How to Vet Market Research Firms for Business Succession: A Practical Checklist
A buyer’s checklist for vetting research firms using Bayesian ratings, credibility signals, and retention-focused diligence.
When ownership is changing hands, market research is not a “nice to have.” It is one of the fastest ways to test whether the business is actually worth what the parties think it is, whether customers will stay after the transition, and whether the market still supports the price, positioning, and growth story being sold. The challenge is that many buyers and sellers shop for research firms the wrong way: they compare glossy decks, case studies, and brand names, but not the signals that marketplaces use to separate strong vendors from weak ones. This guide translates those marketplace-grade credibility signals—especially Bayesian ratings, verified outcomes, certification depth, and methodological transparency—into a practical vendor vetting checklist for succession planning research.
For business owners, operators, and advisors focused on small business valuation, market expansion risk, and continuity during a transition, the right research partner can reduce disputes before they start. It can also make it easier to defend a deal price, strengthen a family succession discussion, and identify weak points in customer retention or market fit early enough to fix them. If you are building a broader diligence process, it helps to think in the same way a strong platform would: compare vendors based on structured evidence, not marketing language. That mindset is especially useful when you are deciding between a specialist firm, a full-service consultancy, or a more modular provider such as one of the qualtrics alternatives that may fit certain survey needs but not a full succession workstream.
1. Start with the succession question, not the vendor category
Define the decision the research must support
The first mistake in market research due diligence is asking for “some customer research” without specifying which succession decision it must inform. Research for a transfer of ownership is usually trying to answer one of four questions: What is the company really worth, what drives retention, what risks erode goodwill after transition, and what market assumptions support the growth plan? If the firm cannot map its approach to a specific transaction question, you are buying generic insight instead of decision-grade evidence. A good vendor should be able to explain how their findings will be used in negotiation, governance, tax planning, or post-close integration.
This is where merger lessons become relevant even for small businesses: when strategic change is on the table, weak assumptions become expensive. A disciplined research scope should distinguish between valuation support, customer retention analysis, and market fit testing. Each has different data needs, different error tolerances, and different stakeholders. For example, a family-owned distributor may need customer interviews plus churn modeling, while a local services firm may need only a segmented survey and competitor benchmark.
Separate exploratory work from diligence-grade work
Not all research is equal in a succession context. Exploratory work helps you generate hypotheses; diligence-grade work helps you defend a recommendation. A vendor that is excellent at brainstorming brand concepts may still be the wrong choice for buyer-side diligence because the data collection is not auditable enough for legal or financial scrutiny. That is why you should ask whether the firm can produce work that stands up to the same expectations you would apply to a valuation report or tax memo. If you need a framework for structuring evidence, borrow from guides like DCF and comparables methodology—not because research is finance, but because both require transparent assumptions.
Good succession research often combines primary interviews, survey work, and secondary market analysis. The question is whether the firm can sequence those methods logically. For example, customer interviews may reveal why buyers stay, while a survey quantifies how widespread those reasons are. Secondary data may show whether the local market is contracting or expanding, which affects the sale narrative. A strong vendor should be able to explain that logic without hand-waving.
Write the scope before you compare firms
Before you start vendor outreach, create a one-page scope document listing the business event, the decision date, the stakeholders, and the exact outputs you want. Include the target audience for the research, the geography, the competitor set, and any constraints like confidentiality or timing. This is the simplest way to avoid overbuying. It also makes proposals comparable, which is essential if you want to use a structured vendor vetting checklist instead of an emotional shortlist.
Think of it like the difference between a generic checklist and a real review system. A firm may look attractive in isolation, but the real question is how it performs against a consistent standard. For a useful model of score-based evaluation, see how review systems build trust by defining criteria up front. Your research scope should do the same.
2. Use marketplace-style credibility signals to screen the firm
Bayesian ratings are a better first filter than raw star ratings
Top marketplaces do not rely on simple averages because a five-star average from four reviews is not nearly as trustworthy as a 4.7 average from 400 reviews. They use Bayesian weighting to reduce volatility from small sample sizes and to reward firms whose reputation has been validated repeatedly. That same logic is useful when vetting market research firms. A vendor with one glowing case study is not inherently strong; a vendor with consistent outcomes, repeated client feedback, and a meaningful sample size is much more credible. When you review marketplace listings, the important question is not just “What is the score?” but “How much evidence sits behind the score?”
