Nine deals under contract after switching to stacked data

The uptick did not come from new tactics. It came from data they already paid for, run through follow-up that finally fits how Shay thinks.
About
Jamie Shurig and Shay run Wildcat Realty, an Indiana wholesaling operation Jamie started two and a half years ago after 15 years in real estate. Jamie owns the back end and the listing side; Shay, a sales manager at Apple for almost eight years, runs acquisitions. They brought in DataFlik data about two years ago and moved their follow-up into DataSift four months ago.
Operating market
Indiana
Favorite features
The Challenge
Jamie Shurig spent 15 years in real estate before Wildcat Realty. She was the buying agent for a large investment operation, closing 10 to 50 deals a month with 17 employees behind her. Then the market shut off overnight. She rebuilt as a wholesaler two and a half years ago and swore off chasing a moving target.
The new operation kept hitting the same wall in the CRM. Jamie has run enough of them to know the build-out costs, and she will not name the ones that failed her. The pattern repeated anyway. Leads went in fine, then vanished after the first round of follow-up. PPC came next: months of expensive spend with nothing close to the money back, so she cut it. By February a slow winter had her pausing the predictive data spend entirely. Meanwhile the cold callers sent KPIs back by hand, because nothing lived in one system.
What They Built
Running the whole day from the Sift line
Shay skips the filter presets and lives in the Sift line. Tasks sit in the top right every morning, and she drags a lead to its next stage instead of editing fields. The day's follow-ups are the first thing she sees.
When you log in the Sift line is great because it has everything right in front of my face. Like I'm not digging for, like, wait, who's the follow-ups for today.
A custom listing lane inside the same pipeline
Both are licensed agents, and four to five wholesale leads a year pivot to listings. So they built a listing tab on the Sift line. When a seller fits a listing better than a cash offer, Shay moves the record straight to Jamie.
If we have a listing opportunity, now I can move it into her world and she's able to see it.
A VA on every lead nobody reached
Stacked niche lists pile up no-contact records fast. They added a VA inside DataSift whose whole job is working new leads that never answered. Those records stop rotting while the cold callers keep dialing fresh data.
Cleaner data from list to dialer
Before DataSift, monthly DataFlik pulls went straight to the cold callers as raw records. Now every pull lands in the system first and gets deduplicated against everything they already own. Jamie is working with the DataSift team to get both cold callers dialing inside it, so KPIs stop arriving by hand.
It wasn't just a bunch of records that we just give to a cold caller. Like now it's in our system, we don't have 10 duplicates.
Before and After

Before DataSift
- Tens of Thousands Spent on Masterminds That Never Fit
- Got Crushed Wholesaling Cleveland Virtually From New York
- Career-biggest payoff under agreement after a year of deep prospecting
- A 1,300-lead vacant property gold mine in two counties
- One shared database with his agent wife for three years
- Guru models demanded VAs and a big company he never wanted
- His investing and her listing business never connected
- Ten years flipping houses with no shared system
- One Call and One Text Found His Last Buyer
- A Deal About Every Three Weeks, Pushing for Two
- Eight Deals Working in the Middle of the Slowdown
- A $7,000 Mail Campaign Went Out at 56 Percent of Value
- Three to Five Active Listings in Every Subdivision He Underwrites
- Colorado Prices Down 9 to 11 Percent by May
- Callers Hunt Correct Numbers, Closers Take Over
- Returned Mail Tagged And Worked As Its Own Bucket
- 6 Deals In One Month From Year-Old Data
- Eight Months In Before Working The Data Right
- Bulk Dials On Call Tools Produced Nothing
- 100K Records Added, Team Spinning Its Wheels
- Mail, three call attempts, then the rehash pool
- 150 records a month, skip traced twice before dialing
- Full authority probates only, five Southern California counties
- 15 to 20 grand across seven months of last year
- Calling agents and MLS, never direct to seller
- No CRM, just a phone, a computer, and email
