The full real estate marketing loop, automated. Syncore handles every step from buyer data
ingestion to live ad campaign optimization, so your team focuses on closing deals, not
building spreadsheets.
Step 1, CRM Sync: Pull buyers from HubSpot, Salesforce, and any CRM via API.
Step 2, Data Enrichment: Enrich every profile with social signals and digital history.
Step 3, AI Analysis: NLP and Knowledge Graph map each buyer to the right project.
Step 4, Smart Search: Find the right buyer for any project with plain-English queries.
Step 5, Content AI: Generate ads, captions, and creative tailored to each persona.
Step 6, Ad Optimization: Targeting suggestions plus reinforcement learning that keeps improving.
1
CRM Sync
Pull buyers from HubSpot, Salesforce, and any CRM via API.
2
Data Enrichment
Enrich every profile with social signals and digital history.
3
AI Analysis
NLP and Knowledge Graph map each buyer to the right project.
4
Smart Search
Find the right buyer for any project with plain-English queries.
5
Content AI
Generate ads, captions, and creative tailored to each persona.
6
Ad Optimization
Targeting suggestions plus reinforcement learning that keeps improving.
Features
9 core workflows, built for real estate marketing.
Each workflow solves a specific problem in the real estate marketing loop, from team
onboarding to live ad optimization. Together, they replace a full marketing ops department.
Workflow 1, Onboarding
Set up your project matrix, connect CRM APIs, and configure dashboards for Admin, Marketer, and Sales roles.
OnboardingCRM APIRBAC
Workflow 2, Data Sync & Processing
Continuously sync CRM records (ID, age, location, lead source, tags), enrich from social signals, and let AI build full buyer profiles.
Data SyncEnrichmentProfile AI
Workflow 2b, Data Enrichment
Pre-crawl social media and digital interaction history. Enrich behavioral insight before AI analysis runs.
Social CrawlPre-processing
Workflow 3, NLP Search
Search buyers in plain English. AI matches both semantics and ontology to rank the most relevant prospects.
NLPSemanticOntology
Workflow 4, Advanced Filters
Narrow results with multi-dimensional filters: demographics, behavior, transaction history, and custom scoring.
Multi-filterScoring
Workflow 5, Project Segmentation
Paste a project brief, AI extracts selling points, queries the CRM, clusters into personas, and syncs back for telesales.
Auto SegmentPersonaSync Back
Workflow 6, Content Marketing AI
Generative AI produces posts, captions, video scripts, and visuals, personalized per persona, across the full funnel.
Generative AIFunnel Content
Workflow 7, Ad Targeting
AI recommends Facebook & Google Ads configuration, audience, interests, lookalikes, and budget, straight from your CRM.
FacebookGoogleTargeting
Workflow 8, Roles & Permissions
Flexible role system: Admin manages everything, Marketers run campaigns, Sales reps see assigned buyers only.
AdminMarketerSales
Workflow 9, Self-Improving Loop
Reinforcement Learning analyzes CTR, CPC, and engagement rates. AI rewrites content and adjusts targeting automatically.
RLAuto-Optimize
Sample projects
Built for the way real estate developers actually sell.
Every project has its own mix of amenities. Syncore Data Analyzer maps each amenity to the
right buyer interest, automatically.
No SQL. No complex filter trees. Just describe the buyer you want, AI understands and
returns the exact list.
1
Semantic match
"Young buyers" → ages 25-35 · "Married" → families · "Smart" → Smart Home features
2
Ontology match
Projects with Smart Home and Riverside → Eco Riverside, The Horizon City → filter buyers who already engaged with these.
3
Rank & deliver
Combine semantic, ontology, and behavior scores → ranked list of the most relevant buyers, ready to push to Sales.
Content AI
Content marketing on autopilot, across the entire funnel.
For every persona, generative AI writes ads in parallel, from awareness to consideration to
conversion, with the right tone and the right amenities highlighted.
Segment: Young families
Tone: Warm and reassuring · Focus: Green space, schools, security
Awareness
Post 1
"Why green spaces matter for your child's development, and why young families are choosing homes close to nature."