Use that concept to interpret agency profiles, referrals, and directories. If a firm has awards, testimonials, and reviews, check whether those signals are broad and recent, not old or cherry-picked. This is the same logic behind analytics dashboards that emphasize trend quality over isolated spikes. In vendor selection, steady performance matters more than one standout project. Ask for recent clients, project dates, and outcome types so you can distinguish enduring quality from a temporary reputation burst.
Look for verification, not just reputation
Marketplace-style credibility depends on third-party verification. That means awards, certifications, published methodologies, and audited or reviewable processes. In the source material, top agencies are highlighted through recognition such as MRS awards, ESOMAR awards, ARF awards, and similar industry honors. Those are not just trophies; they are signals that a firm can operate under professional standards and withstand peer scrutiny. For succession-related work, that matters because you need a partner who understands confidentiality, sampling rigor, and defensible reporting.
As you review candidates, ask which credentials actually apply to the team doing your project, not just the agency as a whole. Certifications related to research practice, privacy, and data handling are especially useful when customer information will be collected or sensitive ownership issues may surface. It is also smart to ask what privacy frameworks they follow if interviews or surveys involve personal data. A firm that cannot explain data handling clearly is creating risk for your transaction.
Use a “signal stack,” not a single proof point
The best way to avoid overconfidence is to combine signals. A credible firm usually shows consistency across method, team, and evidence of outcomes. For example, a provider may have strong client logos, a knowledgeable lead researcher, and a clear process for handling respondent recruitment. Another might have impressive branding but weak explanations of how respondents were selected or how bias was controlled. You want the first type, even if the second has prettier materials.
For more on how signal stacking works in real-world purchasing, the logic behind value comparisons is helpful: features matter, but only when you understand what is included and what is not. In research vendor vetting, the same principle applies. A strong signal stack includes methodology, references, certifications, sample transparency, and evidence that the firm can complete projects similar to your need.
3. Evaluate methodology like an auditor, not a shopper
Sample design and respondent quality are non-negotiable
Succession planning research is only as strong as the sample behind it. If the respondent group is poorly chosen, your conclusions can be wildly misleading even if the survey is beautifully designed. Ask where respondents come from, how they are screened, whether the firm uses double opt-in or other quality controls, and how they prevent fraud or duplicate responses. If the project depends on high-value B2B customers, the firm should be able to prove it can reach the right decision-makers and not just anyone willing to click a link.
This is one reason to scrutinize firms that rely on broad panels without explaining validation procedures. You are not buying volume; you are buying signal integrity. A useful analogue is the way low-cost analytics tools can suggest trends but still require human validation before action. The same principle holds in research: quantity does not replace quality. Ask the vendor to explain how they measure respondent authenticity and what thresholds they use to reject low-quality data.
Bayesian thinking helps you judge uncertainty, not eliminate it
One of the most valuable ideas top marketplaces borrow from statistics is that ratings should account for uncertainty. That is also how you should interpret research findings during a business transition. A good vendor does not pretend certainty where none exists; instead, it tells you where the data is strong, where it is directional, and where further validation is needed. This is especially important if you are studying customer retention after a founder exits or a key manager retires. You want the firm to quantify confidence and note any subgroup limitations.
Ask the vendor to show how it handles margin of error, confidence intervals, or other forms of uncertainty relevant to the method used. If they provide only hard conclusions with no discussion of limitations, that is a warning sign. In the succession context, uncertainty is not a weakness—it is a fact to be managed. The best firms help you make a decision with clearer odds, not false certainty.
Check whether the method matches the business model
Research methodology must fit the business model being transferred. A consumer brand with repeat purchase behavior needs a different approach than a service business with referral-based sales. Likewise, a B2B company with long sales cycles needs a different retention study than a retail operation with monthly traffic. The vendor should explain why it chose interviews, surveys, ethnography, competitive analysis, or mixed methods for your case. If it presents a one-size-fits-all package, assume the thinking is shallow.
If you are validating a local or regional business, the company may need a field-heavy approach that resembles geo-aware buyer research. If the business sells online, you may need digital behavior analysis and cohort tracking. If it serves a niche professional audience, the study may need expert interviews plus account-level retention review. The right method is the one that answers the ownership-transition question with the least noise and the greatest defensibility.