- $56K Largest Single Assignment
- A VA Pulls County Probate Data Daily
- $5,300 Total Expenses, About $441 A Month
- $210K In Fees From 7 Deals In A Year
- Every Conversation Started Cold
- No Pipeline, No Aged Database, No Team
- Random Calling On Whatever Records He Found
- Started September 2023 With No Probate Experience
- $95K Spread Closed In 21 Days
- All Four Questions Answered On Every Lead
- 120 Qualified Sellers In The Pipeline
- $1M+ Company With SMS As The Core Channel
- Tracking It All In Podio, Then Another CRM
- Doing What Everybody Else Was Doing
- Downloading Every Record Providers Would Give Him
- Churn And Burn Message Blasts
- One Contract For Every 10 Leads
- 100% Of Deals Sourced Inside The System
- $1M+ In Assignment Fees In 2023
- Almost All Deal Flow From Driving For Dollars
- Bouncing Between Tools Looking For One That Stuck
- Leads Tracked In Excel Sheets, Antiquated And Scattered
- First Flip Finished And Live On Market
- Partner Funding Instead Of 18-22% Hard Money
- Probate Cleared In A Week And A Half
- About One Deal Per 15 To 20 Doors
- Door Knocks The Foreclosure List Top To Bottom
- Severely In Debt, Couldn't Keep Up
- A Couple Of Years To Get In Gear
- Worked Hard For Two Weeks, Then Stopped
- 12 Years In Oil And Gas, Then Nothing Left
- $10K Deal From A Q3 Not Interested Lead
- Follow Up Brought The Seller Down $40,000
- Two First To Market Contracts In One Week
- Dedicated Caller Works The First To Market Flow
- Eviction Records Pulled Straight From Two Counties
- Outbound Marketing Completely Phased Out
- Credit Card Debt From Bad Marketing Advice
- Two Years Of Shiny Object Crash And Burn
- Absurd Data Subscription Costs Draining The Business
- $61,644 Net From A Lien List Rehash
- Tracks Wrong Numbers, Cuts Skip Trace Spend
- Emails The Township For Exact Lien Payoffs
- Rehash Filters: Mobile Numbers, No Response, Liens
- Next Day Follow Up Text Gets The Reply
- Lien Lead Silent Since February 2024
- No Follow Up Text After A Silent First Message
- Unknowingly Recycling The Same Data
- Pulling 10,000 Record Lists The Old Way
- 15 Heirs Signed, $37,500 In One Month
- Skip Trace, Upload To Sift, Call Fast
- Small Problem Lists Over Huge Data Sets
- Targets Deeds Of Trust 12 Years Or Older
- Checks County Foreclosure Postings Every Morning
- Bulk Absentee And Owner Marketing Dried Up
- 150 Mile Days Driving Project To Project
- Six Renovations Running At One Time
- Full Time Rehabbing Since 2015
- Sellers Now Calling In From Her Mail
- One Hot Lead Plus Tons Of Correct Numbers
- Mails Only The 54 Absentee Petitioners First
- Google Form Auto Formats Data For Upload
- Pulls Probate Filings Daily Across Three Counties
- Left A Company, Unsure She Could Pull It Off
- Tedious Copy And Paste List Formatting
- Struggled To Pull Data From Her County
- Years In California Trying To Figure It Out
- 135,000 Records Organized Into Buckets
- A Lead Every 10-15 Calls
- Pre-probate Inherited Niche, 60% Sell Within Two Years
- New Process Closed Its First Deal In 30 Days
- Thursday Deep Research, Offer Accepted By Monday
- PropStream Lists And Bought Probate Data
- Return Mail Dead-ended, Records Sat Dormant For Years
After DataSift
- A VA Works Every No-Contact Lead in DataSift
- Daily Follow-Ups Run From the Sift Line Tasks
- Nine Deals Under Contract After the Stacked Niche Switch
- Cold Callers Sent KPIs by Hand Outside the System
- Expensive PPC Spend With No Return
- Follow-Up Leads Vanished Into an Abyss in the Old CRM
- 60,000 Records a Quarter Feeding His Bulk Callers
- Four Contracts Signed in 10 Days
- Three Deals a Week, Two Weeks Running
- First Direct to Seller Push in 30 Years of Business
- A $10,000 Mail Campaign That Produced Nothing
- 15 Years Buying Only From the MLS and Wholesalers
- New lender agreed 12 days after the first collapsed
- $105,696 net profit after closing costs
- Nine properties contracted at $360K, sold at $450K
- Hard money lenders would not lend on rural portfolios
- Local title companies refused assignments and passthroughs
- Seller would only sell one house, priced far over appraisal
- Still Runs on a $500 Monthly Budget
- An $85K Deal Off a 50-Name Stacked List
- 13 Contracts in Six Weeks From 250 Prospects
- About $40K Spread Across Six Months, Still Behind
- Five Contracts in a Row Fell Through
- Shotgun Lists Across Too Many Zip Codes
