Partner Results
Two deep-dives into exactly what we built, why it worked, and what it generated. Names and identifying details anonymised at partner request.
This 6-agent Frankfurt brokerage specialised in residential sales and rental management in the city's Sachsenhausen and Westend districts. They had been operating for 9 years, were well-regarded locally, and their agents were skilled closers. Despite this, growth had stalled for 18 months. When we ran their intake audit, four specific issues emerged:
Every single lead came from word-of-mouth or repeat clients. There were no paid campaigns, no SEO presence, no lead capture mechanism, and no nurture system. When the referral network went quiet — as it did for 6–8 weeks in summer — revenue dried up completely. In the 12 months prior to engagement, the team had experienced three "zero-deal" months.
Follow-up was entirely manual and agent-dependent. A prospect who enquired but wasn't ready to transact in month 1 would receive one or two follow-up calls and then drop permanently off the radar. The team estimated they had lost at least 40 warm leads over the previous 24 months simply through lack of structured follow-up. No automation, no sequences, no re-engagement.
In the absence of inbound leads, agents were forced to self-generate: cold outreach on Immoscout24, door-knocking expired listings, attending networking events. Time-tracking data showed an average of 22 hours per week per agent on prospecting activities — time that was not generating any closing conversations. Total team output: 11 deals/month average, well below market potential for a 6-person team.
The managing director had no clear picture of which agents were producing, which lead sources (however limited) were converting, or where pipeline was leaking. Decisions about team priorities, commission splits, and marketing spend were based entirely on intuition rather than data.
We ran a full analysis of Frankfurt's residential market, mapped their 9 closed deals from the prior 3 months against demographic and behavioural profiles, and defined two high-converting Ideal Client Profiles: (1) upsizing families with children aged 4–12 relocating from rented apartments to owned homes in the €550K–€850K range, and (2) professional couples aged 30–42 buying their first property, primarily in Sachsenhausen. These two segments became the creative and targeting foundation for every campaign.
We built and launched three campaign tracks simultaneously: a Google Search campaign targeting high-intent queries ("buy apartment Frankfurt Sachsenhausen", "Immobilienmakler Frankfurt Westend") with a €1,800/month ad budget; a Meta retargeting funnel with lookalike audiences built from the brokerage's existing client email list; and a LinkedIn campaign targeting corporate relocations — a segment the brokerage had never tapped, despite Frankfurt's status as a financial hub with high corporate transfer volume. All campaigns pointed to a purpose-built landing page with a direct appointment booking form, bypassing their existing website entirely.
We migrated the Google Sheet to HubSpot CRM with 6 custom pipeline stages matching the brokerage's sales process. Each stage had automated email + SMS sequences triggered on status change. We built a 14-touch nurture sequence for leads not ready to book immediately: days 1, 3, 7, 14, 21, 30, 45, 60, 75, 90, 120, 150, 180, and 365 — each message personalised to the prospect's stated property criteria. A separate re-engagement sequence was built for the 40+ warm leads from the prior 24 months that had gone cold.
We introduced a pre-qualification step between ad click and agent contact: a 5-question intake form capturing budget, timeline, property type, district preference, and current living situation. Only leads meeting minimum criteria (budget €400K+, timeline under 12 months) were routed directly to agents. Below-threshold leads entered the nurture sequence instead. This reduced agent time wasted on unqualified prospects by an estimated 70% and increased appointment-to-viewing conversion from 34% to 61%.
A live HubSpot + Google Data Studio dashboard was set up giving the managing director real-time visibility into: cost per qualified lead by channel, lead-to-appointment rate, appointment-to-viewing rate, viewing-to-offer rate, and per-agent pipeline value. Monthly strategy calls with the Aureon account manager reviewed data and adjusted campaign targeting, creative, and budget allocation accordingly.
"Before Aureon, our best months were the ones where we got lucky with a referral chain. We had no control over revenue — it just happened or it didn't. Now we have a system that produces 20+ qualified leads every week without any of us lifting a finger to generate them. The CRM alone has probably recovered 15 deals we would have lost to lack of follow-up."
