LeadsPlease Reviews & Product Details

I used LeadsPlease for building mainly targeted contact lists for outreach campaigns in the chiropractic industry. It helped me find leads quickly without spending hours on manual efforts, especially connecting me with leads in Portland, Oregon, which was my target audience, and landed me with 20+ clients within weeks. I really like their enriched leads storage and inventory, as they have multiple mailing lists in multiple industries. It was a great alternative to manually scraping leads from Google, saving me hours. Review collected by and hosted on G2.com.

Leads are mostly valid and useful but not at all times; sometimes there are some leads which are missing some updates, so that's an issue. If it could be fixed, and there should also be a free account or tier where they should give out some leads for free as a trial, so people can test them. Yeah, it just takes some time to go and manually find the missing updates on some leads that consumes some time, but still, it saved me hours. Review collected by and hosted on G2.com.

Filtering by birth month, zip code, homeownership, and household income lets me reach the right seniors before their enrollment window opens rather than after. The 95% deliverability guarantee backed by monthly NCOA processing keeps returned mail rates low and protects my print and postage budget. Pay-per-list pricing works well for an independent agent not wanting to carry a monthly platform fee between campaigns. Review collected by and hosted on G2.com.

The standard purchase is one time use only, so follow-up drops to the same audience require a separate conversation with support. The search interface also resets between sessions, forcing a full rebuild of filters each time. A saved-search option would save meaningful time for agents running multiple territory campaigns regularly. Review collected by and hosted on G2.com.

Data quality is the first thing I evaluate in any list provider. LeadsPlease holds up well. Consumer lists carry a 95% deliverability guarantee backed by monthly NCOA processing, USPS DSF verification, and DNC suppression applied at each update cycle. The CSV output is consistently structured and loads into our marketing automation platform without field mapping issues. The pay per list model also keeps things administratively clean with no recurring invoices or seat licenses to manage. Review collected by and hosted on G2.com.

The biggest operational gap is the absence of a suppression list upload during the list building process. There is no way to exclude contacts already in our CRM before purchase, so deduplication has to happen manually after download before the list can be imported cleanly. There is also no API access for automated list pulling, and search configurations reset between sessions, meaning any repeat or adjusted campaign targeting has to be rebuilt from scratch every time. Review collected by and hosted on G2.com.

LeadsPlease fits well into a demand generation mix where direct mail runs alongside digital channels. SIC code filtering combined with firmographic criteria like company size, employee count, and geographic targeting makes it easy to build industry specific lists that align with our ICP. No subscription model keeps budget allocation clean, and CSV downloads load into existing tools without any reformatting. Data accuracy has been consistent enough to maintain solid deliverability across campaigns. Review collected by and hosted on G2.com.

The platform lacks workflow features that demand generation teams depend on. There is no native CRM integration, no suppression list upload during the build process, and search configurations reset between sessions. Running multiple campaigns across different verticals means rebuilding each search manually every time, which adds unnecessary coordination overhead. The one time use licensing also requires a separate support conversation for any second wave mailing to the same audience. Review collected by and hosted on G2.com.

LeadsPlease has made prospect list building practical for an independent financial advisory practice. Filtering by household income, homeownership status, and age range within a specific zip code lets me target pre-retirees and high income households without going through a third party broker. Lists download immediately in CSV format, and the pay per list model fits well when campaign budgets vary throughout the year. Review collected by and hosted on G2.com.

The filter interface resets between searches, which adds friction when comparing different demographic combinations before committing to a purchase. Adjusting a single filter requires rebuilding the search from scratch rather than modifying what already exists. A saved search or editable count feature would save meaningful time for anyone iterating on targeting criteria. Review collected by and hosted on G2.com.

LeadsPlease simplified how we source contact lists for direct mail campaigns. The demographic and geographic filtering lets us build targeted lists quickly without a dedicated data team, and the CSV exports integrate cleanly into our existing tools. Data accuracy has been consistent across campaigns, keeping return rates within acceptable limits. Support is responsive and helpful when we need guidance on list selection or volume estimates. Review collected by and hosted on G2.com.

The filter interface resets between searches, which slows things down when comparing multiple targeting scenarios in one session. Switching between zip code and carrier route targeting or adjusting demographic filters requires rebuilding the search from scratch. A saved search or persistent filter option would make a real difference for anyone planning segmented campaigns. Review collected by and hosted on G2.com.

We’ve had a great experience using LeadsPlease. What stands out the most is how quickly their team responds—they are always timely and helpful when we need support.

The platform has also allowed us to better target our audience by specific geographic locations and demographics, which has made our outreach much more effective. In the past, we relied heavily on outside vendors, but now with LeadsPlease, we’re able to implement multiple marketing strategies and create consistent touchpoints with our audience.

Overall, it has given us more control, flexibility, and improved results in our marketing efforts. Review collected by and hosted on G2.com.

One area for improvement would be the search and filtering experience. It can be a bit difficult to explore different targeting options without having to restart the process each time. For example, if a 3-mile radius returns too many leads and I want to reduce it, or if I want to compare results between a radius and a mailing route, I have to start over each time.

While it doesn’t take a significant amount of time, making this part of the platform more flexible and user-friendly would really enhance the overall experience. Review collected by and hosted on G2.com.

LeadsPlease makes it easy to build highly targeted senior audiences without relying on brokers. Filters like turning 65, location, and household attributes help align campaigns with the right timing. The data quality is consistent, and the pricing model is flexible, which helps manage campaign budgets without long term commitments. Review collected by and hosted on G2.com.

The platform lacks saved audience functionality, so targeting has to be rebuilt for repeat campaigns. It also doesn’t integrate deeply with other marketing tools, which adds some manual effort when executing across channels. Review collected by and hosted on G2.com.

I find the targeting options quite practical for health insurance campaigns. Being able to filter by age range, income level, and location helps me focus on the right audience, especially for under 65 coverage. It saves time and reduces wasted outreach compared to generic lists. Review collected by and hosted on G2.com.

The platform lacks intent based signals, so it’s not always clear if a prospect is actively looking for insurance. Also, some filters need to be reapplied when building multiple lists. Review collected by and hosted on G2.com.

It helps in planning location-based promotions more efficiently. I can pull customer lists around specific store areas or regions, which is useful for seasonal campaigns and store openings. The quick access to data and simple list building process makes it easy to act fast when campaigns need to go live. Review collected by and hosted on G2.com.

The data is more general, so it doesn’t always reflect shopping behavior or purchase intent, which would be helpful for retail targeting. Review collected by and hosted on G2.com.