4. Test for valuation relevance, not just “insight quality”
Can the firm connect demand signals to business value?
A market research report can be interesting and still useless for a transaction. For succession, the research must connect demand signals to valuation drivers such as revenue durability, concentration risk, pricing power, and customer loyalty. A vendor should be able to explain how its findings influence a buyer’s view of risk and return. For example, if customers value the founder’s personal service more than the brand itself, that changes transition risk and may affect the purchase price or earnout structure.
There is a useful parallel in valuation based on comparable sales: the asset is only worth what the market will support, not what the seller hopes. Research should reveal whether the business has transferable value or founder-dependent value. If the vendor cannot translate customer sentiment into commercial implications, it is probably not experienced in buy-side research.
Look for proof of business-impact translation
Strong firms do not stop at “what customers said.” They explain what the answers mean for pricing, product mix, retention, channel strategy, or onboarding. This is vital during ownership transitions because the buyer needs more than raw data; they need a plan. Ask for example deliverables that show how survey data became a recommendation, a forecast adjustment, or a risk mitigation plan. If the firm has only academic-style outputs, the translation layer may be missing.
You can also borrow from the discipline of research-to-revenue analysis: the point is not discovery alone, but how discovery changes economic outcomes. In succession planning, the best vendors identify whether customers are loyal to the entity, the relationships, the product, or the founder. Those distinctions directly affect value preservation after the transition.
Demand scenario work, not just a single base case
Any serious succession project should consider best-case, base-case, and downside scenarios. What happens if top customers stay? What happens if 20% of revenue is founder-coupled? What if the market is flat but the customer base is sticky? A vendor that builds scenarios shows that it understands uncertainty and transition risk. This helps the buyer, seller, and advisors align around what can be assumed in the deal and what must be earned after close.
For another example of scenario-based decision making, see how inventory changes affect pricing. In succession, the “inventory” is often customer trust, brand equity, and operating continuity. Those are not static assets, and the research should reflect that dynamic reality.
5. Vet customer retention analysis like a revenue auditor
Ask how retention is measured, not just whether it is studied
Many firms claim to assess customer retention, but the key question is how they measure it. Are they looking at cohort retention, repeat purchase frequency, renewal rates, wallet share, churn reasons, or share-of-choice? A succession buyer needs retention evidence that matches the business’s actual revenue engine. If the vendor cannot define the retention metric in business terms, the analysis may be too generic to support a deal.
Retention analysis should also separate customer behavior from customer sentiment. A customer may say they love the business but still buy elsewhere because of convenience or price. Another may complain but remain highly loyal because the switching cost is high. Good research distinguishes between what people say and what they do. That distinction is especially important in succession situations where the founding relationship can distort customer interviews.
Segment by value, not just by demographics
One of the easiest ways to misread retention is to analyze all customers together. The best vendors segment by account value, tenure, product mix, geography, buying frequency, or channel. That helps you see whether the “average customer” is actually an illusion hiding several very different groups. For example, a business may have strong retention among small accounts but fragile retention among high-margin enterprise customers. That distinction is deal material.
When you are comparing firms, ask them to show how they would identify the customers most likely to defect after an ownership change. This is the type of work that can meaningfully alter a succession plan. It also helps with post-close prioritization, because the new owner can focus on the accounts that matter most. For market-fit and positioning questions, a useful analogy is distinctive brand cues: retention often depends on which cues customers actually remember and value.
Demand a retention-risk heat map
Retained customers are not all equally safe. A strong research deliverable should identify where the risk is concentrated, such as customers tied to a founder relationship, a legacy service rep, a unique product customization process, or an informal approval path. A heat map can show which segments require immediate post-transition protection. This is more actionable than a generic satisfaction score.
As a buyer, you want the vendor to answer: Which customers are at risk? Why? How much revenue do they represent? What action would reduce the risk? This transforms research from descriptive reporting into transition planning. A good vendor will help you prioritize customer outreach, communication plans, and service continuity measures before and after close.
6. Compare vendors with a practical scorecard
Use a weighted rubric, not a vibe check
When multiple firms look capable on paper, a weighted scorecard makes the decision more objective. Score each candidate on methodology fit, credibility signals, relevant sector experience, retention analysis capability, valuation relevance, privacy/data handling, and communication quality. Assign heavier weight to the criteria that matter most to your transaction. For example, if the transfer is heavily dependent on repeat customers, retention and sample quality should count more than brand-name recognition.
