Remote Real Estate Lead Analytics

This dataset provides comprehensive analytics for remote real estate sales teams, tracking lead sources, engagement, conversion rates, agent performance, and collaboration notes. It enables startups and managers to benchmark team effectiveness, identify best practices, and optimize distributed sales strategies for improved outcomes.

  • last updated 24 Oct 2025
  • by GoMask
The brief that made it

Benchmarking remote agent performance and lead conversion rates

Sample rows

preview · 8 of 120 rows · all 23 columns
lead_idstringlead_statusstringengagement_scorefloatproperty_typestringlead_sourcestringlead_created_datedateassigned_agent_idstringagent_namestringagent_emailstringagent_location_citystringagent_location_statestringagent_location_countrystringproperty_idstringproperty_citystringproperty_statestringproperty_countrystringlast_contact_datedatefollow_up_countintegerconversion_datedateconversion_amountfloatbenchmark_groupstringlead_lost_reasonstringcollaboration_notesstring
A1B2C3D4qualified83.2apartmentwebsite2024-04-12AGT001Rachel Kimrachel.kim@homesales.comLos AngelesCAUSAPROP1001Los AngelesCAUSA2024-05-013blankblankWest Coast TeamblankAgent coordinated virtual tour with team and shared best practices for online engagement.
X9Y8Z7W6engaged91.5housesocial_media2024-03-28AGT002Sanjay Patelsanjay.patel@indiarealtors.comMumbaiMHIndiaPROP1002MumbaiMHIndia2024-04-256blankblankIndia UrbanblankAgent shared market trends and team discussed negotiation strategies in team chat.
MNBV1234new51.7blankreferral2024-05-02AGT003Olga Ivanovaolga.ivanova@rusinvest.comMoscowMoscowRussiablankblankblankblankblank0blankblankRussian InvestorsblankLead assigned during team weekly sync, agent to initiate contact.
GHJK5678converted98.3commercialemail_campaign2024-03-15AGT004Li Weili.wei@chinarealty.cnShanghaiShanghaiChinaPROP1003ShanghaiShanghaiChina2024-03-2292024-04-1067000000China SegmentblankAgent led strategy sessions; closed deal after team consultation on pricing.
QWER7890engaged87.6apartmentwebsite2024-04-07AGT005John Smithjohn.smith@usrealestate.comNew YorkNYUSAPROP1004New YorkNYUSA2024-04-294blankblankEast Coast TeamblankAgent used team CRM features to automate follow-ups; discussed tactics on call.
ZXCV4567lost3.4otherreferral2024-02-26AGT006Pierre Duboispierre.dubois@francerealty.frParisÎle-de-FranceFrancePROP1005LilleHauts-de-FranceFrance2024-03-021blankblankEurope LandClient found cheaper alternativeTeam discussed reasons for lead loss and possible improvements.
POIU0987qualified77.9apartmentemail_campaign2024-04-18AGT007Fatima Al-Farsifatima.alfarsi@uaerealty.aeDubaiDubaiUAEPROP1006DubaiDubaiUAE2024-05-032blankblankMiddle East LuxuryblankAgent shared client feedback with team, improved approach.
LKJH5432qualified81.6housewebsite2024-04-01AGT002Sanjay Patelsanjay.patel@indiarealtors.comMumbaiMHIndiaPROP1007MumbaiMHIndia2024-04-173blankblankIndia UrbanblankTeam discussed listing strategies for high-value houses.

What the 120 rows show

from the 120-row sample

Lost (lead status) stands out: mean engagement_score is 4.8, against 79.3 for the rest.

  • 80.5median engagement_score
  • 5lead sources
  • 11agent location countries
  • 11property countries
  • 19agent location cities
  • 22agent location states
Mean engagement_score by lead_status120 rows
05010050.4new18 rows64.1conta…4 rows87.1engag…32 rows79.7quali…34 rows96.8conve…18 rows4.8lost14 rows
engagement_score120 rows, in bands of 10
02040140008104223032050100engagement_score →

Median 80.5, from 1.3 to 100.0.

property_type102 rows with a value · 18 left blank
  1. apartment42
  2. commercial33
  3. house12
  4. land8
  5. other7
23 columns by typefrom the column list below
  • string 17
  • integer 1
  • float 2
  • date 3

Columns

23 columns in three groups
blueprint · 23 columns
columntypedescriptionexample
Text 17 columns
lead_idstringUnique identifier for each real estate leaduniqueA1B2C3D4
lead_sourcestringOrigin of the lead (e.g., website, referral, social media)website · referral · social_media · email_campaign · otherwebsite
lead_statusstringCurrent status of the lead in the sales funnel6 valuesqualified
assigned_agent_idstringUnique identifier for the remote sales agent assigned to the leadAGT001
agent_namestringFull name of the assigned remote sales agentRachel Kim
agent_emailstringEmail address of the assigned agentrachel.kim@homesales.com
agent_location_citystringCity where the remote agent is basedoptionalLos Angeles
agent_location_statestringState or region where the remote agent is basedoptionalCA
agent_location_countrystringCountry where the remote agent is based11 countries · optionalUSA
property_idstringUnique identifier for the property associated with the leadoptionalPROP1001
property_typestringType of property (e.g., apartment, house, commercial)apartment · house · commercial · land · other · optionalapartment
property_citystringCity where the property is locatedoptionalLos Angeles
property_statestringState or region where the property is locatedoptionalCA
property_countrystringCountry where the property is located11 countries · optionalUSA
collaboration_notesstringNotes on team collaboration or best practices for this leadoptionalAgent coordinated virtual…
benchmark_groupstringBenchmark group or cohort for performance comparison (e.g., team, region)optionalWest Coast Team
lead_lost_reasonstringReason for lost lead (if status is 'lost')optionalNo response from client
Numbers 3 columns
engagement_scorefloatQuantitative score representing lead engagement level (0-100)0 to 100 · optional83.2
follow_up_countintegerNumber of follow-up actions taken with the lead0 or more · optional3
conversion_amountfloatFinal sale amount if the lead was converted0 or more · optional67000000
Dates and times 3 columns
lead_created_datedateDate the lead was created in the system2024-04-12
last_contact_datedateDate of the most recent contact with the leadoptional2024-05-01
conversion_datedateDate the lead was converted to a sale (if applicable)optional2024-04-10

Use it for

  • median engagem…80.5120 rowsmean engagement score…50.4new64.1cont…87.1enga…79.7qual…

    A real estate dashboard

    Engagement_score by lead_status and a breakdown of property_type. Excel, Power BI or Tableau.

  • Why do the 14 lost rows have a mean engagement_score of 4.8?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable leads with lead_source, lead_status and lead_created_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 23 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset120 rows23 columns
Yours1,000 rows23 columnsagent_location_city: UK only

blueprint · remote-real-estate-lead-analytics

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 23 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each row represents an individual sales lead assigned to a remote agent.
  • Include timestamps for initial contact, last follow-up, and conversion outcome.
  • Capture communication channels used (email, call, video meeting).
  • Flag leads as successfully converted, lost, or pending.
  • Record agent location (state/region only) and experience level.
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-real-estate-lead-analytics

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