"I had been telling myself for three years that luxury real estate was referral-only. That's what I believed. Aureon proved that wrong in 31 days. The quality of the inbound leads was better than 90% of the referrals I used to get — buyers who had already done their research, had clear budgets, and were ready to move. I've closed more mandates in the last 6 months than in the 18 months before that."
This broker had 11 years of experience in Hamburg's luxury residential market, specialising in properties in the €800K–€3M range across Blankenese, Harvestehude, and Eppendorf. His close rate on qualified prospects was exceptional — above 40% — but his pipeline was entirely dependent on a referral network that had served him well in his 30s and was now showing its age. Three specific problems were identified at intake:
In the prior 24 months, this broker had experienced two quarters with zero closed mandates and two quarters with 6+ closings — with no meaningful pattern or predictability. His revenue ranged from €0 to €280K per quarter, making financial planning nearly impossible. Referral velocity was declining year-on-year as his original network aged out of the primary buying window. He had made no attempt to build an inbound channel, and had a strong ideological resistance to "online marketing", believing it was incompatible with the luxury segment.
In the absence of inbound leads, he filled his pipeline through activities that consumed enormous time for minimal return: attending chamber of commerce events (3–4 per month), personally reaching out to HNWI contacts via LinkedIn (30–40 messages per week, 2–3% response rate), and maintaining a newsletter with 340 subscribers that had generated no direct mandates in 2 years. This was time that should have been spent on property valuations, negotiations, and closing — the activities where his expertise was most valuable.
The rare inbound enquiry that did arrive — through his website contact form — received the same response as a warm referral: an immediate 30–60 minute consultation call with the broker himself. Of the 11 such enquiries in the prior 12 months, only 2 had met the minimum criteria for a mandate. The remaining 9 had consumed approximately 7 hours of his time with no revenue outcome. There was no filtering, no pre-qualification, and no nurture path for prospects who were interested but not yet ready.
We identified three high-value buyer segments that are digitally reachable despite the luxury positioning: (1) C-suite executives at Hamburg-based corporates (Airbus, Beiersdorf, Unilever HQ) relocating or upgrading; (2) international buyers — specifically DACH-region Italians and Swiss nationals — seeking Hamburg properties as second homes or investment assets; and (3) recently liquid HNWIs following business exits or inheritances, identifiable through LinkedIn career activity signals. These segments demolished the broker's assumption that luxury buyers couldn't be reached through digital channels.
We launched a LinkedIn Sponsored Content campaign targeting Hamburg-based professionals with seniority C-Suite/Director and household income indicators, using content positioning the broker as the specialist for executive property transitions — not generic "buy a house" messaging. A parallel Meta campaign targeted high-income audiences aged 38–58 within Germany, Austria, and Switzerland, with creative focused on the Hamburg premium market narrative. A dedicated landing page was built with property lifestyle imagery, the broker's credentials, and a private consultation booking form — no phone number, no generic contact form, no ImmobilienScout listings link.
We built a two-stage qualification process. Stage 1: a 6-question intake form (property budget, timeline, ownership intent, current living situation, district preference, and one open-text field asking what had prevented them from moving forward so far). Stage 2: an automated email sequence that responded to completed forms with a personalised market intelligence summary specific to their stated district — a value-first touchpoint requiring zero broker time. Only prospects completing both stages and meeting the €800K+ budget threshold were routed to the broker for a consultation call. Below-threshold submissions entered a monthly nurture sequence positioning the broker as a long-term resource.
We migrated all prospect data into a lightweight CRM (Pipedrive), restructured the broker's dormant newsletter list with a re-engagement sequence that generated 4 replies and 1 mandate within the first 30 days. Going forward, the monthly newsletter was restructured around actual Hamburg market data and district-level analysis — content his target audience would read and forward — rather than generic listings. By month 3, newsletter referral traffic to the landing page was generating 20% of all qualified enquiries organically.