Daylight: New Lease Pricing Guide

Learn how to read the new lease dashboard, take rate actions, and understand your recommendations

Written By Jaime Dorn (Super Administrator)

Updated at May 21st, 2026

This article covers:

  • New Lease Dashboard: Key metrics explained, including current rent, recommended rent, projected occupancy, and comp data
  • How the Model Makes Recommendations: The 8 demand drivers (4 property + 4 competitor) that shape every pricing suggestion
  • Net Effective Rent (NER): How concessions are factored into recommendations and why Daylight prices off NER, not gross rent
  • Taking Rate Actions: How to accept, hold, or override a recommendation, and when to use each
  • User Roles: Submitter vs. Admin permissions
  • Loss Leaders: How to set unit-level price offsets and how they behave
  • Auto-Acceptance Guardrails: Optional admin setting to auto-approve recs within daily and weekly limits
  • Common Questions: Why the model may suggest a decrease at high occupancy, how average rent is calculated, and how often data refreshes


New Lease: Bed Group Dashboard at a Glance

Tip

Check the timestamp icon on each property before actioning. If a property hasn't been updated, this is your first diagnostic step.

 

Metric

 

What It Means

 

Current Rent

Average, fully amenitized price of all available units in the bed group. Not what units have leased for, what they're listed at now.

Recommended Rent

Today’s average rent recommendation for the bed group, including unit amenities, floor plan premiums and discounts. 

Base Recommended Price Change

This is a recommended price change for the bed group, calculated based on your target occupancy, property drivers and local competitor data.

Projected Occupancy %

The projected percentage of units expected to be occupied in the bed group at the end of 84 days if no price change is taken. 

Projected Leases

Total projected leases (84d) at current rent compared to the number of leases needed to hit the occupancy goal. Sub-metric displays past 7d and 28d leasing history. 

Target Leases (in the grey)

Leases needed to stay on track for Target Occupancy. The gap between Expected and Target is the primary driver of pricing direction.

Leased Rent

Avg of the last 5 leases signed in the trailing 84 days, fully amenitized. Lease terms client dependent.

Forecasted Trade-Out %

Projected % gain or loss if all available units leased at today's rec price vs. prior leased rent. Available units only.

Comp 28 Day Average

Trailing 28 day average rent for available units in the comp set excluding the subject and the % change from the prior 28 days (all public data).

Subject 28 Day Average

Trailing 28 day average rent for available units in the subject property and the % change from the prior 28 days (integrated data). 

Timestamp Icon (coin checkmark next to new leases title)

Time/date of last successful PMS sync prior to 7am EST.

Market Position % (hover over)

Where your avg rent sits vs. comp set avg. One of the four model drivers. Hover over current rent and/or recommended rent to access this metric.

 

How the Model Decides — 8 Demand Drivers

Daylight bases every recommendation on eight demand drivers to ensure a balanced market view:

  • Property Drivers (4): Derived from your integrated internal data.
  • Competitor Drivers (4): Established using public market performance data.

 

Driver

Type

What It Measures

 

Direction Logic

 

Recent Leasing Velocity

Subject

Trailing 12 weeks of leases adjusted for exposure. Applications are a leading indicator.

Strong velocity → increase. Slowing → decrease.

Seasonality

Subject

Same 12 week (84-day window) last year vs. this year, plus forward-looking seasonal signal.

Strong same-period last year → increase. Weak → tempers rec.

Asking vs Achieved

Subject

Compares asking to achieved NER PSF in the last 5 leases

Comps above your rate → increase. Comps cutting → decrease.

YoY Leasing Trend

Subject 

Change in signed leases for the trailing 12 week or 84 day period this year compared to last year.

Market growth YoY → supports increase. Decline → tempers rec.

Market Position (Asking vs Achieved)

Comp Driver

Where your asking rents sit vs. comp set avg rents and leasing velocity.

Comps above your rate → increase. Comps cutting → decrease.

Seasonality

Comp Driver

References comp set leases signed during the upcoming 12 weeks last year

Strong comp velocity → increase. Slowing comp velocity→ decrease.

Recent Lease Velocity

Comp Driver

Comp set leasing velocity in the last 12 weeks (84 days), adjusted for exposure

Strong velocity → increase. Slowing → decrease.

YoY Leasing Trend

Comp Driver

Comp set change in leases signed (T12 weeks) this year vs. last year.

Market growth YoY → supports increase. Decline → tempers rec.

 

Key: Daylight prices off NER — not gross rent. Concessions are baked in from day one.

Formula: (Gross Rent × Lease Term − Concession Value) ÷ Lease Term

Example: $2,000/mo · 12-month · 6 weeks free → Concession = $3,000 → NER = $1,750/mo — Daylight recommends off $1,750, not $2,000.
 

Taking Rate Actions

Navigate to New Leases. Each bed group shows a dropdown with three options:

Action

What It Does

When to Use

 

Take Recommendation

Accepts the model's suggested base rent. No comment required. All unit rents update automatically.

When you agree with the model.

Hold Yesterday's Rent

Locks current base rent — no push to PMS. Model recalculates tomorrow.

Market pauses, evaluating before acting.

Override

Enter a specific dollar amount or ± change. Full manual control.

When your market knowledge conflicts with the model. Document the rationale in the comment field.

 

Please review the article Conducting a Rate Review in Daylight for more information on taking a rate action. 
 

User Roles

  • Submitter: Views recommendations, requests loss leaders, submits rate actions for review — cannot approve.
  • Admin: Reviews submitted actions, modifies if needed, confirms. Can also take rate actions directly.
     

Establishing Loss Leaders: Unit-Level Overrides

Note: A loss leader is a fixed offset — not a standalone price. It moves with the bed group. 

For example, if you decrease a unit by −$10 today, and the bed group increases $10 tomorrow, that unit drops an additional $10. 

To establish a loss leader:

  1. Click the 4-dot icon next to a bed group.
  2. Find the unit and enter a fixed dollar offset (e.g., −$50).
  3. Add a comment. The Approver needs to understand your intent.
  4. Persists until unit leases. Does not reapply after re-vacancy.


Auto-Acceptance Guardrails (Optional Setting Configured by Admins)

The Daylight auto-acceptance feature can be enabled. This setting is enabled by an Admin user. This feature auto-approves recommendations within defined daily/weekly limits. Recs exceeding a guardrail are approved at the limit and flagged as partially accepted.

  • Daily Decrease Max: Max rent decrease Daylight can auto-approve in one day (e.g., −2%)
  • Daily Increase Max: Max rent increase Daylight can auto-approve in one day (e.g., +2%)
  • Weekly Decrease Max: Cumulative max decrease over 7 days (e.g., −4%)
  • Weekly Increase Max: Cumulative max increase over 7 days (e.g., +4%)
     

Tip: Check the Price History tab

  • Dotted line = recommendation
  • Solid purple line = approved rate. 
  • Auto-acceptance events are labeled on the new lease dashboard and within the price history tab. Example shown below.
     

 

Common New Lease Questions

  • Why is the system suggesting a decrease when my bed group has hit a high occupancy%? The model is forward-looking. The system will check Expected vs. Target Leases. If projected demand falls short over the next 84 days the model moves preemptively.
  • Why does my Base + Amenity + Floor Plan Premium not add up to avg rent? Lease terms add another layer. Average rent = best-term price averaged across all available units. Refer to the rent matrix for more information.
  • How often does data refresh in Daylight? Daily. Your PMS pulls after 6 PM ET, and posts to Daylight before 7 AM ET. 

 

Have additional questions? Please review the Daylight: FAQ , or Contact the ApartmentIQ Support Team.