Consideration
Post 2
"A walk-through of the international school network and family-only amenities at Eco Riverside."
Conversion
Post 3
"This month only, tour the Eco Riverside model home with your family and receive a welcome gift."
Social Listening
Capture every signal a real estate buyer leaves online.
Buyers rarely tell you exactly what they want. Instead, they leave a digital trail, liking a post about a riverside apartment,
asking about pricing on a project with a pool, sharing reviews of international schools.
Syncore Data Analyzer captures and analyzes those signals automatically, uses AI
to understand what each interaction really means, and tags every buyer profile with the
interests behind the click.
The result: a living map of buyer intent for every contact
in your CRM, so you can reach the right person, with the right project, at the right
moment.
Facebook
Likes, comments, shares
Instagram
Story views, saves, DMs
Zalo OA
Messages, broadcasts
Website
Page views, forms, UTMs
Email / SMS
Open rates, clicks
YouTube / TikTok
Watch time, comments
Five processing layers, fully automated.
From raw social signals to actionable buyer insight, no manual cleanup needed.
Auto-Tagging Interest Scoring Persona Clustering Lifecycle Staging
↓
5 Activate Actions
CRM Sync Audience Builder Content AI Ads Targeting Real-time Alerts
Keyword Intelligence
How AI extracts and classifies buyer keywords.
Every interaction carries a signal. AI analyzes the post content, extracts the keywords that
matter, and turns them into interest tags on the buyer's profile.
1
Capture context
When a buyer interacts with a post, AI reads the full content of that post to understand the context behind the interaction.
Sports & wellness interestSmart home enthusiastRiverside scenery preferenceBuy-to-let intentPremium segment
Interest Scoring
How AI scores buyer intent.
Every signal carries a different weight. Admins can fine-tune the model, so the score
reflects what actually drives a sale at your developments.
Social Engagement40%
Likes, comments, and shares on project posts. Comments carry a higher weight than likes.
Keyword Feedback25%
Comments and messages with intent keywords: "what's the price?", "any units left?"
Site Visit History20%
Showroom and model-home visits, booked appointments, the strongest signal of buying intent.
Demographics15%
Age, estimated income, location, marital status, fit with the project's target segment.
Ms. Lan, Score: 0/100
Updated 2 hours ago
Health & SportsSmart HomeRiversideInvestor
Engagement
0
Keywords
0
Site visits
0
Demographic
0
AI Suggestion: Ms. Lan is the strongest fit for The Horizon City (94% match) and Eco Riverside (78% match).
Lead with content that highlights sports amenities and smart home features.
Self-Optimizing Ads
AI keeps improving from every live campaign.
Performance metrics from your Facebook and Google Ads flow back into the system.
Reinforcement Learning analyzes them automatically and rewrites the next round.
Sharper
Audiences improve after every campaign cycle
Cheaper
AI prunes wasted spend on low-intent segments
Faster
Best-performing creative gets reused across projects
Always on
Continuous optimization, 24/7, no agency required
Insight #1: "Static images outperform video by 30% for the Investor segment" → AI prioritizes image creative for that persona.
Insight #2: "The phrase 'profit opportunity' makes Family buyers scroll past the ad" → AI rewrites the copy with a reassuring tone.
Insight #3: "Posts at 8-9pm get 2.5x the engagement of 2pm posts" → AI shifts the publishing schedule automatically.
Use Cases
What social listening unlocks for your sales team.
Buyer signals on social media open up dozens of practical use cases for real estate Marketing
and Sales, here are six of the most valuable.
Find "hidden" buyers
Spot buyers who never picked up the phone but liked 5+ posts about the same project. Push them to the top of the telesales queue.
Read the market temperature
Track trending keywords: "low interest rates" rising, push investor campaigns. "School districts" rising, focus on family segments.
Real-time hot lead alerts
A buyer engages 3 posts in a single day, instant Slack alert to Sales: "Ms. Lan just liked 3 Eco Riverside posts, call now."
Content optimization loop
See which keywords inside your content drive the most engagement, AI tunes the next post automatically.
