GetProspect Data Accuracy: Tips to Get the Best Results

What Most Guides Get Wrong About GetProspect Data Accuracy

Most advice on data accuracy treats it like a destination you arrive at by pushing a button. You’re told to upload a list, click “enrich,” filter for the green “verified” checkmark, and assume you have a list with 97% accuracy. This is a dangerously incomplete picture.

The first flawed assumption is that a “verified” email means it’s 100% deliverable and belongs to the right person. GetProspect’s verification primarily confirms that an email inbox exists at the server level (via an SMTP handshake). It doesn’t confirm the person you’re targeting still works at that company and actively uses that inbox.

With B2B job roles turning over at a rate of nearly 30% annually, a “verified” email for someone who left two months ago is functionally useless and will still result in a bounce or, worse, a spamtrap.

This leads to the second flawed assumption: that more data points always equal better data. Teams often get excited by tools that promise to find 20+ data points per contact, from company funding to tech stacks. In reality, this shotgun approach often sacrifices the accuracy of core fields for the quantity of peripheral, often outdated, information.

A contrarian but more effective approach is to focus relentlessly on perfecting a “Minimum Viable Contact” (MVC): First Name, Last Name, current Title, current Company, and a double-verified work Email. Getting these five fields to 98%+ accuracy is far more valuable than having 15 fields at 80% accuracy. The latter creates noise and false confidence.

Let’s look at a real-world failure. A SaaS startup spent $2,000 on 50,000 GetProspect credits to enrich their entire prospect database. They trusted the “verified” tag blindly, loaded the 42,000 “verified” contacts into their outreach tool, and launched a massive campaign. The result was a 19% bounce rate, which immediately got their email domain flagged and throttled by providers like Google Workspace and Office 365.

They spent the next three months warming up a new domain, and the initial $2,000 investment cost them an estimated $30,000 in lost pipeline. The core mistake was equating a single tool’s verification with absolute truth. True data accuracy isn’t a one-time event; it’s a multi-stage process of validation and hygiene.

So if blindly trusting a single verification source is the path to failure, how does GetProspect’s system actually work? Understanding the mechanics behind that green checkmark is the first step toward using the tool intelligently, rather than just hopefully.

How GetProspect’s Data Verification *Actually* Works

Building on the critical idea that a “verified” status is more nuanced than it appears, we need to look under the hood. GetProspect doesn’t use magic; it uses a multi-layered process that produces a confidence score, which is then simplified for you into a status like “Valid,” “Invalid,” or “Accept-all.”

A helpful mental model is the “Data Confidence Stack.” It’s not a binary check; it’s an aggregation of signals. The higher up the stack a piece of data goes, the more likely it is to be accurate.

Layer 1: Public Source Aggregation. This is the foundation. GetProspect scrapes publicly available data from sources like corporate websites, news releases, and professional networks like LinkedIn. This layer is great for volume but has the lowest inherent accuracy due to data decay.

Layer 2: Pattern Matching Heuristics. The system then applies common email patterns to a person’s name and company domain (e.g., `firstname.lastname@company.com`, `f.lastname@company.com`). This is an educated guess and works well for companies with standard formats but fails often with enterprises using non-standard or legacy patterns.

Layer 3: The SMTP Handshake. This is the technical check that produces the “Valid” status. GetProspect’s servers ping the target company’s mail server to see if it will accept mail for that specific address. A positive response confirms an inbox exists, but that’s all it confirms.

Layer 4: Historical Engagement Data. This is the proprietary layer that separates good tools from basic ones. GetProspect uses aggregated, anonymized data from its user base. If other users have successfully found and engaged with an email, its internal confidence score increases. This is why its accuracy is generally reliable, but it still doesn’t beat our multi-step process.

So, what does this mean in terms of numbers? A “Verified” email from GetProspect typically has a 95-97% deliverability rate at the moment it is checked. However, with data decaying by 2-3% per month, a six-month-old “verified” contact in your database is realistically closer to an 80-85% deliverability rate. This is the gap that most teams fall into.

Understanding this confidence stack moves you from being a passive user to an active strategist. It forms the foundation for a practical workflow that accounts for these realities. Let’s build that step-by-step process right now.

Step-by-Step Guide to Maximizing GetProspect Accuracy

With the “Data Confidence Stack” framework in mind, our implementation focuses on layering validation points, not just accepting GetProspect’s initial verdict. This systematic approach turns a decent tool into a high-precision instrument, typically improving connect rates by 15-20% within the first two months.

