# How do I redistribute sales fairly if I want to increase the growth percentage?

#### tblackwell

##### New Member
I am working on a sales forecast for 2020. The forecast has 92 locations and I have sales by week by site for Period 1 2019 and a forecast of sales by week for Period 1 2020.

Period 1 2019 Sales Total: \$11,586,579
Period 1 2020 Sales Forecast: \$11,57,090
Dollar Change in sales 2019 to 2020: +\$512
Percent Change in sales 2019 to 2020: +0.00%

Let's say I think the forecast of +0.00% is too conservative and I want to raise the forecast to +1.00%. This would mean that...

Period 1 2019 Sales Total: \$11,586,579
Period 1 2020 Sales Forecast: \$11,702,445
Dollar Change in sales 2019 to 2020: +\$115,886
Percent Change in sales 2019 to 2020: +1.00%

This means that I would need to raise my forecast by \$115,354 across 92 locations

What is the best way to distribute the \$115,354 fairly across all 92 locations and the best way to do this in a formula in excel?

(Windows 10 Pro, Office 365)

ABCDEFGHIJKLMNOP
1Period \$ ChangePeriod % Change
2Period Total11,586,57911,587,0905120.00%
3Weekly Subtotal2,388,2672,248,0822,212,1582,329,6192,408,4532,372,6772,344,2862,291,3382,307,0312,271,759115,8661.00% 11,702,445
4115,354
5Week Ending1/8/20191/15/20191/22/20191/29/20192/5/20191/7/20201/14/20201/21/20201/28/20202/4/2020
6
7P1W1P1W2P1W3P1W4P1W5P1W1P1W2P1W3P1W4P1W5
8Store_NumTotal Net Sales WTDTotal Net Sales WTDTotal Net Sales WTDTotal Net Sales WTDTotal Net Sales WTDTotal Net Sales WTDTotal Net Sales WTDTotal Net Sales WTDTotal Net Sales WTDTotal Net Sales WTD
9600123307.119711.3218721.7120915.3620852.320342.309417708.916521525.099420972.861420988.9583
10600219289.6314013.5613670.4516415.4914924.9217121.397914408.406916586.853517366.846117122.4549
11600326350.2222814.2420506.8424964.9825644.9828160.7326445.304126741.672522662.070721082.49
12600418357.815772.2316944.8718257.8719619.8117846.549715484.538118654.821818143.334318396.6408
13600519162.4215005.2415267.7817336.3918421.1918113.292819287.314718948.740718300.035617346.7812
14600630017.9725498.3526161.2528485.6330189.325406.068225406.068228423.802523990.194124916.5099
15600723462.6822524.4817704.3620662.824215.7323660.774823660.774825029.5322144.827519146.4872
16600833073.1727137.8330216.7230279.731712.2933416.143133416.143130327.797523884.607326021.835
17600923660.0422442.9625441.5528043.2327881.3925873.445226560.348828280.442929442.793428460.29
18601029743.8322766.0622139.4425437.6330035.2126371.670527921.131329661.755627603.433627407.8259
19601121599.2819281.1819843.120988.820455.918560.214716949.579317952.547218393.395617845.8451
20601214600.9211388.3812722.6913643.3114548.9514107.412212580.438310834.96212381.596412532.0485
21601328025.6825027.823630.0826714.6227391.9126094.698526094.698525623.862522355.35221475.0974
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49605529168.8628621.6428156.8328526.5430645.229411.190230172.801726572.198428608.012528903.9314
50605722752.4622349.6121510.5221407.3321666.4521146.895620229.207219676.903120450.601319738.4136
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</tbody>
Sheet1

Worksheet Formulas
CellFormula
F2=SUM(B3:F3)
L2=SUM(H3:L3)
B3=SUBTOTAL(9,B9:B111)
C3=SUBTOTAL(9,C9:C111)
D3=SUBTOTAL(9,D9:D111)
E3=SUBTOTAL(9,E9:E111)
F3=SUBTOTAL(9,F9:F111)
H3=SUBTOTAL(9,H9:H111)
I3=SUBTOTAL(9,I9:I111)
J3=SUBTOTAL(9,J9:J111)
K3=SUBTOTAL(9,K9:K111)
L3=SUBTOTAL(9,L9:L111)
P3=F2*(1+O3)
N2=L2-F2
O2=N2/F2
N3=P3-F2
N4=N3-N2

</tbody>

<tbody>
</tbody>

#### Rijnsent

##### Well-known Member
Hi Tblackwell,
if you want to raise total by 1%, you can raise all the underlying values by 1%. So basically add 1% to all shops. Is that what you are looking for?
Cheers,
Koen

#### tblackwell

##### New Member
Hi Tblackwell,
if you want to raise total by 1%, you can raise all the underlying values by 1%. So basically add 1% to all shops. Is that what you are looking for?
Cheers,
Koen
Koen - No because I want to evenly distribute the \$115,354 across 92 locations. Each location has a different volume, so 1% evenly spread would not equal \$115,354.

#### igold

##### Well-known Member
I don't have the formula for you but the best way in my opinion is to use a weighted average. Meaning figure out the percentage that each of the 92 locations contributed to the 11,586,579 and distribute the new forecast back to the 92 locations by their respective percentage contribution to the original.

#### Rijnsent

##### Well-known Member
Hi tblackwell,
so you want to add 1/92nd of that \$115354 to every location? That does mean that locations with a lower sales e.g. row 65 have to grow much more vs e.g. row row 84. If you want that you could add 1/92nd (divided by 5 weeks) to every week. That feels a bit unfair to the lower selling units, but I don't know your business.
Koen

#### igold

##### Well-known Member
Hi Rijnsent,

If you are replying to what I suggested then you missed the jist of it. For example, Store 6001 in the first week contributed 23307.01 to the 11,586,579 that is equal to 0.2012%. Multiply the proposed increase by that percentage to figure how much of the increase should be placed upon that store for that corresponding future period.

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