Automatisierter ROI- & Prozess-Audit-Rechner mit Zapier Tables, Python & Gmail

Hi and welcome to the Community, ​@Sebahat Zambak 👋

Love that you're using Python for the calculations! Would you mind sharing an example of the code being used in the Zap? It could be really useful to anyone trying to replicate a similar setup. Thanks!

Hier ist das Python-Codebeispiel aus meinem Zap:

1. Input Data Variablen:

• zeit_pro_fall_minuten

• haeufigkeit_pro_monat

• stundensatz_eur

2. Python-Code (Code by Zapier)

# Parse input values - convert from strings to floats
zeit_pro_fall_minuten = float(input_data.get('zeit_pro_fall_minuten', '0') or 0)
haeufigkeit_pro_monat = float(input_data.get('haeufigkeit_pro_monat', '0') or 0)
stundensatz_eur = float(input_data.get('stundensatz_eur', '0') or 0)

# Calculate monthly costs: (Zeit × Häufigkeit × Stundensatz) / 60
monatliche_kosten_eur = (zeit_pro_fall_minuten * haeufigkeit_pro_monat * stundensatz_eur) / 60

# Calculate annual costs: monthly costs × 12 months
jahreskosten_eur = monatliche_kosten_eur * 12

# Return the calculated values rounded to 2 decimal places
return {
    'jahreskosten_eur': round(jahreskosten_eur, 2),
    'monatliche_kosten_eur': round(monatliche_kosten_eur, 2)
}

# Parse input values - convert from strings to floats
time_per_case_minutes = float(input_data.get('time_per_case_minutes', '0') or 0)
frequency_per_month = float(input_data.get('frequency_per_month', '0') or 0)
hourly_rate_eur = float(input_data.get('hourly_rate_eur', '0') or 0)

# Calculate monthly costs: (time × frequency × hourly rate) / 60
monthly_cost_eur = (time_per_case_minutes * frequency_per_month * hourly_rate_eur) / 60

# Calculate annual costs: monthly costs × 12 months
annual_cost_eur = monthly_cost_eur * 12

# Return the calculated values rounded to 2 decimal places
return {
    'annual_cost_eur': round(annual_cost_eur, 2),
    'monthly_cost_eur': round(monthly_cost_eur, 2)
}

Thanks so much for sharing the code you used ​@Sebahat Zambak, really appreciate it! 🤗

Lovely build, and pairing Zapier Tables with a short Python step keeps the logic readable rather than buried in spreadsheet formulas. The ROI calculator as a lead magnet is a thoughtful touch, since prospects see value before anyone picks up the phone. One small suggestion, if I may: a gentle sanity check on the hourly rate input would keep odd figures out of the report. Thank you for sharing the code example as well, it will help anyone hoping to replicate this.

Thank you so much for the wonderful feedback! I'm thrilled to hear that you liked the build.

You hit the nail on the head regarding the architecture: combining Zapier Tables with a short Python step keeps things so much cleaner and easier to maintain than digging through complex spreadsheet formulas. And I completely agree about the ROI calculator as a lead magnet—it works so well because prospects can see immediate, tangible value before anyone even picks up the phone.

Also, thank you for the great suggestion regarding a sanity check on the hourly rate! That's a smart tip to filter out odd figures and keep the reports clean. I'll definitely implement that!

I'm really glad the code example is helpful to anyone looking to replicate this approach as well. Thanks again for your time and kind words!