permission boundaries
Sellers may override the scorecard to close a deal. Require written exception approval for weak coverage, missing ownership, unusual data use, aggressive guarantees, custom integration, or unfavorable payment terms.
Review actual source rights, necessary fields, access, retention and destination permissions. For discovery, GOV.UK interview guidance recommends neutral questions and concrete examples. This user-research reference informs questioning; it does not validate an agency qualification score or predict a sale. Ask for an example of the client’s current workflow and corroborate constraints before quoting.
- Preserve source, observed time, identity state, confidence, and validation status.
- Separate known people, candidate people, companies, domains, and unresolved visitors.
- Apply customer, employee, competitor, duplicate, geography, consent, and opt-out suppressions before action.
- Require a named human approval before CRM writes, audience uploads, spend, or outreach.
- Give clients correction, export, deletion, escalation, and offboarding paths.
Copyable assistant qualification brief
AIMEE can prepare a qualification brief through configured connected tools. Preserve actual client statements, missing evidence and blocked requirements. Named owners approve service scope and external actions; a score does not establish buyer need or permission to send.
Objective: Score a prospect using approved discovery notes and evidence. Mark pass, fail, unknown, owner, and next proof for every criterion. Recommend pilot, defer, or disqualify. Do not infer sensitive facts, promise results, or send the scorecard externally.
Inputs: approved ICP, topic dictionary, signal source and time, identity state, CRM lifecycle, suppressions, permitted-use policy, and current written commercial scope.
Rules: preserve provenance and uncertainty; never infer budget, authority, consent, or purchase readiness; never expose private behavior in messaging; stop before external action.
Output: decision, reason codes, missing evidence, recommended next step, and audit log.Keep actual sources, unknowns, proposed scores, exceptions and reviewer together. Reconcile the brief against current client scope. Do not silently fill missing evidence with inferred personal facts or change required gates to close a deal.
Answers to ten qualification questions
What should an agency decide before qualifying prospects for an intent-data service, and what client outcome can it responsibly promise?
A strong prospect has a definable market, commercially meaningful topics, enough accounts or traffic to prioritize, a named action owner, a usable CRM or destination, conservative deal economics, and willingness to measure outcomes. Weak fit includes tiny markets, no follow-up capacity, demand for guaranteed leads, or prohibited data use.
What workflow, owners, SLA, quality checks, approvals, and client handoff does intent-service client qualification require?
Assign a named agency owner, client owner, operator, and technical or CRM owner. The operating sequence is: 1) Confirm the client outcome and current prioritization problem. 2) Test ICP clarity, addressable market, topic relevance, traffic, and signal volume. 3) Inspect sales capacity, SLA ownership, CRM stages, and outcome return. 4) Map required identity, enrichment, validation, and activation destinations. 5) Review privacy, security, channel policy, suppression, and contract readiness. 6) Model total cost, conservative value, and stop thresholds. 7) Score fit, document open evidence, and choose pilot, defer, or disqualify. Set the response SLA, log exceptions, preserve uncertainty, and require a client handoff with permitted next steps and ownership.
Which platforms, tools, templates, calculators, and integrations best support qualifying prospects for an intent-data service?
Start with the operating resources described in this guide: Is the ideal customer profile observable?, Is there enough market to prioritize?, Do relevant topics exist?, Can someone act within an SLA?, Can outcomes return?, Do economics support the service?, Are data uses permitted?. Support them with a qualification scorecard, topic dictionary, evidence card, cost model, proposal, CRM disposition fields, client report, and approval checklist. Software should support the workflow rather than define it.
How do manual discovery, automated scoring, proof-first, and pilot-based approaches compare for qualifying prospects for an intent-data service?
Manual discovery records the client’s actual workflow and can expose missing evidence. Automated scoring applies stated rules but requires checked inputs, reason codes and human review. A proof-first approach tests whether representative available research fits the client purpose. A pilot-based approach observes actual delivery and use within a bounded fee and period. Compare their burden and evidence for the same question; none can override required source rights, destination eligibility or an absent action owner.
How should qualification test budget, delivery cost, likely adoption, retail economics, and margin before a pilot?
Model the actual software allocation, setup, review labor, support, destination work and channel spending. Compare those costs with written client budget and available operating capacity. Stress-test extra corrections, fewer usable records and missing outcomes. Define a pilot fee, cost ceiling, feedback requirement and stop rule; projected pipeline is not funding or realized profit.
