From MQL counts to move-in attribution: 12 years embedded at Lenbrook.

The challenge

Lenbrook is a four-star life plan community in Buckhead, Atlanta. Newsweek ranks it #1 in Georgia and #21 in the United States. The product is genuinely excellent, the brand is well-earned, and the buying decision is still one of the hardest in marketing. The average sales cycle runs 22 months. The entrance fee runs from the mid-six figures into seven. And the most common competitor isn’t another community, it’s the prospect simply choosing to stay where they are.

In 2013, when the partnership began, senior living digital marketing as a category was form-fill-count thinking. Agencies pitched leads. Communities measured marketing on monthly MQL counts. Nobody connected a Google Ads click to a community move-in 18 months later because the data plumbing didn’t exist to do it. Form fills were the metric of record, which made marketing accountable for the cheap noisy proxy and let the expensive real outcome go unmeasured.

That left Lenbrook with the same recurring problem every life plan community faces. How do you tell whether marketing is actually working when your sales cycle outruns most agency contracts? How do you compare paid search to direct mail to organic search to referrals when the move-in happens in a different quarter than the campaign? How do you justify FY27 budget on FY24 spend? Those questions don’t get answered by a campaign. They get answered by infrastructure.

The approach

2013 to 2017: build the infrastructure

Web, paid search, SEO, content production, call tracking, the operational backbone. Standard agency work, but built to be measurable from day one. UTM discipline on every campaign, GA event tracking, CallRail across phone, and form data passing into ALINE. The foundation that everything later required.

2018 to 2021: build MQL scoring

Once the data was flowing cleanly, the next problem was qualification. Not every form fill was a tour, not every tour was a deposit. We worked with Lenbrook’s sales leadership to score MQLs on intent signals (page views, dwell time, content downloads, follow-up engagement) and only passed the qualified ones to the residency counselors. Marketing volume went down on paper. Sales productivity went up. The Kingsboro at Lenbrook expansion shipped inside this window: a dedicated digital build for a brand-new 53-unit building that didn’t physically exist yet, over a million paid impressions, 60 to 70 percent email open rates on segmented Kingsboro lists, and full occupancy at launch.

2022 to 2024: build attribution

This was the architectural shift. We built the ALINE Gravity Forms Connector (launched 2021, monthly updates, five-star user rating, also used by other senior living agencies). It pushes structured lead data into ALINE so every contact carries its source. We layered multi-touch attribution on top, tracing every move-in back through the touches that produced it. For the first time, Lenbrook could answer “which channel produced this move-in” with a real number, not a guess. The 22-month average sales cycle isn’t a benchmark we pulled from a research report. It’s a number that exists because we built the instrumentation to measure it.

Channel discipline, including the ones we paused

In FY23 we ran two flights of paid social. Flight 1 spent $3,000 across October to December 2022 and produced 12 conversions on roughly 76,000 impressions. Flight 2 spent $3,463 across February to April 2023 and produced 30 leads, 23 of them new. The numbers were defensible. The attribution back to move-ins wasn’t, and we’d built the system that let us see that clearly. We paused social and reallocated the remaining $8K to SEM, where the dollar produced a measurable downstream outcome. The agency that measures move-ins is also the agency that pauses channels that don’t produce them.

2024 to 2026: build the operating system

The email program now runs at a 38.1 percent open rate and 6.8 percent CTR sustained over a three-year drip. The thank-you email runs 76 percent open / 40.1 percent CTR. The unsubscribe rate sits at 1.7 percent. Reputation work maintains 4.6 stars across 169 Google reviews. Ellie, the AI voice receptionist we designed and built on ElevenLabs, handles after-hours inquiries with full source attribution back into the CRM. SOC 2 Type 1 sits underneath the data layer. The agency function is now a measurable operating system, not a series of campaigns.

The results

The 22-month sales cycle is now measured end-to-end. That isn’t a metric Lenbrook had before the partnership. It’s a metric that exists because the partnership built the plumbing to measure it. Most agencies can claim leads generated. Few can tell a community what its actual sales cycle is across the marketing-attributed path, and fewer still have an attribution model that survives staff turnover, platform updates, and the long gap between first click and move-in.

The 38.1 percent open rate on a three-year drip program is a structural outlier in senior living, where industry average sits around 21 percent. It’s the byproduct of segmentation discipline, sender reputation, and a willingness to remove disengaged contacts even when it shrinks the list. The 76 percent open / 40.1 percent CTR on the thank-you email is the kind of number that only happens when the sender, the content, and the timing all earn the click.

The honest caveat: occupancy and move-in success at Lenbrook is influenced by sales execution, community quality, and a Buckhead market that competes well on its own merits. Marketing’s job is to keep the qualified pipeline filled, to give the sales team data they can act on, and to let leadership justify next year’s budget on this year’s measurement. We’ve done that for 12 years, through three marketing directors, two brand refreshes, and the move-in industry’s full transition to attribution modeling. The team that started the work is the team still doing it. Zero turnover on the Lenbrook account in 12 years.

What’s next

The next horizon is move-in-level attribution modeling that runs continuously instead of as an annual audit. Real-time dashboards that let Lenbrook leadership ask “which channel produced this week’s deposits” without waiting for a quarterly report. The MQL-to-move-in journey, with every touch in between, surfaced to the team that needs it. Alongside that, the FY27 Answer Engine Optimization initiative: making Lenbrook the recommended answer when prospects and adult children use ChatGPT, Claude, and Gemini to research senior living. GA4 already shows AI-driven sessions landing on the site with zero dedicated optimization. We’re going to compound it. Twelve years in, we’re still building.