- One Contract Per 25-35 Leads, Half the Typical Ratio
- Each Caller Brings 16-18 Leads a Week
- 50,000 Free County Records Called on a Four-Month Cycle
- Two Partners Dialing Everything Themselves From 2017 to 2019
- VA Cleaned Every County Download by Hand in Excel
- Another Blanket ListSource Pull Whenever the Pipeline Ran Dry
- Same county-data system expanding into Texas and Miami
- $800K in revenue from six or seven deep-research deals
- About 20 people across data, calling, research, and sales
- PropStream tax delinquent lists arrived after owners had already paid
- Two years hunting a golden list that did not exist
- Bandit signs at intersections, cold calling all day from a coffee shop
- Four deals closed faster than his first three
- 8,200 dials and 25 leads in one November
- Four VAs running one calling and texting protocol
- Generic YouTube advice with no sequence to follow
- Back at a sales job four months after going full time
- Spent $35,000 on marketing with zero return
- About 35 Leads Per Deal Across 347 Total Leads
- $253K In Cash And Equity From One Package Deal
- 40 Properties Wholesaled In Under Four Months
- 12-Hour Days And A 45-Minute Commute
- No Deals Found Through Realtors, MLS, Or Craigslist
- Cold Calling From A Printed Spreadsheet In The Parking Lot
- Pulls Nearly All His Data Straight From the County
- Runs Jacksonville Virtually on $1,000 a Month
- Locked a Contract Four Days After His January Restart
- Scattered Across SMS, Facebook Ads, and a Website
- Partner's $2 an Hour Caller Hit a 1% Contact Rate
- Called Lists Three Times Then Trashed Them
- 50,000 sqft warehouses in negotiation, one to two leads daily
- $59,000 spread on his first big wholesale deal
- Every eviction filed in New Jersey, worked daily
- Old CRM buried callers in highlight and right-click drama
- Phenomenal months, then crickets for months
- Overnight pharmacy shifts, 84 hours in a single week
- Knows the playbook works and is replicating it
- First off-market contract four months after starting
- $250,000 assignment fee on deal one
- Weak cash position after funding ground-up projects
- Questioned whether real estate money was even real
- Two years spending on development deals, not making much back
- $40,000 month tracking with fixed costs
- Five first to market deals since April
- Probate filings pulled daily in multiple counties
- Two mail campaigns, response rates he did not like
- Costs fluctuated month to month with list spend
- Custom Podio build, broad absentee and vacant lists
- Owner buried beside her son after two years unclaimed
- Runs every heir search solo now
- Five heirs found, contacted, and signed across Texas
- Needed a specialist for her first deep heir search
- Paper records only, fathers listed by initials
- Probate leads dead-ended with no findable heirs
- Every No Recycled On A Two-Year Rehash Cycle
- Three VAs Clean Data Before A Single Dial
- Three First To Market Niche Filters Worked Daily
- Loose Onboarding And Under-Corrected Bad Hires
- Team Swung From Large To Small To Solo
- Broad Marketing Across Every Niche At Once
- Mornings and evenings back with his family
- 8 person crew handles whole projects in sets of two
- 40+ properties across three portfolios in about six months
- Afraid to take on payroll and a crew
- The bottleneck on his own projects
- Software job eight to five, real estate five to midnight
- 55% Answer Rate On One-By-One Click To Call
- Free County Data Replaced Every Paid List
- $45K Fee Closed One Week After The Callback
- Podio, Slack, And Multiple VAs, No Traction
- 30,000-Record Lists Dialed Two Or Three Times Through
- At Least $40K Wasted On Lists And VAs
- Four Marketing Attempts on a Couple of Lists
- A Three-Person Team at About $1,800 Cost Per Contract
- Almost Two Years Nomadic Across Asia, Europe, and the Middle East
- Behind a Jacksonville Desk 95 Percent of the Time
What changed
The click came from a training video. Jamie watches everything the DataSift team sends out and queues the relevant ones for Shay. In one of Tyler's videos, he explained the point of the Sift line: stop filing hot leads under no contact just because nobody answered. "If in your brain it's a hot lead, move it to hot lead. You don't have to put it in no contact new lead." Shay called it a game changer. Her old CRMs forced her through their process. This one bends to how she already thinks.
