I think it is always to have a discovery call. Clients can share past controversies because they'd rather tell me than have me find out from Google. So before signing any client, ask them to disclose any information, it could be positive or negative press. I frame it as protecting them, not judging them. I think this approach has saved me from walking into several PR nightmares blindly and helps me build crisis plans around actual vulnerabilities.
We collect a lot of data in order to accept or turn someone down as a customer. This includes their revenue, what they sell and how much of it they sell, the types of customers they sell to and more. The way we get that information is simple: it's legally required as a part of the underwriting process. Every merchant account provider does this but we have higher conversion rates because we promise fast approvals, up to 48 hours from submission. This is usually enough for a prospect to leave their information with us immediately after reaching a landing page.
Getting people to hand over their data used to be a major pain point for me, but then I realized that I was setting them up for it to be a struggle. And that's when I changed my approach. Now I show them what we can do with their data, and I only ask for what we really need. Before, people were dropping off in droves, but since I changed my approach, the data completion rates have actually gone up because people can see the benefits for themselves, not just hear me telling them about it. So here's my advice: if you want people to share their data, show them the value first. Give them a taste of what it's like to work with you earn the right to ask for their data. Don't just bombard them with questions right off the bat.
I used to burn way too much time on calls where prospects spoke in generalities--"We need more leads," "Our audience is pretty much everyone," that sort of thing. Now I keep it simple: before we talk, they get a short Typeform with five very pointed questions. Not a long intake, just the five things I genuinely need to give them useful advice. If they skip it, that's my sign the call probably isn't worth having. One ecommerce client nearly walked away from the form altogether. But once I built their proposal using their own numbers--showing how their conversion rate could move from 2.1 percent to 3.4 percent--they came back almost immediately. They called the analysis "weirdly precise," and we wrapped up the deal three days later. When prospects see you working with their real data, it feels less like guesswork and more like you already understand their business.
Head of Business Development at Octopus International Business Services Ltd
Answered 4 months ago
This used to be one of our biggest choke points--people wanted detailed structuring advice but didn't want to hand over financials, ownership breakdowns, or even their long-term plans. What finally shifted things for us wasn't pushing harder. It was showing what happens when those gaps stay gaps. One of the clearest examples came from a group of Southeast Asian founders setting up holding companies in Europe. They were understandably cautious about sharing investor details and planned acquisitions. Instead of insisting, we walked them through a few before-and-after structures from past clients--sanitized and used with permission--where missing information had created avoidable tax exposure or slowed down licensing. Once they saw those real consequences, the conversation changed. They understood we weren't collecting data for paperwork; we were trying to prevent future deal constraints and reputation issues. Out of that experience we built what we now call the "Three Commitments": - Legal durability - Operational logistics - Growth compatibility During onboarding, we show a simple matrix for each of the three areas: green where we can proceed, grey where we're blocked by missing data, red where the structure simply won't work as described. It's not a pressure tactic. It's a visual diagnosis. Clients can see exactly what we can't solve without their input, and they choose what to unlock. We also reworked the materials we send early on. Instead of polished pitch decks, we share two-page snapshots of actual client journeys--an anonymized Singapore fintech, for example, and how their structure shifted from pre-raise to after their Series A. No sensitive numbers, just a clear picture of the decisions they faced and the timing behind them. Once we started doing this, the dynamic flipped. Clients realized we were helping them avoid unpleasant surprises, and the only way to do that was to be open with the data that actually mattered. You can't force transparency, but you can show why withholding information usually costs more--in cash, flexibility, and trust--than sharing it ever will.
When we work with a clinic on compliance or pricing, we can't say anything useful until we've seen how they actually run day to day. Early on, we tried using detailed intake templates, and most clinics either ignored them or sent back half-filled versions. Too long, too technical, or they simply didn't feel comfortable handing over numbers to someone they'd only just met. What finally broke the stalemate was building those questions into quick, informal discovery calls. Instead of sending a form that asked for "expected patient volume," I'd ask something like, "How many appointments does each clinician usually handle in a week?" and note it down myself. Keeping it conversational made the questions feel far less intrusive, and the answers were usually far more specific. One aesthetics clinic in Oxfordshire is a good example. Their first contact with us was a short email with almost no usable data. After one of these shorter, clearer calls--where I showed how each number tied back to safe scaling under CQC rules--they opened up completely. They ended up sharing their full booking history and margin breakdown, unprompted. Nothing magical happened; they just saw the link between the data and the outcome they cared about: growing without tripping delegation or patient-safety thresholds. People will share what you need as soon as they understand why it matters and feel you're using it to make their world easier, not to poke around for the sake of it.
