A number that tells you who's serious
Raw analytics data requires manual interpretation. Engagement scoring distills every open, page view, return visit, and download into a single 0-100 number that tells you exactly where each LP stands — so you can run your fundraise like a real pipeline.
Start your free trialYou have forty LP prospects. Your analytics show opens, page views, time spent, and return visits for each one. But translating that raw data into a prioritized outreach list requires you to mentally weigh dozens of signals for each prospect. Who's more engaged — the LP who opened twice for ten minutes each, or the one who opened once for thirty? The answer depends on what they read, when they came back, and whether they downloaded the LPA.
Archstone's engagement scoring does this math for you. Every LP receives a composite score from 0 to 100, calculated from weighted factors: total read time, percentage of pages viewed, number of return visits, recency of last visit, and download activity. The algorithm is calibrated to fundraising behavior patterns — it knows that an LP who downloads the subscription agreement is a stronger signal than one who re-reads the investment thesis.
Scores update in real time as new engagement data flows in. You always have a current, ranked view of your pipeline without lifting a finger. When a partner asks “Who's most likely to commit this month?” you have a data-backed answer in seconds.
Every LP gets a composite score that synthesizes all their document interactions into a single number. Scores are normalized across your prospect pool so you can instantly compare engagement levels and identify outliers at either end.
Not all signals are equal. Total read time, percentage of pages viewed, return visit frequency, recency, and document downloads are each weighted based on their predictive value for LP commitment. The algorithm prioritizes signals that correlate with actual closes.
See how each LP's engagement score has moved over days and weeks. A rising score means increasing interest. A declining score means the window may be closing. Trend data helps you time your outreach for maximum impact.
LPs are automatically classified into tiers — hot (75-100), warm (40-74), and cold (0-39) — based on their engagement score. Filter your pipeline by tier to see exactly how many prospects are in each bucket and where to focus your energy.
Get notified when an LP crosses a tier boundary — from cold to warm, or warm to hot. These threshold alerts tell you when a prospect's behavior has materially changed and it's time to adjust your approach.
Export engagement scores and tier classifications to CSV for import into your CRM, or use the Archstone API to sync scores automatically. Keep your fundraise pipeline tools in sync without manual data entry.
Sort prospects by engagement score to see your fundraise funnel at a glance. Know exactly how many LPs are hot, warm, and cold. Track conversion rates from each tier to actual commitments and forecast your close timeline with data, not intuition.
Pull up your hot-tier LPs every Monday morning. These are the prospects with the highest engagement scores — the ones most likely to move forward. Build your weekly outreach calendar around the data instead of guessing who might be interested.
Walk into partner meetings with a scored pipeline view. Instead of “I think these five LPs are interested,” present “These five LPs have engagement scores above 80 and their scores have been trending up for two weeks.” Data replaces opinion.
The score is a weighted composite of total read time, percentage of document pages viewed, number of return visits, recency of last engagement, and download activity. Each factor is weighted based on its historical correlation with LP commitment. Scores update in real time as new data comes in.
Yes. The default weights are calibrated for typical fundraise behavior, but you can adjust the relative importance of each factor. If return visits matter more to your fundraise process than total read time, increase that weight. Changes apply retroactively to recalculate all scores.
Scores recalculate within seconds of any new engagement event. When an LP opens your document and starts reading, their score begins updating immediately. By the time they close the document, their new score and tier classification are already reflected in your dashboard.
Yes. Recency is a weighted factor, so scores naturally decline if an LP hasn't engaged recently. This ensures your hot tier always reflects currently active prospects rather than LPs who were engaged weeks ago but have since gone quiet.
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