Metric table
Sprig Salad Bar, 3 locations. Periods: 2026-08-01 to 2026-08-31 (Aug, 31 days) vs 2026-09-01 to 2026-09-30 (Sep, 30 days). The lengths differ by 1 day, (31 - 30) / 30 = 3.3 percent, which is within 10 percent, so I compare them as given and note the day counts. Interactions = calls + website clicks + directions; no messages or bookings were given.
| Location | Period | Views | Searches | Calls | Website clicks | Directions | Interactions |
|---|---|---|---|---|---|---|---|
| B1 Downtown | Aug | 4,200 | 3,100 | 120 | 340 | 610 | 120 + 340 + 610 = 1,070 |
| B1 Downtown | Sep | 4,350 | 3,300 | 95 | 300 | 520 | 95 + 300 + 520 = 915 |
| B2 Midtown | Aug | 2,800 | 2,000 | 70 | 210 | 380 | 70 + 210 + 380 = 660 |
| B2 Midtown | Sep | 3,100 | 2,250 | 78 | 240 | 410 | 78 + 240 + 410 = 728 |
| B3 Airport | Aug | 1,500 | 900 | 10 | 60 | 0 | 10 + 60 + 0 = 70 |
| B3 Airport | Sep | 1,200 | 700 | 8 | 50 | 0 | 8 + 50 + 0 = 58 |
| All 3 | Aug | 8,500 | 6,000 | 200 | 610 | 990 | 1,800 |
| All 3 | Sep | 8,650 | 6,250 | 181 | 590 | 930 | 1,701 |
All 3 rows are sums of B1 + B2 + B3, for example Sep views 4,350 + 3,100 + 1,200 = 8,650 and Sep interactions 915 + 728 + 58 = 1,701.
Change table
Rules: change = Sep minus Aug; percent change = change / Aug, one decimal.
| Location | Views | Searches | Calls | Website clicks | Directions | Interactions |
|---|---|---|---|---|---|---|
| B1 Downtown | +150 (+3.6%) | +200 (+6.5%) | -25 (-20.8%) | -40 (-11.8%) | -90 (-14.8%) | -155 (-14.5%) |
| B2 Midtown | +300 (+10.7%) | +250 (+12.5%) | +8 (+11.4%) | +30 (+14.3%) | +30 (+7.9%) | +68 (+10.3%) |
| B3 Airport | -300 (-20.0%) | -200 (-22.2%) | -2 (-20.0%) | -10 (-16.7%) | 0 (0 in both months; no percent) | -12 (-17.1%) |
| All 3 | +150 (+1.8%) | +250 (+4.2%) | -19 (-9.5%) | -20 (-3.3%) | -60 (-6.1%) | -99 (-5.5%) |
How these metrics count: views count unique people per day, so one person viewing several times on the same day counts once. Searches update at the start of each month and can take up to 5 days to appear. Performance data includes both organic results and Google Ads. Only verified profiles have data.
Search terms
B1 Downtown, Sep: 'salad near me' 900, 'sprig salad' 600, 'healthy lunch' 300. These 3 terms add to 900 + 600 + 300 = 1,800 of Downtown's 3,300 Sep searches; the rest were not listed. No Aug terms and no terms for Midtown or Airport were given, so there is no comparison.
Flags
Rule: interactions fell while views rose or fell by less than 5 percent. - B1 Downtown: views +3.6%, interactions -14.5% (1,070 to 915). Calls -20.8% and directions -14.8% fell most. Your profile changes line says Downtown "changed hours on Sep 3 (now closes 7 pm instead of 9 pm)". It is the only Downtown change you listed; whether it explains the drop is a question to check, not a finding. - Not flagged by this rule: B2 Midtown (interactions rose) and B3 Airport (views fell 20.0%, more than 5 percent). - Search data: the Sep period ends on 2026-09-30, not in the first 5 days of a month, so no incomplete search data flag. - Flags raised: 1.
Follow ups
- B1 Downtown: check whether the lost calls and directions were in the 7 pm to 9 pm window, using call times from your own phone records if you have them.
- B1 Downtown: confirm the profile shows the new closing time on every day it applies.
- B3 Airport: every metric with a prior value fell (views -20.0%, interactions -17.1%), and you listed no Airport profile change. Directions at 0 in both months fits your note that it is "inside security". I have no cause from your input; see the question below.
Questions for you
- Did anything change for B3 Airport in September, on the profile or at the location?
- Did any Google Ads activity for these locations change between Aug and Sep? These numbers include Ads.
- Google says local ranking mainly depends on relevance, distance and prominence. Did any Downtown or Airport profile details (categories, description, photos) change that you did not list?
Needs your decision
- No profile field has been edited. Approve any hours or profile change before it is made.