Below is a practical comparison table you can use with your team. It is deliberately designed for succession planning research, not generic market research. Customize the weights based on whether you are selling, buying, or planning a transfer between family members or partners.
| Criterion | What Good Looks Like | Red Flags | Weight |
|---|---|---|---|
| Methodology fit | Approach matches business model and decision question | One-size-fits-all survey package | High |
| Sample quality | Clear sourcing, screening, and fraud controls | Unclear panel sourcing or no validation details | High |
| Credibility signals | Recent references, awards, certifications, published methods | Only generic testimonials or old case studies | Medium-High |
| Retention analysis | Segments by revenue, behavior, and risk | Only satisfaction scores or top-line NPS | High |
| Valuation relevance | Connects findings to pricing, risk, and transferability | Insight with no commercial implications | High |
| Privacy and compliance | Clear handling of respondent and customer data | No clear privacy policy or data controls | High |
| Communication quality | Explains tradeoffs, limits, and next steps plainly | Overconfident conclusions with no nuance | Medium |
Ask for an evidence packet before you hire
Before signing an engagement letter, request a small evidence packet: a sample proposal, a redacted deliverable, a methods appendix, two references, and a project team bios page. This will tell you more than a polished sales presentation ever could. You are trying to assess how the firm behaves when no one is watching. That is exactly the kind of question top marketplaces answer with reviews and performance history.
For operators who already use structured tools to compare vendors and products, the discipline resembles how price tracking reveals real value over time. The same approach can uncover whether a research firm consistently delivers quality or merely sells well. If the firm resists sharing basic artifacts, treat that as a material warning sign.
Interview the team who will actually do the work
One of the most common hiring mistakes is meeting senior leadership in the pitch and a different, less experienced team after the contract is signed. Always ask who will design the instrument, manage respondent quality, analyze the data, and present findings. If those names are not specified, the firm may be staffing your project with a generic bench. You need assurance that the people selling the expertise are also responsible for delivery.
For broader lessons in consistent execution, consider team consistency under pressure. Research firms win trust the same way high-performance teams do: by matching promise to delivery repeatedly. A succession project is not the place to discover that the A-team only appears in the pitch meeting.
7. Treat certifications, privacy, and ethics as deal-protection tools
Research certifications are not decorative
Certifications in research practice, privacy, and data protection are useful because they indicate the firm has invested in repeatable standards. In the source material, industry credentials such as research practice certificates and privacy certifications are highlighted as evidence of professionalism. For succession work, these credentials matter because the research often touches customer contact lists, revenue information, and sometimes family or employee dynamics. You are not only evaluating insight quality; you are evaluating risk handling.
If your project spans multiple markets or regulated categories, ask whether the firm has experience with sector-specific compliance. A firm that understands privacy rules, respondent consent, and secure storage can reduce legal exposure. For a related diligence mindset, supplier risk checks show how operational weakness can become a business risk. Research vendors deserve the same scrutiny because they can expose sensitive data if they are careless.
Consent, confidentiality, and data minimization should be explicit
Vendors should be able to explain how they collect consent, what data they retain, who can access it, and when data is deleted. They should also explain data minimization: collecting only what is necessary to answer the research question. In a succession scenario, that matters because you do not want the research process to create new disclosure problems. For example, customer interviews should not inadvertently reveal ownership issues before the business is ready to communicate them.
Ask how the firm handles personally identifiable information, contact list imports, recording permissions, and storage security. If it uses subcontractors, ask how those parties are vetted and supervised. A good firm will treat these questions as normal, not hostile, because secure handling is part of the service. If they seem defensive, proceed carefully.
Ethics matter when family and employees are involved
Succession planning research can expose sensitive family or employee tensions. For instance, a founder may believe customers are loyal to the brand, while employees know many accounts depend on personal relationships that have never been documented. A good vendor handles such situations carefully, avoiding leading questions and unnecessary gossip. Ethical research is not merely about compliance; it is about preserving trust during a fragile transition.
If your business has intergenerational complexity, it can help to borrow the empathy-first mindset from guides like organising with empathy. The principle is simple: gather facts without inflaming conflict. The best vendors know how to surface hard truths while reducing the chance that the process itself becomes a source of friction.