Step 1: Define Your Minimum Viable Contact (MVC)

Before you spend a single credit, your team must agree on the essential data points for a lead to be actionable. For 90% of B2B sales teams, this is: First Name, Last Name, Verified Work Email, Current Company, and Current Title. Anything else is a bonus that shouldn’t stop you from acting on the lead.

1. Hold a 30-minute meeting with sales and marketing stakeholders.
2. Agree on the 4-6 fields that are absolutely non-negotiable.
3. Document this MVC definition and make it the standard for all lead generation activities.

This simple exercise prevents wasted time and credits chasing superfluous data. It aligns the team and ensures every enriched contact is immediately usable.

Step 2: Segment Your Input Lists by Priority

Never enrich a monolithic list of 10,000 contacts in one go. This is inefficient and makes quality control impossible. Instead, segment your lists into tiers based on how closely they match your Ideal Customer Profile (ICP).

1. Tier 1: Perfect Fit (e.g., 500 contacts). These are your dream customers. They match your ICP on company size, industry, geography, and have the target job titles.
2. Tier 2: Good Fit (e.g., 2,000 contacts). These contacts match most, but not all, of your ICP criteria.
3. Tier 3: Exploratory Fit (e.g., 5,000+ contacts). These are for broader, top-of-funnel campaigns.

Always start your enrichment and validation process with your Tier 1 list. This focuses your budget and effort where the potential ROI is highest.

Step 3: Perform Phased Enrichment in GetProspect

With your Tier 1 list of 500 contacts ready, it’s time to use the tool. This phase is about getting a first-pass result quickly and efficiently, and it should cost around 500 credits, or about $25-$49 on a standard plan.

1. Upload your Tier 1 CSV file to GetProspect using the “Enrich” feature.
2. Carefully map your spreadsheet columns to GetProspect’s fields. A mismatch here is a common and costly error.
3. Run the enrichment process, which should take 10-20 minutes for a list of this size.
4. Once complete, immediately filter the results to show only contacts with an “Email status” of “Valid.”
5. Export this filtered segment. You’ll likely have around 400-450 contacts remaining. This is your candidate list for the next crucial step.

Step 4: The Secondary Verification Layer

This is the step that separates amateurs from professionals and is the single biggest lever you can pull to protect your sender reputation. You will now verify GetProspect’s work with an independent tool. The trade-off is a small additional cost for a massive reduction in risk.

1. Sign up for a dedicated email verification service like ZeroBounce or NeverBounce.
2. Upload the CSV of 400-450 “Valid” contacts you just exported from GetProspect.
3. Run the verification. This will cost about $0.008 per email, so less than $4 for the whole list.
4. Analyze the results. You will discover that this second tool invalidates an additional 3-5% of the contacts GetProspect approved. These are bounces you just prevented.

Step 5: Finalize and Integrate Into Your CRM

You are now left with a “gold standard” list of doubly-verified contacts. This is the only data that should enter your primary sales tools. When importing this data into your CRM, such as Freshsales, careful data management is key to preserving its value.

1. Filter your list from the secondary tool to export only the contacts it marked as “Valid” or “Deliverable.”
2. Import this final, clean list into your CRM, ensuring all MVC fields map correctly.
3. For advanced teams, making this enriched data available across your tech stack is crucial. Properly managing how you [use Freshworks data in Freshsales](https://aeroleads.com/blog/use-freshworks-data-freshsales/) ensures that every team from sales to support is working from the same accurate information.

Completing this entire 5-step process for a 500-contact batch should take about 2-3 hours of focused work and an investment of under $50. The result is a list with a sub-2% bounce rate, significantly higher engagement, and a protected sender reputation.

Choosing Your Data Enrichment Strategy

The five-step process we just detailed represents a balanced, highly effective approach. However, not every team has the same goals or resources. You can adjust your strategy by optimizing for speed, cost, or ultimate accuracy.

Use this simple if-then decision heuristic to pick your starting point:

• If your main goal is maximum outreach volume for top-of-funnel campaigns and you can tolerate a 5-8% bounce rate, then use the “Single-Pass Sprinter” approach.
• If your main goal is protecting your domain reputation for high-touch sales outreach where every email counts, then use the “Multi-Layer Surgeon” approach (the 5-step guide).
• If you are running a high-stakes ABM campaign with deals over $100k and have a dedicated budget for data quality, then use the “Hybrid Craftsman” approach.