Lookalike audiences
From your highest-scoring buyers, AI extracts shared patterns, builds sharper Lookalikes for Facebook and Google Ads.
Competitor monitoring
Track buyers engaging with competing developers. Spot a shift in interest and trigger retargeting before they leave the funnel.
Documentation
Detailed technical docs, all 9 workflows.
Click any section to read exactly how each workflow runs inside Syncore Data Analyzer, from
CRM sync to ad optimization.
1
Onboarding
Set up your project matrix, integrate the CRM API, and assign user roles.
Read more
Onboarding has four steps: (1) build the amenity catalog for projects in development, (2) connect the CRM API to map fields and sync buyer records, (3) assign user roles, Admin / Marketer / Sales, with the matching access scopes, (4) activate the AI Engine and the system is ready to run.
CRM data (ID, age, location, lead source, tags) syncs continuously through the API. Enrichment then layers in social and digital interaction history. AI builds a complete buyer profile, mapping the relationship between buyer, project, and amenity preferences.
2b
Data Enrichment (Pre-Crawl)
Pre-crawl extra signals from social media to deepen insight.
Read more
CRM records usually only contain the basics (name, email, phone). Data Enrichment adds digital behavior, Facebook likes, Instagram saves, Zalo messages, website visits, so AI can understand a buyer's real preferences.
3
Smart Search (NLP)
Plain-language queries with semantic and ontology matching.
Read more
AI processes the question in two parallel passes: (1) Semantic Match, "young buyers" → ages 25-35, "smart" → Smart Home, (2) Ontology Match, find matching projects in the Knowledge Graph. The two results merge and rank → the most relevant buyer list.
4
Advanced Filters
Narrow results with multi-dimensional filters.
Read more
After the NLP search, users can refine further by demographics, interaction behavior, transaction history, custom scoring, and lead source.
5
Project Segmentation
Paste a project brief → AI extracts selling points → returns personas.
Read more
Signature feature: (1) Marketer pastes the project description, (2) AI breaks it into clusters of selling points, (3) auto-queries the CRM for matching buyers, (4) clusters them into personas, (5) syncs back into the CRM for telesales.
6
Content Marketing AI
Generative AI writes content for each persona, full funnel.
Read more
Each persona receives content with the right tone of voice. AI generates the full three-stage funnel: Awareness, Consideration, Conversion.
7
Ad Targeting Suggestions
AI recommends Facebook & Google Ads configuration.
Read more
After content is approved, AI recommends audience targeting, interest categories, lookalike audiences, and budget allocation, all derived from your live CRM data.
8
Roles & Permissions
RBAC: Admin, Marketer, and Sales with different scopes.
Read more
Admin: full system control. Marketer: search buyers, build campaigns, manage content. Sales: see assigned buyers and their interaction history.
9
Self-Improving Loop
Reinforcement Learning from real ad KPIs.
Read more
CTR, CPC, engagement rate, and VCR data flow back into the system. AI rewrites content and adjusts the prompts for the next campaign cycle automatically.
Core technology
The AI modules running behind the scenes inside Syncore Data Analyzer.
Language
NLP AI Engine
Ontology
Knowledge Graph
Content
Generative AI
Optimization
Predictive AI
Sync
Data Sync Engine
Queries
AI Query Generator
AI FOR REAL ESTATE
Ready to launch smarter real estate campaigns?
Book a 30-minute demo and watch Syncore Data Analyzer turn your live CRM data into a
ready-to-launch ad campaign, for one of your real projects.
Capture every signal a real estate buyer leaves online.
Buyers rarely tell you exactly what they want. Instead, they leave a digital trail, liking a post about a riverside apartment, asking about pricing on a project with a pool, sharing reviews of international schools.
Syncore Data Analyzer captures and analyzes those signals automatically, uses AI to understand what each interaction really means, and tags every buyer profile with the interests behind the click.
The result: a living map of buyer intent for every contact in your CRM, so you can reach the right person, with the right project, at the right moment.
Five processing layers, fully automated.
From raw social signals to actionable buyer insight, no manual cleanup needed.
Signals
& Clean
Keyword & NLP
Profiles
Actions