[{"data":1,"prerenderedAt":120},["ShallowReactive",2],{"document:\u002Fcase-studies\u002Fresidential-real-estate\u002F":3},{"slug":4,"path":5,"family":6,"title":7,"description":8,"hero":9,"sections":17},"case-studies\u002Fresidential-real-estate","\u002Fcase-studies\u002Fresidential-real-estate\u002F","case","Residential Real Estate Brokerage","Generating more property viewing requests with Salesforce Marketing Cloudq Afzu The brokerage sent regular listing emails, but many properties fell outside the recipient’s budget or preferred area. The messages gave people little reason to click.",{"title":7,"paragraphs":10,"points":12,"actions":16},[8,11],"Mailkar Studio matched listing campaigns with buyer preferences and connected email activity with viewing enquiries.",[13,14,15],"Platform: Salesforce Marketing Cloud Engagement","Project length: Four months","Services: Listing campaigns, audience segmentation, automated follow-ups, and lead tracking",[],[18,30,42,81,97,107],{"title":19,"paragraphs":20,"points":23,"actions":24,"cards":25,"after":26,"kind":27,"id":28,"tone":29},"About the Client",[21,22],"The brokerage marketed residential properties to buyers with different budgets, locations, and property needs.","Contacts had already shared some preferences, but the email campaigns did not consistently use that information.",[],[],[],[],"text","case-studies-residential-real-estate-1","white",{"title":31,"paragraphs":32,"points":36,"actions":37,"cards":38,"after":39,"kind":27,"id":40,"tone":41},"The Problem",[33,34,35],"Broad listing emails reached people who were unlikely to consider the featured properties. This reduced the relevance of each campaign.","When enquiries did arrive, agents needed clear details about the property and the buyer’s interest.","Campaign reports also stopped at clicks. The team could not easily connect those clicks with viewing requests and attended appointments.",[],[],[],[],"case-studies-residential-real-estate-2","warm",{"title":43,"paragraphs":44,"points":46,"actions":47,"cards":48,"after":78,"kind":79,"id":80,"tone":29},"How Mailkar Studio Helped",[45],"We connected buyer preferences with listing campaigns and follow-up emails. This made the messages more relevant and gave agents better context.",[],[],[49,57,64,71],{"title":50,"paragraphs":51,"points":54,"actions":55,"to":56},"Send Listings That Match Buyer Preferences",[52,53],"We created audience segments based on location, budget, and property type.","Campaigns then featured homes that matched those preferences. We also added checks for current property details and availability before sending.",[],[],"\u002Fcontact-us\u002F#contact-consultation",{"title":58,"paragraphs":59,"points":62,"actions":63,"to":56},"Make Viewing Enquiries Easier to Follow Up",[60,61],"We used Journey Builder to acknowledge viewing requests and explain the next step.","The enquiry stayed connected with the relevant property and contact record. Agents could see what had prompted the request before following up.",[],[],{"title":65,"paragraphs":66,"points":69,"actions":70,"to":56},"Update Emails After a Viewing Was Booked",[67,68],"Booking status determined which message the contact received next. Once an appointment was arranged, further requests to book that viewing stopped.","Confirmation emails then provided the relevant appointment details.",[],[],{"title":72,"paragraphs":73,"points":76,"actions":77,"to":56},"Track Enquiries Beyond the Email Click",[74,75],"We connected campaign activity with viewing records through ESP integration support.","Reports showed email clicks, viewing requests, and completed viewings separately. This helped the team see how enquiries progressed after the campaign.",[],[],[],"cards","case-studies-residential-real-estate-3",{"title":82,"paragraphs":83,"points":85,"actions":90,"cards":91,"after":92,"kind":27,"id":96,"tone":41},"The Results",[84],"The example compares two 30-day periods. Each includes 2,400 delivered listing emails.",[86,87,88,89],"Email click rate increased from 2% to 3.5%.","Email-attributed viewing requests increased from 24 to 42.","Completed viewings increased from 18 to 30.","The comparison group recorded 12 additional completed viewings.",[],[],[93,94,95],"Viewing requests increased by 75%. Completed viewing numbers increased by about 67%.","Both periods use a seven-day post-click attribution window. Each request group receives 30 days of follow-up to record attendance.","Property sales and commission revenue are outside this example’s measurement scope.","case-studies-residential-real-estate-4",{"title":98,"paragraphs":99,"points":102,"actions":103,"cards":104,"after":105,"kind":27,"id":106,"tone":29},"What Changed for the Business",[100,101],"Buyers received listings that better matched their stated needs. Agents received enquiries with clearer property details and a consistent follow-up process.","The team could also connect campaign engagement with completed viewing activity when reviewing performance.",[],[],[],[],"case-studies-residential-real-estate-5",{"title":108,"paragraphs":109,"points":111,"actions":112,"cards":115,"after":116,"kind":117,"id":118,"tone":119},"Make Property Emails More Relevant to Buyers",[110],"Mailkar Studio helps real estate teams improve listing campaigns, audience targeting, and enquiry follow-ups.",[],[113],{"label":114,"to":56},"Discuss Your Real Estate Email Campaigns",[],[],"cta","case-studies-residential-real-estate-6","dark",1790280629851]