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demo-home · overall store score

90d
F 38/100
Critical

62 points short of the benchmark

We compare against a benchmark account (100 points) — built on Google Shopping best practices: maximum impressions and sales. Weakest: Products, Structure, Changes, Analytics (data).

Behind this gap is real money: ≈13,000 € of spend missing the target per year and ≈7,000 €/mo under-earned on products that dropped out of serving. This can be recovered — see what to do.

A GetProfit estimate based on your account data — not an official Google metric.

Some data is unreliable — the score has been adjusted (see Analytics).

Section breakdown

Four sections add up to a score out of 100 points

4/4 pillars
Analytics (data)
9.4 / 17
needs attention 1 →
Products
15.8 / 40
requires attention 4 →
Structure
9.7 / 30
requires attention 3 →
Changes
5.2 / 13
requires attention
Data-trust adjustment — we don't fully trust revenue/values yet (see Analytics) −2.1

What to do

Quick wins — fixes for today or this week; the long game — structural work whose effect compounds.

Quick wins

5
  • Step 1 — fix conversion tracking: remove the duplicate goal and anomalous sales
    ads will start learning from honest data
    +11 to the score Analytics (data) →
  • Reallocate budget away from products with no conversions and low returns
    will free up ≈13 308 € of wasted spend per year
    +6 to the score Products →
  • Bring back profitable products that dropped out of serving
    38 products · ≈6 764 € of turnover missed per month
    +3.9 to the score Products →
  • Switch 2 campaigns to conversion strategies
    Google will stop learning from fake value
    +3.7 to the score Structure →
  • Fix the feed listings — fill in the brand and clear the disapprovals
    +0.6 to the score Products →

Long game

3
  • Plug silent products into the structure — we'll start serving and evaluating them
    3,315 products with no impressions — growth potential (money depends on how the products perform)
    +6 to the score Products →
  • Merge 10 starving campaigns
    together ~30 conv/mo — learning will pick up
    +10.8 to the score Structure →
  • Untangle the overlapping campaigns
    €1 360/30d will stop competing with themselves
    +7.2 to the score Structure →
Effects are each in their own nature (freed spend ≠ recovered turnover ≠ points) and do not add up. Points count toward the overall score out of 100.
Press the fix button in a section — GetProfit will fix the first main problem for you
Spend
10,397 €
+1.3% vs previous period
Revenue
19,729 €
+0% vs previous period
ROAS
1.9x
-1.3% vs previous period
Conversions
94
+0% vs previous period

Dynamics over 90 days

Revenue by week and ROAS (line)

month's pace: 44% above the goal

Score dynamics

How the store's letter changed over time · scored on the 90-day canon (independent of the selected period)

07.01 · F · 37/100 37 07.01 28.01 · F · 39/100 (+2) 39 28.01 18.02 · F · 36/100 (-3) 36 18.02 11.03 · F · 40/100 (+4) 40 11.03 01.04 · F · 38/100 (-2) 38 01.04
now: F · 38 (-2)
Why the score changes.
  • 01.04 38 (-2) — Starting point: how the store lived before GetProfit