Strategy 1: Single-Pass Sprinter

This strategy prioritizes speed above all else. You treat GetProspect’s “Valid” status as the single source of truth and accept the inherent risks.

Cost: ~$49 for 1,000 contacts via GetProspect credits.
Time: Under 1 hour to enrich and export 1,000 contacts.
Expected ROI: You get a high volume of leads into your cadence quickly. However, the higher bounce rate (5-8%) will slightly depress reply rates and requires careful monitoring of your sender reputation.

Strategy 2: Multi-Layer Surgeon (Recommended)

This is the balanced approach from our step-by-step guide. It adds a small amount of time and cost to dramatically increase data reliability.

Cost: ~$49 (GetProspect) + ~$8 (Secondary Verification) per 1,000 contacts. Total: ~$57.
Time: 2-4 hours per 1,000 contacts.
Expected ROI: This is the sweet spot. The sub-2% bounce rate protects your domain, and the higher data quality typically leads to a 10-15% lift in positive reply rates compared to the Sprinter method over a 60-day period.

Strategy 3: Hybrid Craftsman

This approach is for when accuracy cannot be compromised. It combines the best of automation with a final layer of human intelligence for your most valuable prospects.

Cost: ~$57 (tools) + $20-$40 for 2 hours of a Virtual Assistant’s (VA) time to manually check the top 100 leads. Total: ~$97 per 1,000 contacts.
Time: 1-2 business days to allow for the manual verification step.
Expected ROI: A near-zero bounce rate and the highest possible confidence in your data. This method is essential for C-level outreach and enterprise ABM campaigns where a single bad email can sour a relationship.

Building on your choice of strategy, let’s break down the first practical implementation phase that is critical for all three approaches: the pre-enrichment audit.

Implementation: The Pre-Enrichment Audit

No matter which strategy you’ve chosen, feeding a messy list into an enrichment tool is a classic “garbage in, garbage out” scenario. A pre-enrichment audit is your non-negotiable first step to ensure you don’t waste time and money enriching broken data.

How to Do This

1. Export a Data Sample: Pull a list of 1,000-2,000 contacts from your current database or lead list. If you’re a Freshsales user, knowing how to correctly [export data from Freshsales](https://aeroleads.com/blog/export-data-from-freshsales-contacts-leads-deals/) is a key first skill to ensure you get a clean CSV to work with.
2. Calculate Data Completeness: In a spreadsheet, create columns for your MVC fields (First Name, Last Name, Company, Title). Use a formula like `=SUM(IF(A2:A1001<>“”,1,0))/1000` to calculate the percentage of records that have a value. Your goal is to be over 90% complete on these fields before proceeding.
3. Identify Formatting Errors: Scan the data for obvious inconsistencies. Look for company names like “IBM,” “I.B.M.,” and “International Business Machines.” Find title variations like “VP Sales” and “Vice President of Sales.” Document the top 3-5 errors you need to standardize.
4. Set a Baseline Bounce Rate: If this is an existing contact list, find the bounce rate from the last campaign you sent to them. This number is your benchmark for success. A typical uncleaned B2B list often has a 10-15% bounce rate, which is dangerously high.

Real Numbers

Cost: $0 in tool fees. This step costs 2-4 hours of analytical time, which you can value at $100-$200 in personnel cost.
Timeline: This audit should be a one-time task per major list segment, completed in a single afternoon.
ROI: An effective audit will prevent you from wasting 15-20% of your enrichment credits on contacts that are fundamentally unusable. On a 10,000-credit plan, that’s a direct savings of $40-$60, not to mention hours of manual cleanup on the back end.

Common Mistakes

The most common failure mode, seen in over 70% of teams, is skipping this audit to “save time.” This decision almost always leads to spending 3x more time and resources cleaning up the messy, enriched data later. Another mistake is trying to audit too much; focus only on standardizing your defined MVC fields.

Success Checklist

• You have a spreadsheet showing data completeness percentages for your 5 core fields.
• You have a short, actionable list of 3-5 formatting rules to apply.
• You know the exact baseline bounce rate you are trying to improve upon.

With a clean, audited, and prioritized list, you are now prepared to use GetProspect itself in a way that maximizes your chance of getting accurate data from the start.

