Digital Marketing Mix Simulator

Channel Spend

SEO / organic 40

Social media 40

Email 40

Cross-channel synergy 0.50

Campaign Output

Combined reach

Triple-exposure

Est. conversions / 100k audience

Cost per conversion

$0.00

How it works

Each channel's audience reach saturates with spend — the classic marketing-mix diminishing-returns curve:

r_i(spend) = Rmax_i · (1 − e^(−k_i · spend/100))

SEO compounds slowly toward a high ceiling (R_max=100%, k=1.6), social media ramps fast but plateaus lower (R_max=88%, k=4.5), email is cheap and precise but list-limited (R_max=55%, k=6.0). Assuming independent audiences, the combined reach is the probabilistic union:

reach = 1 − (1−r_seo)(1−r_social)(1−r_email)

The fraction hit by all three channels at once (the triple-exposure term r_seo·r_social·r_email) is where repeated, consistent messaging compounds. The synergy slider scales how strongly that triple-exposure lifts the conversion rate on top of the base rate:

convRate = base · (1 + synergy · 3 · r_seo·r_social·r_email)
conversions = reach · audience · convRate

Spend sliders — move budget between SEO, social and email; each tower's height and particle flow rate track its own reach curve.
Synergy slider — with it at 0, only reach matters and channels don't reinforce each other; near 1, an audience seeing all three channels converts far more efficiently, rewarding balanced spend over dumping budget into one channel.
The central sphere's size is the combined reach and its color blends each channel's contribution; its glow pulses faster as conversions rise.

This is the same union-of-diminishing-curves logic real marketing-mix models (MMM) use to justify spreading budget across channels instead of maximizing a single one.

SEO Social Email

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