8. Build the diligence workflow around decision deadlines
Map the research timeline to the transaction calendar
Research only creates value if it lands before decisions are made. That means your vendor selection must be aligned with legal, tax, financing, and negotiation milestones. If the results arrive too late, they become an academic record instead of a decision tool. Set deadlines for proposal review, kickoff, fieldwork, analysis, and board or family presentation. Then ask each firm whether it can realistically meet them without cutting quality.
A practical workflow is to start with a short discovery call, issue a scoped RFP, narrow to two or three firms, request redacted examples, and then select the team that combines methodological fit with trustworthy execution. If the firm cannot move quickly but carefully, it may not be suited to transaction work. In succession contexts, timing matters because opportunities for clean data collection can disappear as soon as rumors spread. The process should therefore be discreet, fast, and tightly governed.
Use milestones to keep the project honest
Do not wait until the final report to discover that the approach was wrong. Require milestones: instrument review, sample approval, interim readout, and draft findings. Each checkpoint should allow you to verify that the work still answers the original business question. This reduces rework and prevents the vendor from drifting into irrelevant analysis.
One of the best models for milestone discipline is the way accessible how-to guides structure complex information for a specific reader. The same clarity helps research engagements. If you cannot explain the research plan to a non-specialist family member, partner, or board member, the plan probably needs simplification.
Document assumptions so they can survive scrutiny
Every succession-related research project should end with a documented list of assumptions: sample limitations, response biases, market conditions, and interpretation caveats. These assumptions should be visible in the final readout and preserved for legal or financial review. That way, if the business is later challenged on valuation, transition risk, or customer dependency, the logic behind the research is traceable. Transparent documentation is especially valuable when ownership transitions trigger disagreements.
For a broader lesson on turning uncertain evidence into a usable decision, look at how risk-aware forecasting handles changing conditions. Good research does not eliminate uncertainty; it makes uncertainty manageable. That is the real value you are buying.
9. Practical checklist: questions to ask before you hire
Checklist for initial screening
Use the following checklist as your first pass when evaluating vendors. It is designed to be quick enough for a shortlist review but rigorous enough to remove weak candidates before they waste your time. A firm should be able to answer these questions clearly, with examples, in plain English. If they cannot, keep looking.
- What exact succession decision will this research support?
- What method will you use, and why does it fit this business?
- How do you source, screen, and validate respondents?
- Which credentials, awards, or certifications are relevant to this project team?
- How do you handle privacy, consent, and data retention?
- Can you show an example of research that changed a commercial decision?
- How do you measure customer retention and segment risk?
- How do you communicate uncertainty, limitations, and confidence levels?
- Who on your team will do the actual analysis and presentation?
- Can you provide two references from similar projects?
Checklist for proposal comparison
When you receive proposals, score them using a consistent format. Weight the items that matter most to your succession goal, not the ones that sound the most impressive. For example, a strong consumer-brand qualitative shop may not be the right partner for a buy-side valuation support project if it cannot quantify retention risk. Make sure the proposals are comparable on scope, sample, deliverables, and timeline so you are not comparing apples to oranges.
If you want an additional lens for comparing vendors and service levels, the discipline used in booking-direct versus platform decisions is useful: direct isn’t always best, and platform convenience isn’t always enough. Likewise, the “best” research firm depends on the problem, not on prestige alone. Your scorecard should reward fit, not flash.
Checklist for final due diligence
Before signing, confirm the following: the lead researcher is assigned, the method is documented, the respondent plan is approved, the data-handling policy is reviewed, and the deliverable format is suitable for legal and financial stakeholders. Also confirm who owns the data and whether you will receive raw files, codebooks, transcripts, or only a summary report. In a succession environment, access to underlying evidence can be critical if the findings need to be revisited later.
When in doubt, remember that the goal is not to find the firm with the loudest claims. The goal is to find the firm whose process best resembles a credible marketplace ranking: evidence-weighted, transparent, and robust against noise. That approach gives you the best chance of protecting value and relationships during a transition.