I've found that people hand over real data only after they feel genuinely understood. So instead of rushing into a spreadsheet conversation, I lead with something they can react to. I'll pull together a quick moodboard, sketch a direction, or talk through how their brand might show up in texture or light. Once they see that I'm already tuned in, their guard drops. A good example: a boutique owner kept dodging any request for customer info. Rather than press her, I mocked up a tiny capsule concept built purely on what I'd noticed in her shop and how her clients moved through it. When I showed it to her, she said, "You actually get us," and that night she sent over her entire sales history without me asking again. When someone feels recognized, they stop holding back and start collaborating.
We lead with a Before & After storytelling approach to earn trust and show why accurate inputs matter. By showcasing case studies, testimonials, and user-generated content across our website, LinkedIn, and email, we highlight measurable client improvements in a way prospects can relate to. When they see the clear link between the inputs and the "after," they are much more willing to share the data we need to give precise advice.
Back when we were still figuring out our sales process, we kept running into the same wall: prospects weren't withholding data because they were being cagey--they genuinely didn't know what we needed or how it factored into our recommendations. So we stopped leading with data requests. Instead, our R&D folks started walking prospects through the decision framework we used internally. If we were discussing probiotics, for instance, we'd show them how we looked at pH shifts, survivability over time, and how different strains behaved together, rather than just rattling off product claims. Once they could see the mechanics behind our thinking, they usually started offering the missing pieces on their own--shelf-life details, storage practices, even the reasons customers returned certain products. One moment that still sticks with me involved a regional chain that refused to share churn numbers on their feminine health line. We brought them behind the curtain on our strain-viability testing--specifically the drop-off we were seeing around the 90-day mark and how that lined up with consumers reporting symptom flare-ups between cycles. That conversation changed everything. They ended up sharing product feedback and velocity data from every region. With that, we tightened the formula and updated the packaging. Three months later, their internal numbers showed our product moving more than 20 percent faster than the SKU we replaced. What I've learned is pretty simple: when you're open about how you operate and why accuracy matters to you, people tend to meet you halfway. Transparency almost always earns you the data you need.
The fastest way I've found to get prospects to share the data needed to give accurate advice is to stop asking for it upfront and start earning it. When I was building Vancouver Home Search, we initially followed the standard playbook, asking about budget, timing, and pre-approval early in the conversation. While those questions seem logical, they often led to vague or inflated answers because people hadn't built enough trust yet. The result was advice that was technically correct but not always aligned with the client's real situation. We changed our approach by flipping the order of the conversation. Instead of requesting personal or financial details right away, we led with value. We created a short, personalized "Market Reality Snapshot" for prospects who registered on our site, showing what homes were actually selling for in their target area, how long successful buyers were taking to win, and where deals were falling apart due to pricing or financing gaps. Once prospects saw data that clearly applied to them, the tone of the conversation shifted. From there, we asked for information progressively, one data point at a time, and always tied it to a clear benefit. Instead of asking, "What's your budget?" we'd say something like, "If I understand what monthly payment feels comfortable for you, I can tell you whether the homes you're looking at are realistic or likely a waste of time." That small change in framing made people far more open and precise with their answers. The results were immediate and measurable. Appointment show rates increased by roughly 30 percent, buyers volunteered more accurate financial details without being pressed, and strategy calls became shorter, clearer, and far more productive. Most importantly, we stopped giving generic advice and started delivering guidance people actually acted on. The key lesson is that people don't withhold data because they're difficult, they withhold it because they don't yet see how it helps them. When you lead with insight and relevance, trust follows, and the data comes naturally.