The Results
The sequence matters. February: a slow winter forced a pause on predictive data spend. May: they re-upped with stacked niche data, after moving follow-up into DataSift. Two months after the restart: nine deals under contract, with several already closed. Jamie's read on the driver: "It had a lot to do with adding REI Sift and then just squeezing every piece out of the data we could."
One honest zero: an early direct mail test to about 80 houses with no phone numbers returned nothing. It went out once, with no sequence behind it. Direct mail with a real cadence is the next line item. The before and after is simple. Follow-ups used to disappear after the first touch. Now the day's list sits on the Sift line with a VA working everything nobody reached.
The fact that I can take something and drag it to where it needs to go instead of going and changing all these things.
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Answers to some
commonly asked questions
Does DataSift work with my dialer?
Yes. Ready Mode, Smart Dialer, Call Tools, Smarter Contact, Aircall and Kixie connect directly. A wrong-number disposition in the dialer flips the phone status in DataSift in real time. A new-lead disposition fires the full Call New Lead sequence. Other dialers connect through CSV upload or Zapier.
I'm coming from Podio, REsimpli, or Go High Level. Why switch?
Every CRM needs someone to move leads where they belong. The difference is what catches the misses. Most CRMs hand you an empty box and tell you to build it. DataSift ships with the workflow assembled — boards, statuses, tasks, and 26+ automations already wired. You're not paying for a database. You're paying for the system that already runs your lead management.
I have too many leads. Don't I need drip campaigns for my warm and hot leads?
Drip campaigns are for ghosting leads and not-interested follow-up. Never for warm or hot. Warm and hot get a human call, every time, on a tempo set by when the seller will sign.
Won't I need to hire an acquisitions person to keep up?
Most operators give away 20% of their revenue solving an operational problem with a hire. A trained lead manager working the default build prevents that hire for a long time. Bring in an acquisitions specialist when your lead manager is buried in qualified follow-up that's converting — not before.
Will my team actually use this?
Your lead manager works six filters every day:
- Call New Leads
- Unqualified Overdue
- Unqualified Due Today
- Qualified Overdue
- Qualified Due Today
- Leads Missing Task
When all six are empty at end of day, the day is done. No guessing. No drowning. No leads sitting where they shouldn't.
What happens to leads we never reach?
"For every hundred ghostings, I could probably pull another two deals at minimum a year out of them. That could be worth a hundred grand to my company every year."
You don't lose leads. You stop spending your lead manager's day on the ones who aren't talking back.
How long does setup take?
Your account ships with the lead management default build already wired. Boards, statuses, tasks, automations — ready on day one. Add your team, import your data, and your lead manager can start working leads the same afternoon.
Can I customize it?
Yes, but don't. Not at first. Run the default for 60 days. Prove your team has the discipline. Then extend. Most operators who break their CRM do it in the first 30 days by trying to make it "smarter."
I'm running bulk SMS through another tool. Do I still need this?
Yes — and the two work better together. Your dialer or SMS tool handles the conversation. DataSift handles the data that survives the conversation. If your dialer ever gets flagged or shut down, every wrong number, correct number, and Not Interested response stays safe in DataSift.
Do I have to run Sequential Marketing?
No. DataSift works with any marketing approach. Sequential is the framework we teach because it's the one our top operators run, but you can use the platform for bulk-only, niche-only, drip-only, or any mix you already have working.
I want to do bulk marketing. I don't want to niche-prospect.
Run bulk. If you want the framework, Bulk Sequential is the one we teach — same flow as Niche Sequential, just at volume through power-dial integrations and bulk mail. If you already have a bulk approach that works, DataSift tracks the dispositions, the wrong numbers, the responses, and the rehash pool either way.
I'm a one-person operation. Is this overkill?
No. Niche Sequential runs at 150 to 200 new records a month. Small budget, small team, real results. Scale into Bulk when you're ready.
Will my team actually use this?
The marketing operator works a short set of filters every day: a needs-skip view, a ready-to-call view, the active touch cycles, a needs-mail view, deep prospecting, and rehash. Same loop every day. Nothing complicated.
What happens to records nobody ever reaches?