Which readiness, coverage, quality, adoption, meeting, pipeline, cost, and margin thresholds should qualification use?
Track qualification-to-pilot rate, disqualification reasons, time to decision, expected and realized margin, pilot conversion, accepted signals, action SLA, qualified outcomes, corrections, complaints, and early churn. Review disqualification reasons alongside actual pilot adoption, costs and outcomes.
Which clients are ready for intent-service client qualification, and which prospects should the agency exclude?
Agency sellers, solutions consultants, operators, and reseller leaders who need a repeatable discovery scorecard for intent-data prospects. Best-fit clients also have a clear ICP, sufficient addressable market or qualified traffic, relevant commercial topics, a named action owner, measurable CRM outcomes, conservative economics, and privacy readiness. Exclude clients demanding guaranteed leads, universal identity, prohibited use, or automation without review.
Which signal sources, identity checks, qualification rules, activation steps, and outcome evidence matter most for intent-service client qualification?
Combine relevant topic or first-party behavior with fit, recency, recurrence, identity state, enrichment and validation, suppressions, human acceptance, an approved activation path, and outcome return. Keep every evidence type separate so an inference does not become a false fact.
Which data-quality, privacy, security, scope, billing, delivery, and client-trust risks must the agency control for intent-service client qualification?
Sellers may override the scorecard to close a deal. Require written exception approval for weak coverage, missing ownership, unusual data use, aggressive guarantees, custom integration, or unfavorable payment terms.
What should the qualification scorecard, disqualification rules, and pilot gate include?
A recurring package should connect the client decision to the operating path described in ten questions in an intent-data client qualification scorecard. Define the eligible market, topics, signals, identity states, qualification policy, branded deliverable, portal or export, action SLA, approvals, usage, pricing, scorecard, governance, support, change control, and offboarding. Expand only after the client uses the first module well.
Review a bounded research workflow
Assess the audience and the operating cost before expanding the service. Explore MarketPulse with the data, tools, and client delivery scope you need.
Worked example: a strong score can conceal a blocked pilot
Suppose a fictional scorecard gives two points for each of ten readiness criteria, with a proposed threshold of 16 out of 20. Nine criteria pass and source permission is unresolved, producing an apparent 18-point score. The total cannot authorize activation: the permission gate remains unresolved. Record unknown separately from failed, name the owner and required evidence, and hold the affected work. This score is a local decision rule, not a 90% purchase probability or a validated BrandWell model.
Check actual follow-up capacity
A proposed weekly queue has 100 accounts requiring 12 minutes of review and disposition each: 1,200 minutes, or 20 hours. The client has ten hours available, enough for 50 accounts under that assumption. Either reduce the initial queue, verify a changed workflow or defer. Sending 100 records does not create the missing capacity. Do not call unreviewed accounts uninterested prospects.
Stress-test the economics before quoting
Assume a fictional monthly pilot fee of $1,500. Allocated tools cost $500, eight review hours at $75 cost $600, and support costs $100: $1,200 total, leaving $300, or 20%, before acquisition, setup, general overhead, tax and financing. Four unexpected correction hours at $100 increase cost to $1,600 and produce a $100 loss. These invented inputs are not typical agency margins or BrandWell service fees.
For discovery reporting, suppose 20 prospects have been reviewed, eight are fully ready, six are deferred, four are disqualified and two lack sufficient evidence. Ready share is 40% of all reviewed prospects, or 44.4% of the 18 with completed decisions. Report both denominators and unknowns. It is not a pilot conversion rate, realized ROI or evidence that stricter qualification caused better outcomes.
Prepare a supported BrandWell fit check
Review an available MarketPulse topic, saved ICP and actual preceding-24-hour matches against the written client purpose. Verify public company context and preserve uncertain fields. TrafficID is separately scoped own-site visitor work. AIMEE can organize supplied context through configured tools. Before an Outreach enrollment, audience upload or CRM write, verify actual source rights, destination eligibility, suppressions and the named approver.
Frequently asked questions
Can a high score override missing source rights?
No. Keep mandatory requirements separate from a weighted score.
Does an available research audience prove follow-up capacity?
No. Test actual hours, queue size and ownership.
Are unknown decisions the same as rejected prospects?
No. Report unknowns and their missing evidence separately.
Does a readiness percentage predict purchase probability?
No. A local scoring rule does not establish that probability.
Review the research product: explore MarketPulse and current plans.
Reviewed and updated October 3, 2026.


Farnaz Kia