Implementation: Configuring GetProspect for Optimal Results

Taking the clean, audited list from the previous step, your goal now is to configure GetProspect to process it with maximum efficiency. How you set up the tool has a direct impact on the quality of the data it returns. This isn’t just about uploading a file; it’s about giving the tool the best possible instructions.

How to Do This

1. Prioritize the “Enrich” Feature: While GetProspect is great for finding new leads, its highest-leverage feature is enriching an existing list of target accounts. Navigate to the “Enrich” section and upload your audited CSV.
2. Triple-Check Field Mapping: During the upload process, GetProspect will ask you to map the columns in your file to its internal data fields. This is the single most critical point of failure. Patiently ensure your “Company Name” column maps to GetProspect’s “Company” field, “Job Title” to “Title,” and so on. Any mistake here will corrupt your entire dataset.
3. Request Only Essential Data: Don’t check every box. In the enrichment settings, ask GetProspect to find only the MVC fields you defined earlier (Email, Title, Company Website, LinkedIn URL). Requesting fewer data points can sometimes improve the speed and accuracy of the core fields you actually need.
4. Execute and Filter Immediately: Run the enrichment. Once it’s finished, do not export the entire list. Use GetProspect’s internal filters to create a view of contacts where “Email Status” is “Valid.” This is your primary output. Export only this filtered segment.

Real Numbers

Cost: This step consumes your GetProspect credits. For a 1,000-contact list, it will use 1,000 credits, costing around $49 on a typical plan.
Timeline: The actual processing time for 1,000 contacts is fast, usually between 15 and 30 minutes.
ROI: By strictly filtering for “Valid” emails and excluding “Accept-all” and “Invalid,” you immediately boost your potential list quality. This action alone typically cuts 10-20% of low-quality contacts and improves deliverability from a baseline of ~85% to a tool-verified ~97%.

Common Mistakes

The most frequent error is enriching a “dirty” list without a pre-audit, as we’ve covered. A more subtle mistake is what to do with “Accept-all” (or “catch-all”) emails. Novice users often include these in their outreach lists, but these domains are configured to accept all incoming mail, making verification impossible. They have a 30-50% chance of being invalid and should be excluded from your primary campaigns.

Success Checklist

• You have successfully mapped your input CSV fields without error.
• You have exported a new CSV containing only contacts that GetProspect has marked as “Valid.”
• You have a separate, archived file of the “Accept-all” and “Invalid” contacts for later analysis or manual review.

You now possess a list that one tool believes is highly accurate. To reach an elite standard of data quality, we must now introduce a crucial post-enrichment validation layer.

Implementation: Post-Enrichment Validation and Cleanup

You’ve just exported your list of “Valid” contacts from GetProspect. It’s tempting to stop here, but the top 5% of data-driven teams apply a “trust, but verify” principle. This post-enrichment validation step is your insurance policy against the inherent limitations of any single data provider.

How to Do This

1. Select a Secondary Verification Service: Sign up for a reputable, dedicated email verification platform. Top choices include ZeroBounce, NeverBounce, or the verifier from Hunter. Avoid free, unknown tools as their quality is often poor.
2. Upload Your “Valid” List for Cross-Validation: Take the CSV file you exported from GetProspect and upload it directly into this second service. The process is straightforward and typically takes only a few minutes.
3. Analyze the Discrepancies: The second tool will run its own checks and provide its own classifications. This is where you’ll see the value. You can expect it to flag an additional 3-5% of the emails GetProspect called “Valid” as “Invalid,” “Unknown,” or even a “Spamtrap.” These are critical catches.
4. Create Your Final “Gold Standard” List: Filter the results from the second tool and export ONLY the emails that it also classifies as “Valid” or “Deliverable.” This is the final, clean list that you can trust for your outreach campaigns.
5. Integrate Clean Data and Analyze: This is the data that gets imported into your CRM. For teams aiming for operational excellence, pushing this clean data to a data warehouse is the next step. Understanding the technical side of integrations, like a [Freshsales to BigQuery data pipeline](https://aeroleads.com/blog/freshsales-bigquery-data-integration/), allows for powerful analysis of how data quality impacts sales outcomes over time.

Real Numbers

Cost: Most verification tools offer pay-as-you-go pricing around $0.008 per email. For a list of 900 “Valid” contacts from GetProspect, this final validation step will cost approximately $7.20.
Timeline: Verifying a list of ~1,000 emails is extremely fast and typically completes in under 10 minutes.
ROI: This tiny incremental investment is what moves your bounce rate from an acceptable 5-8% to a professional <2%. This directly protects your sender reputation with ESPs, which can increase your inbox placement rate by 5-10% over the course of a three-month campaign.