When I need prospects to share data so I can provide accurate SEO advice, I start by explaining *why* the data matters. I've found that transparency builds trust. For example, a client once hesitated to share Google Analytics access because they feared I'd judge past performance. Instead of pushing, I walked them through how metrics like bounce rate, keyword traffic, and conversions directly shape the strategy. Once they understood that my goal was optimization, not criticism, they opened access—and within three months, we increased organic traffic by 47%. The key is to make it a partnership, not a transaction. I tell prospects, "The more you share, the better your results." I also offer to sign NDAs and use data anonymization to address privacy concerns. In one case, I built a sample report using publicly available data to show what insights they were missing by withholding information. That visual demonstration turned hesitation into cooperation. The takeaway: show the value before demanding access. When prospects understand how the data empowers them, they'll share it willingly.
To get prospects to share the data I need to give accurate advice, I focus on lowering the perceived risk and showing immediate value. Early on, I stopped asking for full briefs upfront and instead asked for one or two specific inputs tied to a clear outcome, like guest count and venue photos so I could flag layout issues before they became costly. In one case, a corporate client was vague about budget and space constraints; after I shared a quick mock layout based on partial info, they opened up with full specs. That shift turned a stalled inquiry into a confirmed booking within a week. From that experience, my advice is to earn data by using it visibly and responsibly. Show prospects what you can do with limited information, then explain what would improve if they shared more. After implementing this approach, our inquiry-to-booking conversion improved by roughly 20%, and revisions dropped because recommendations were more accurate from the start. When people see that better data leads to better decisions—and fewer surprises—they're far more willing to share it.
I've learned that prospects won't share data until they trust you're going to use it to help them, not just sell to them. The shift happened for us at Fulfill.com when we stopped asking for data upfront and instead started by diagnosing their biggest pain point first. Here's what actually works: I begin every conversation by asking about their current fulfillment challenges, not their order volume or SKU count. Once they describe a problem like late deliveries or inventory accuracy issues, I share a specific example of how we solved that exact problem for another brand. Only then do I explain what data I need to give them accurate recommendations, and more importantly, why each piece matters. For example, when an apparel brand told me they were losing customers due to slow shipping, I explained that I needed their current order volume by region and average package weight to show them which of our warehouse partners could get them to two-day ground shipping for 80 percent of their customers. I showed them a simple spreadsheet template and explained that with this data, I could model their exact costs and transit times. They sent it within an hour because they understood the direct benefit. The before and after was dramatic. Before this approach, we'd get maybe 30 percent of prospects to share their data, and it would take multiple follow-ups. After implementing this consultative method, we get complete data from over 75 percent of qualified prospects on the first ask, and our close rate jumped from 18 percent to 34 percent. I also found that being transparent about what you'll do with their data removes friction. I tell prospects exactly what analysis I'll run and send them a sample output so they can see the value before sharing anything sensitive. We created a one-page shipping zone analysis template that shows potential cost savings, and when prospects see that example, they immediately understand why we need their data. The key insight: people share data when they believe you're solving their problem, not when you're just trying to qualify them as a lead. Make the value of sharing data crystal clear and immediate.
The most effective way to get prospects to provide sensitive data is to change from asking to interactive diagnosis. High-value prospects are wary of static forms but motivated by self-discovery and industry benchmarking. Assessments: Go ahead with a diagnostic tool or "scorecard" which provides immediate, personalised value in exchange for smaller inputs. This method appeals to a prospect's desire for self-improvement and provides privacy before they commit to a call. 1st Step: The specific hook. Identify a nagging problem. 2nd Step: Micro Commitments, go ahead and ask for 5-8 low-friction questions. By the time you request sensitive data, the prospect prefers to see results. Real World Example: Before: Free consultation that resulted in an increase in conversion rate. After: Providing an interactive audit asking about budget, tech stack and team size. Resulted: Increase conversion rate, increase MQLs with faster adoption.
We sell complicated, multi-day trips, and good advice relies on obtaining factual information (e.g., budget, dates, flexibility, must-haves) and any relevant medical needs. Previously, our long form was an essential turn-off factor: just about 22% finished it; it took roughly 4 emails to provide a nice response, and in the end, only 31 % of quotes matched what people booked. With a new flow that prioritized value before requesting details, 61% of users completed the process, the time to first quote decreased from roughly 3 days to less than 24 hours, quote accuracy increased to 68%, and conversion rates jumped from 9% to 15% (2023-2024). What did work was pretty straightforward: First, show an example itinerary and price range quickly based only on destination and dates; then ask for more information, bit by bit. Tell people in plain language why they should care about each question, let them skip questions but still end up with a best guess, include average price ranges by season, and allow them to adjust assumptions right on the page.