10. A simple buyer’s framework for choosing the right firm
Best-fit profile for succession planning research
The best vendor for succession planning is usually not the largest or the most famous. It is the one that can connect customer evidence to valuation, explain uncertainty honestly, and show a track record of rigorous delivery. In practice, that means a team with relevant sector experience, strong sampling discipline, privacy competence, and the ability to speak to business owners and advisors in a practical way. The firm should understand that your project is about transferability, continuity, and defensible decisions—not just data collection.
If you are comparing a specialist boutique to a larger generalist, choose the one that can produce the clearest answer to your specific question. For some projects, that might mean a deep customer-retention study. For others, it might mean a focused market-fit assessment or a combined valuation-support project. The right answer depends on the business, not the vendor’s brand.
When to walk away
Walk away if the firm overpromises certainty, hides its methodology, cannot explain who will do the work, or treats privacy questions as an inconvenience. Also walk away if its references are weak, its deliverables are vague, or its proposal reads like a generic brochure. In succession work, ambiguity becomes expensive quickly. You want clarity before you pay for it, not after.
Another warning sign is when a vendor cannot speak in practical terms about business outcomes. If every answer is abstract, academic, or jargon-heavy, the firm may not be well suited to deal-driven work. The better choice is usually the provider that can explain complex ideas simply and show how the research supports the transfer decision.
Final takeaway
Vetting market research firms for business succession is really a test of whether the vendor can reduce uncertainty in a way that is credible, auditable, and commercially useful. Borrow the same logic top marketplaces use: prefer evidence-weighted credibility over polished branding, Bayesian consistency over tiny-review spikes, and transparent methodology over vague claims. If you build your selection process around that standard, you will make better hiring decisions and better ownership-transition decisions. That is what practical diligence is supposed to do.
Pro Tip: If a research firm cannot explain its sample design, uncertainty handling, and data controls in plain language within five minutes, it is not ready for succession work. Clarity is a credibility signal.
Frequently Asked Questions
What is the difference between market research due diligence and ordinary market research?
Market research due diligence is designed to support a high-stakes decision, such as a business sale, family transfer, or partner buyout. It must be more defensible, more documented, and more closely tied to valuation, retention, and risk. Ordinary market research may be useful for brainstorming or marketing optimization, but diligence-grade work has to stand up to scrutiny from lawyers, accountants, lenders, or buyers.
Why are Bayesian ratings useful when choosing a research firm?
Bayesian ratings are useful because they reduce the distortion caused by tiny sample sizes. A firm with a few strong reviews should not outrank a firm with a much larger body of consistent feedback. In vendor vetting, this helps you focus on reliability over hype.
What certifications matter most for research vendors?
The most useful certifications are those related to research practice, privacy, and data handling. Depending on the project, credentials tied to professional research standards and privacy compliance can be especially valuable. The key is relevance: make sure the certification applies to the people actually doing the work, not just the company logo.
How do I judge whether customer retention analysis is good enough for a succession deal?
Retention analysis should identify which customer segments are most vulnerable, why they may leave, how much revenue they represent, and what actions can reduce the risk. If the vendor only gives you satisfaction scores or a broad NPS number, that is not enough. You need a segmented, business-linked view of retention risk.
Should I choose a generalist market research agency or a specialist?
Choose the firm that best fits the transaction question. A specialist may be better if you need deep retention modeling, buyer-side diligence, or a niche industry perspective. A generalist can work well if it has the right team, methodology, and evidence of success on similar projects. Fit matters more than size or brand.
What deliverables should I request before signing an engagement?
Ask for a redacted sample deliverable, a methods appendix, project team bios, two references, and a clear explanation of data handling. If possible, request an example showing how prior research affected a business decision. These artifacts help you assess quality before committing budget.
Related Reading
- Using AI to Predict What Sells: Low-Cost Tools Small Sellers Can Use Today - A practical look at lightweight forecasting tools and where human validation still matters.
- Best Analytics Dashboards for Creators Tracking Breaking-News Performance - Learn how to separate signal from noise when dashboards make the numbers look better than they are.
- Supply-Chain Risks in the ‘Iron Age’ - A risk-screening mindset you can borrow for vetting any critical vendor.
- Designing Accessible How-To Guides That Sell - Useful for turning complex diligence findings into clear, decision-ready guidance.
- Inside the Grind: What Team Liquid’s 4-Peat RWF Tells Streamers About Consistency and Community Monetization - A strong reminder that reliable execution beats one-off hype over the long run.
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Jordan Blake
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