They don't disappear. After the call cycle is exhausted, records move to Deep Prospecting or back into a rehash cadence. The "every number wrong or dead" pool stays accessible for mail and door-knock campaigns. You don't lose records. You stop spending budget on the ones who aren't picking up.
Won't this take weeks to set up?
The default account ships with the four core Filter Preset folders, SiftLine boards, statuses, sequences, and task presets already wired. The Niche Sequential and Bulk Sequential workflows are recommended structures that go on top — typically added the same day you pull your first list.
How does a record get to me as an AQS?
The Lead Manager qualifies the lead, gathers motivation, and moves the card to "Send to Acquisitions" in the SiftLine board. The moment that card moves, a sequence fires: the Make Offer task is created, assigned to the AQS, and the card appears on the Acquisitions Board. The AQS doesn't set anything up. They open their Make Offer filter in the morning and it's already there.
For teams with multiple AQS people, tasks can be round-robin assigned so work distributes automatically across the team.
How many Acquisitions people do I need?
Fewer than you think. One dialed-in AQS inside DataSift can handle five or more offers a day. Before you hire a second AQS, hire a Lead Manager first — and make sure your first AQS is hitting their daily offer quota. The default build handles the prioritization, the follow-ups, and the handoffs. The person handles the conversation.
What if my AQS doesn't follow the system?
The Activity Log keeps everyone honest. Every offer, every follow-up, every call is stamped to the record. The Offer Follow-Up Overdue filter and No Tasks filter catch anything that fell through. The Lead Manager owns every lead — even while it's in AQS hands — and has every right to hold the AQS accountable for overdue tasks.
What's the offer follow-up cadence?
Make the offer on Day 0. Follow up Day 1, Day 2, Day 3, then Day 5. Call or text each time. If the seller needs more time, apply the task and change the due date — don't skip it. If there's no decision after one week, the contract expires and you restart the offer. Keep mailing the record until a contract is actually signed.
What does "Seller Considering" mean?
It's the offer status between "made" and "accepted or rejected." When a seller says they need time to think, update the offer to Considering and let the follow-up sequence run. It keeps the record visible in your Offer Follow-Up filter, tracks the offer against your KPIs, and makes sure no open offer sits without a next action.
How do we learn from rejected offers?
Tag rejected offers with "Review Rejected." At the end of every week, filter by that tag and do a call review with a team member. Once reviewed, swap the tag to "Reviewed Rejected." Over time you'll see patterns — objections you can handle differently, deal structures you're not using. Closing more deals starts with understanding why you're losing them.
Should I automate the offer follow-up tasks right away?
Not yet. Run the manual process first. Get consistent. The goal is to show up every day and do the work until it becomes second nature — then add the automation as a reward for the consistency, not a shortcut around it. One sequence worth adding early: auto-attach a Make Offer task when a card moves to the Make Offer phase. Everything else, do manually until you've built the habit.
What about the deals I lose — are they gone?
No. Rejected the offers recycle to Lead Management for nurture. No-decision records stay in the system with follow-up tasks.
Won't this take weeks to set up?
No. Your account ships with the Acquisitions Board, Task Presets, Sequences, and all eight Filter Presets already wired. Add your team, pull your first list from Lead Management, and you're making offers the same afternoon.
How does a deal get to dispositions?
The moment a contract is signed in Acquisitions, the record updates to Under Contract. That status change fires a sequence: the card moves to the Transactions Board, a Process Contract task is created and assigned to the Dispositions Coordinator, and the record is ready to route. The coordinator opens their task queue and it's already there.
What's the difference between the Transactions Board and the exit boards?
The Transactions Board is the hub — every contract lands there first. The coordinator reviews the deal, sets the exit type, and the card routes automatically. Wholesale, Flips, and Rentals each have their own phase columns and task presets built for that exit. The Transactions Board holds the Closed and Fell Through statuses — when a deal finishes, the card auto-removes from the active view.
What's the difference between the Wholesale, Flips, and Rentals boards?
Each board has its own phases and task presets. Wholesale moves through buyer activation, offer selection, and assignment. Flips move through scoping, rehab, and listing. Rentals move through scoping, tenant placement, and occupancy. Set the exit type and the card routes automatically.
How do I manage my buyers list?
Your buyers list is a pre-built list inside DataSift. Add buyers as records, tag them by buy box — market, price range, property type, cash or financed. When a wholesale deal is ready, filter by criteria, select the right buyers, and reach out directly from the record. Every conversation and offer logs on the deal.