Getting prospects to share the data I need to give accurate advice starts with reframing the ask around *why* the information matters to them, not to me. When I host *Ask Dr. Nandi*, I don't begin with forms or metrics—I begin by explaining that better answers require better inputs, and that transparency directly improves outcomes. Early in my practice, I noticed patients withholding details about diet, stress, or medications, which led to generic guidance and slow progress. Once I began showing them, in plain language, how missing data limited my ability to help, participation changed almost overnight. A clear example came from a gut-brain health program where completion rates for intake data were under 40%, and results were inconsistent. I simplified the questions, explained how each data point influenced their personalized plan, and shared a real case where full disclosure led to symptom improvement in weeks instead of months. Within 60 days, data completion rose to over 85%, and we saw measurable improvements in patient outcomes and satisfaction. The lesson is simple: earn trust first, show the benefit of sharing data, and prove—through real results—that their honesty leads to better advice.
Most prospects don't hold back data because they're secretive. They do it because they don't see the upside. I learned this the hard way after asking for too much upfront and slowing deals down. What worked instead was showing value first. We'd start with a quick teardown using only public or partial data and highlight clear gaps and opportunities. One SaaS client shared just high-level drop-off numbers. We redesigned onboarding and lifted activation by about 18%. After seeing that, they happily shared deeper metrics, which helped push results past 30%. The lesson is simple. Earn trust in steps. Ask for data only when it clearly improves outcomes and explain exactly how it helps.
In data recovery, prospects facing data loss emergencies are highly motivated to share damaged files for analysis—their urgent need to minimize losses overcomes typical hesitation. The key is establishing immediate trust through two elements: demonstrating you understand their crisis situation, and providing ironclad privacy guarantees upfront. At DataNumen, our privacy policy (https://www.datanumen.com/privacy/) explicitly commits to 100% data security and confidentiality before prospects share any files. This transparent commitment, combined with their pressing business need, creates natural alignment—they need immediate and accurate diagnosis, and we need their actual data to deliver it. The emergency context transforms data sharing from a trust barrier into a collaborative necessity.
When I'm advising teams on design or creative strategy, I've noticed the biggest barrier to getting the right data is not asking; it's framing. People are far more willing to share information when they understand exactly how it will impact the outcome for them. Position your request as a way to solve their specific challenge, rather than as a data-gathering exercise. Make it clear that the insights you deliver will be precise because the data they provide is accurate. Transparency matters. Outline exactly what data you need and why. Avoid ambiguity or broad requests; the more concrete and structured your ask, the easier it is for prospects to comply. Think about it like a tech interface: the fewer clicks, the better the experience. In practice, I often layer in multiple touchpoints. Start with an initial conversation to surface high-level context, then follow up with a structured form or template. It reduces cognitive load for the prospect while giving you the granular details you need. Consider incentives beyond just promises. If you can show tangible early results from partial data, it builds trust. Tech-driven teams, especially, respond to examples of measurable improvements, dashboards, or quick wins. The combination of clarity, transparency, and demonstrated value is what consistently unlocks the data you need.
When we first opened, I'd greet guests with the usual, "What brings you in today?" It felt harmless enough. Then one woman answered, "I'm here because I just finished chemo and I finally feel like a human again." It stopped me in my tracks. I realized I was asking surface-level questions when people were carrying so much more. We rewrote our pre-visit flow after that. Instead of relying on automated confirmations, we added a short, human follow-up: "Is there anything you'd like us to know so we can personalize your visit?" Nothing pushy--just an open door. The difference was immediate. People started sharing things we never would've known to ask about: old injuries, stress from caregiving, birthdays, even small quirks that mattered to them. One guest mentioned their partner was a big hops nerd, so we put together a custom beer flight to go with their soak. They left talking less about the service itself and more about how understood they felt.