Common Mistakes

The main objection here is, “Why should I pay twice for verification?” The reason is that no automated system is infallible. Each provider has slightly different methods and data sources. Cross-validating between two strong systems is a standard risk mitigation technique that catches errors that inevitably slip through any single platform.

Success Checklist

• You have a final CSV of contacts that has passed verification from two independent, reputable systems.
• Your new projected bounce rate for this list is under 2%.
• You have archived the contacts that failed the second verification step for future analysis of why they failed.

Even with this robust process, real-world issues will arise. Now, let’s shift our focus to troubleshooting the most common problems you’ll encounter.

Troubleshooting Common Data Accuracy Issues

Even with a near-perfect process, you’ll encounter data issues. Knowing how to diagnose and solve them is what maintains high accuracy over time. Here are the most common problems and their solutions.

Problem: My bounce rate is still high (>5%) on my “doubly-verified” list.

Likely Cause: This happens in about 45% of such cases and is almost always due to data decay. The time between when you verified the list and when you sent the campaign was too long. The data was accurate a month ago, but people have since changed jobs.

Solution: Your data enrichment and verification process should be performed “just-in-time.” Aim to run a list through the entire 5-step process no more than 7 days before you launch the outreach campaign. For ongoing campaigns, re-verify your contact list every 60-90 days.

Problem: I get a lot of replies saying “This person no longer works here.”

Likely Cause: This highlights the fundamental limit of SMTP verification. The tools confirmed the inbox is active, but not who is reading it. Often, a former employee’s inbox is forwarded to a colleague or a general mailbox for a few months after they leave.

Solution: For your Tier 1, high-value prospects, add a final “manual verification” step. Before emailing your top 50 contacts, have an SDR or VA spend 30 seconds each checking their LinkedIn profile. This 25-minute task can eliminate this issue for your most important outreach, saving you from looking uninformed.

Problem: Enriched titles and company names are still messy and inconsistent.

Likely Cause: GetProspect pulls data from public sources, which are inherently inconsistent. It does its best to standardize, but variations will always get through.

Solution: Implement a post-enrichment, pre-import cleanup step using spreadsheet software or a dedicated tool like OpenRefine. Create a simple normalization table. For example, a rule that finds “VP of Sales,” “VP, Sales,” and “Vice President of Sales” and replaces them all with your company’s standard format, “VP of Sales.”

Problem: GetProspect can’t find emails for many of my target contacts.

Likely Cause: This is common for people in very new roles, at small companies with unusual domain names, or in industries with low digital footprints. The automated tools simply have no data to work with.

Solution: Treat a “not found” result not as a failure, but as a trigger for a different workflow. For these high-priority contacts, move them to a manual research queue. Often, a 5-minute manual search can uncover the right contact information when automated tools fail.

This systematic troubleshooting prepares you for most scenarios. But it’s also crucial to know when GetProspect isn’t the right tool for the job at all.

When GetProspect Is the Wrong Choice for Data Accuracy

Our guide has focused on maximizing the results you get from GetProspect, but no tool is a universal solution. Being an expert means knowing the boundary conditions—when to put a tool down and choose a different approach. Using GetProspect in the wrong context will lead to frustration and poor results.

Skip GetProspect if you need near-100% accuracy for a small, high-value list.

If you’re launching a strategic ABM campaign targeting the 50 top executives in your industry, the risk of a single error is too high. An automated tool’s 98% accuracy still means one of your key targets might have bad data.

Alternative: Use a human-powered research service like Upwork freelancers or a specialized B2B data provider. The cost will be much higher, perhaps $2-$10 per contact, but you’re paying for guaranteed, manually-verified accuracy.

Skip GetProspect if your target audience is outside of mainstream corporate B2B.

The tool’s database is strongest for roles and companies that have a significant digital footprint, especially on platforms like LinkedIn. It is less effective for contacts in government (e.g., local city officials), education (e.g., university professors), or niche, non-desk-based industries (e.g., construction site managers).

Alternative: Look for industry-specific databases or professional association directories. These are often more expensive but contain data you won’t find in general-purpose B2B tools.

Skip GetProspect if you have a zero-dollar budget for data tools.

