Campaign Methodology

How the Model Works

The campaign effectiveness model is fundamentally multiplicative. Each factor (category, brand, offer type, value, distribution) influences different stages of the conversion funnel. A multiplier of 1.0x means the factor has no effect, while values above or below 1.0x amplify or dampen the baseline conversion rate. The compounding nature of these multipliers means small improvements across multiple factors yield disproportionately large improvements in overall campaign performance.

CTR = 3.0% base × category × brand × offer type
Opt-in rate = offer base × brand × category × value × depth
Redemption rate = offer base × brand × category × distribution × value × depth
CPR = weekly budget / (impressions × CTR × opt-in × redemption)

The key insight is that a campaign with five 1.15x multipliers compounds to 2.01x overall effectiveness, not 1.75x. This multiplicative structure rewards campaigns that optimize across multiple dimensions rather than focusing on single factors.

The Conversion Funnel

The campaign converts users through four distinct stages. Each stage represents a progressive filtering of the audience, with downstream stages influenced by upstream performance and specific conversion factors.

Impressions (100%)
100%
People who see the ad. Driven by budget and CPM (set by distribution/retailer).
Clicks (65%)
65%
People who click. Driven by CTR, which is influenced by category, brand, and offer type.
Leads (35%)
35%
People who submit their email. Influenced by offer value, brand trust, and category appeal.
Redemptions (15%)
15%
People who buy and submit a receipt. Influenced by offer value, purchase friction, and store access.

Product Category

Product category has the widest range of impact across the funnel. Desserts and sweets drive significantly higher engagement and redemption, while protein categories struggle with opt-in and redemption despite reasonable click-through rates. The category baseline is calibrated against historical campaign performance across dozens of product types.

Category CTR Opt-In Redemption
Dessert / Sweets / Treats 1.20x 1.25x 1.45x
Produce 1.08x 0.95x 0.38x
Snacks 1.02x 1.10x 1.30x
Beverage 1.00x 1.20x 1.40x
Condiments / Sauce / Dips 1.00x 0.95x 1.10x
Bakery / Bread 0.95x 1.00x 1.05x
Dairy 0.95x 0.95x 0.90x
Frozen 0.92x 0.95x 1.00x
Protein / Meat 0.72x 0.45x 0.75x
Housewares 0.85x 0.75x 0.55x
Why protein stands out: Meat campaigns see significantly lower opt-in rates (0.45x baseline) and redemption rates (0.75x) compared to other categories. This reflects purchase barriers (higher unit prices, limited distribution, consumer skepticism about coupons) that no offer adjustment fully overcomes.

Brand Recognition

Brand familiarity dramatically improves conversion across all funnel stages. Household names drive 1.25x CTR and 1.50x opt-in rates, while unknown brands face significant headwinds (0.95x CTR, 0.85x opt-in). Brand recognition builds trust, which translates directly into higher engagement and redemption.

Brand Tier CTR Opt-In Redemption
Household Name 1.25x 1.50x 1.50x
Well Known 1.05x 1.35x 1.40x
Emerging / Regional 1.00x 1.00x 1.00x
New / Unknown 0.95x 0.85x 0.90x

Note: Emerging / Regional is the neutral baseline (1.00x across all metrics). Household names are worth approximately 50% more conversions due to trust and familiarity alone, regardless of offer quality.

Offer Type

Different offer structures drive fundamentally different conversion patterns. Free products create the highest friction on the redemption side but win on opt-in, while percentage discounts get clicks but struggle with actual purchase conversion. The model treats offer type as the foundation for both opt-in and redemption rates, with other factors serving as multipliers.

Offer Type CTR Weight Base Opt-In Base Redemption
Free Product 1.35x 45% 11.5%
BOGO 1.02x 22% 6.5%
$ Off 1.00x 22% 5.5%
% Off 0.97x 16% 4.0%
Free vs. BOGO: Both represent 100% discounts but perform differently. Free products generate nearly 2x the opt-in rate but face redemption friction (free items require store availability, shelf space, checkout mechanics). BOGO offers drive purchase motivation through reciprocity, resulting in higher redemption relative to opt-in.

Offer Value and Discount Depth

The perceived value of an offer drives opt-in and redemption independently of discount depth. A $10 off offer on a $12 product (83% discount) converts better than a $10 off offer on a $40 product (25% discount) because the absolute value signals better savings. Discount depth measures how aggressive the discount is relative to suggested retail price.

Discount Value Opt-In Redemption
$8.00+ 1.25x 1.40x
$5.00 - $7.99 1.10x 1.15x
$3.50 - $4.99 1.00x 1.00x
Under $3.50 0.88x 0.80x
Discount Depth (% of SRP) Opt-In Redemption
75%+ of SRP 0.95x 0.90x
50 - 74% 0.90x 0.80x
30 - 49% 0.80x 0.65x
Under 30% 0.65x 0.45x
Low-value free product penalty: A free product with an SRP under $3.50 compounds to just 0.70x redemption (0.88x value × 0.80x depth). The model reflects consumer skepticism: deep discounts on cheap products feel like loss leaders rather than genuine savings.

Retailer and Distribution

Distribution channel determines both the cost of reaching customers (CPM) and the likelihood of successful redemption. Walmart's nationwide reach is the most expensive but most effective. Costco has lower CPM but requires membership and has lower redemption due to higher friction. Regional and limited campaigns reduce CPM but also redemption multipliers, reflecting the trade-off between efficiency and scale.

Retailer CPM Redemption
Walmart - Nationwide $40 1.20x
Target - Nationwide $24 1.20x
Kroger - All Divisions $30 1.10x
Costco - All Warehouses $30 0.95x
Whole Foods - All Stores $34 1.00x
Walmart - Regional (1K+) $36 1.05x
Walmart - Limited (<500) $22 0.85x
Costco - Regional $26 0.80x
Hy-Vee $26 0.85x

Additional retailers: The full calculator includes dozens of additional regional and specialty retailers. Each has calibrated CPM and redemption multipliers based on network size, customer demographic, and redemption processing friction.

Sweepstakes

Sweepstakes campaigns follow a parallel model to standard offers but with distinct conversion characteristics. The allure of a large prize drives higher CTR and opt-in rates despite lower redemption (customers enter for the prize, not necessarily with intent to purchase). Opt-in adjustments are more conservative since category and brand matter less than prize desirability, while redemption adjustments remain category-driven.

Prize Type CTR Weight Base Opt-In Base Redemption
Premium Experience 1.50x 55% 8.0%
Product for a Year 1.15x 38% 6.0%
Gift Card ($250) 1.05x 30% 4.0%

Opt-In Adjustments

Category impact is dampened to 40% normal effect. Brand recognition only affects Tier 2 and 3 prizes (premium experience appeals to brand loyalists). This reflects that opt-in is driven more by prize appeal than product fit.

Redemption Adjustments

Full category and brand multipliers apply to redemption. Customers who enter sweepstakes still need motivation to purchase, which is driven by brand trust and product appeal.

Entry Mechanics: One entry per email address; additional entries require a valid receipt from any participating retailer. Receipt-based entries do not require product purchase at that retailer, allowing cross-retailer participation.