How do I track profit across different exit types?
Every closed deal logs purchase price, total expenses, exit price or assignment fee, and net profit. Filter by exit type, month, or source list — no spreadsheet, no exporting. The data is on the record.
Can I run wholesale and flipping at the same time?
Yes. Both boards run independently inside the same account. Each has its own statuses, tasks, and sequences. One account, two pipelines, clean separation between them.
What happens to deals that fall through?
They update to Fell Through on the Transactions Board — the card auto-removes from the active view, a review task fires, and the record stays active. The seller is still in your account. Any future contact connects back to the original record. You never lose a deal. You sometimes lose the timing.
How do I know nothing is falling through the cracks?
Use the STAB-THEM check on every record: Status, Tasks, Assignee, Board, Messages. Run the Deals Missing Task filter daily — it surfaces every active deal without a next step. Every deal always has a status. Every status always has a next task.
How do I reverse engineer a closed deal?
Filter closed deals by source list, exit type, or marketing channel. Open any record and the full history is there — first marketing touch to closed exit. Days-to-close, profit, deal source, every step in between. That's your playbook for where to spend your next marketing dollar.
Won't this take weeks to set up?
No. Your account ships with all six SiftLine boards, task presets, sequences, and filter presets already wired. Learn the manual flow first — run deals step by step before leaning on automations. Once you understand each phase, the automations become something you earn. Most operators are running a live dispositions pipeline the same week they get in.
Is there a free trial?
Yes DataSift offers a 7 day free trial. In those 7 days you’ll receive all necessary materials to learn exactly how to leverage Sift in your company.
What does DataSift do?
DataSift helps real estate companies locate the best markets, execute targeted marketing, and identify the right sellers, buyers and buy boxes. Sift gives your team one place to manage leads, follow-ups, tasks, appointments, and KPIs to keep your operation tight.
How much does DataSift cost?
Our lowest plan starts at $149 a month and our highest plan is $1250 a month.
Will I have access to the support team?
Yes, all users have access to our support team through our support chat. We offer live calls, community calls, help center tutorials and a large investor community for widespread support.
Will new data automatically add to my Sift account?
Yes. Expert plan, AI plan and users with the SiftMap Pro add-on can opt to have records auto-added to their account based on their preferred criteria.
How do I migrate over my data from another CRM?
Contact our support team through our support chat and they will give you all necessary materials and information to make sure you get all of your data uploaded exactly how you want it.
How does the unlimited skiptracing work?
DataSift provides pay per skip pricing as well as a fixed $97 a month unlimited skiptracing add on. Unlimited skiptracing comes with the Expert and AI Plans automatically
What lists can I pull inside DataSift?
Free Lists
- Free and Clear
- High Equtiy
- Low Equity
- Negative Equity
- Owner Occupied
- Absentee
- Pre-Foreclosure
- Foreclosure
SiftMap Pro Lists
- Pre-Foreclosures - Notice of Default
- Pre-Foreclosures - Lis Pendens
- Pre-Foreclosures - Notice of Foreclosure
- Pre-Foreclosures - Final Judgement
- Pre-Foreclosures - Court Order
- State Tax Lien
- Federal Lien
- Liens (Mechanic's, Utility)
- Judgment Liens
- HOA Liens
- Bad Credit
- Estate Sales
- Probate Properties
- Criminal Felony
- Senior Homeowners
- Divorce Properties
- Eviction
- Vacant Properties
- Pre-Probate
- Low Income
- Bankruptcy Properties
- Inheritance Properties
- Tax Delinquent Properties
- Short Term Loan
What is DataSifts default account?
When you create a new DataSift account (or enable the default build if you're an existing user), you'll have:
- Pre-built SiftLine Boards
- Default Lists, Tags, and Phone Tags for easy organization
- Pre-set Property Statuses and Contact Statuses
- Task Presets for Lead Management, Acquisitions, and Transactions.
- Saved Filter Presets to quickly filter for tasks.
- Ready-to-go Sequences (Automations) for smooth daily workflows
How does DataSift work for Commercial Real Estate & Land?
Yes! You can manage any prospect with an address in DataSift. No street address for vacant land? No worries. Upload using the APN/Parcel ID as street address. Then it’s a matter of skiptracing and running a marketing campaign in Sift.