While GetProspect has a limited free plan, achieving the high level of accuracy we’ve discussed requires the multi-tool “Surgeon” approach. This necessitates a small but real budget, likely in the $50-$100 per month range to start.

Alternative: Purely manual prospecting. Use LinkedIn Sales Navigator (which also has a cost) or the free version of LinkedIn to identify targets and then manually search for their contact information. This is free in terms of tool spend but extremely expensive in terms of your time.

Knowing these limitations helps you invest your resources wisely. For everyone else, let’s see how this approach stacks up against common alternatives.

GetProspect Accuracy vs. Alternatives: A Comparison Table

We’ve discussed various strategies and tools throughout this guide. This table provides a clear, opinionated comparison to help you make a final decision based on your team’s specific context. The “Best For” and “Avoid If” sections are designed to provide clear, actionable heuristics.

Approach	Cost (per 1k Contacts)	Time Investment	Expected Accuracy	Best For	Avoid If
Manual Prospecting	$150-$300 (Time Cost)	10-20 hours	99%+	Hyper-targeted ABM lists where every contact must be perfect.	You need to build a list of more than 100 people.
GetProspect (Single-Pass)	~$49	<1 hour	~92-95%	Teams prioritizing speed and volume for top-of-funnel outreach.	Your domain reputation is sensitive or you’re doing high-touch sales.
GetProspect + Verification (Recommended)	~$57	2-4 hours	98%+	The best balance of cost, speed, and accuracy for most B2B sales teams.	You have absolutely zero budget for a second tool.
Enterprise Platform (e.g., ZoomInfo)	$15,000+/year (not per contact)	Ongoing	~95%	Large teams needing an integrated, all-in-one data and intent solution.	You are a startup or small business with a limited budget.

Frequently Asked Questions (FAQ)

How long does it take for GetProspect data to become outdated?

B2B contact data decays at a rate of roughly 2-3% per month due to job changes, promotions, and acquisitions. This means a list that is 97% accurate today will be closer to 85% accurate in six months. As a rule of thumb, you should plan to re-verify or refresh any static contact list every 90 days.

What’s the realistic cost to get a “gold standard” list of 1,000 contacts?

Following our recommended “Multi-Layer Surgeon” approach, the approximate cost is:

• GetProspect Credits: ~$49 for 1,000 enrichments.
• Secondary Verification: ~$7.20 to verify the ~900 contacts GetProspect marks as “Valid.”
• Total Cost: Approximately $56.20 for a final, high-confidence list of around 850-900 contacts.

What is a good bounce rate benchmark to aim for with this process?

After following the multi-layer verification process, your hard bounce rate should consistently be under 2%. A result between 1-1.5% is excellent and indicates your process is working perfectly. If your bounce rate ever exceeds 3%, it’s a signal to pause and troubleshoot your workflow immediately.

How can I automate the secondary validation step?

You can create a semi-automated workflow using a tool like Zapier. The flow would be: 1. A new file is added to a specific Google Drive folder. 2. Zapier sends the contacts from that file to the ZeroBounce API for verification. 3. ZeroBounce returns the results, and Zapier updates a Google Sheet with the new statuses. This takes 3-5 hours to set up initially but can save many hours per month.

My existing contact data is in Freshsales. How does this process fit in?

Use Freshsales as your central hub. First, create a list view of the contacts you want to enrich and export it. Then, run that list through the entire 5-step enrichment and validation process. Finally, re-import the clean, enriched “gold standard” list back into Freshsales, using its import tool to update existing records. For complex data operations, understanding the [Freshsales API for pagination and filtering](https://aeroleads.com/blog/freshsales-api-pagination-filtering-reliable-data-pulls/) can help ensure smooth data transfers for very large lists.

What should I do if GetProspect can’t find an email for a key prospect?

A “not found” result happens for about 15-25% of contacts, even on good lists. You should treat this as a signal to switch from automation to manual research. Spend 5-10 minutes manually searching for that person on LinkedIn, the company website’s “About Us” page, or recent press releases. This manual effort for your most important prospects often yields the best results.

Is it better to find net-new leads in GetProspect or enrich an existing list?

For the highest ROI, always start by enriching an existing list of target accounts. You’ve already identified these companies as a good fit; you just need the right contact data. Finding net-new leads using GetProspect’s search filters is a great second step for scaling your top-of-funnel outreach once your primary accounts have been prospected.