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Offer Bandit: Stop Guessing Which Offer Converts, Start Testing

AI tests pricing, promotions, and ad offers across Google, Facebook, and your site—then auto-shifts budget to the offers that book at the best margin. Multi-armed bandit algorithm meets local services.

41%
Average ROAS improvement
23
Offers tested per month
$0.87
Cost per booked job (best offer)

The Problem: You're Spending on Offers That Don't Book

Same Offer, Different Results

"$50 off first service" crushes it in Phoenix. Bombs in Scottsdale. "$99 diagnostic" converts great in summer, dies in winter. You're running the same offer everywhere, all the time.

↓ Leaving money on table in some markets, burning cash in others

Low-Quality Leads at High Cost

"Free estimates" gets 200 clicks at $12 each. 180 are tire-kickers. "$99 service call" gets 40 clicks at $18 each. 35 book immediately.

↑ Doubled budget chasing cheap clicks, cost-per-booked-job went UP

You're Not Testing, You're Guessing

You change offers every quarter based on gut feel or what a competitor is running. No controlled tests. No data on what actually drives bookings at profitable margins.

Warning: Can't scale what works because you don't know what works

How Offer Bandit Works

Test offers → Track bookings & margin → Shift budget → Maximize profit

Define Test Offers

You provide 3–5 offers to test (e.g., "$50 off," "$99 diagnostic," "Free estimates," "10% off," "Senior discount"). AI creates ad variants and landing page versions for each.

Supports: Google LSA, Google Ads, Facebook, site banners, phone greetings

Allocate Initial Budget

AI splits your ad spend evenly across all offers (exploration phase). Each offer gets enough budget to gather statistically significant data.

Minimum test budget: $1,000/mo per city | Runs 14–28 days

Track Full-Funnel Metrics

AI tracks: impressions, clicks, CPC, leads, booked jobs, avg job value, margin per job. Calculates cost-per-booked-job (CPBJ) and return on ad spend (ROAS) per offer.

Integrates with: Google Ads, Facebook Ads, CRM (Housecall Pro, ServiceTitan, Jobber)

Multi-Armed Bandit Optimization

As data comes in, AI gradually shifts more budget to winning offers (high ROAS, low CPBJ) while still testing losers (exploration vs. exploitation balance).

Algorithm: Thompson Sampling with Bayesian updates | Balances learning vs. earning

Auto-Budget Reallocation

After 21 days, AI shifts 70%+ of budget to top 2 offers (clear winners), 20% to middle performers (possible seasonality), 10% to new tests (continuous learning).

Result: Stop burning money on losers while discovering new winners

Market & Seasonal Adaptation

AI detects when an offer's performance changes (seasonality, competition, market saturation). Automatically tests new variants or revives old winners.

Continuous optimization: Never set-it-and-forget-it, always learning

What You Get With Offer Bandit

Multi-Armed Bandit Testing

Not simple A/B testing—AI continuously learns and shifts budget to winners while exploring new variants. Never "locks in" to local optimum.

Full-Funnel Tracking

Track beyond clicks: leads, booked jobs, avg job value, margin per job. Optimize for revenue and profit, not just vanity metrics.

Auto-Budget Reallocation

AI shifts ad spend from losers to winners automatically. You approve strategy, AI executes daily optimizations.

Market-Specific Optimization

Different offers for different cities. "$50 off" wins in Phoenix? "$99 diagnostic" wins in Scottsdale? AI adapts per market.

Seasonal Adaptation

Detects seasonal shifts (HVAC in summer vs. winter, moving in summer, plumbing in freeze season) and tests seasonally relevant offers.

Margin-Aware Optimization

Not all bookings are equal. AI factors in job value and margin. Would rather book 10 jobs at $500 margin than 20 jobs at $100 margin.

Cross-Channel Testing

Tests offers across Google LSA, Google Ads, Facebook Ads, site banners, and email. Finds where each offer performs best.

ROAS Tracking by Offer

See exactly what you're getting back for every dollar spent on each offer. "Free estimate": 2.1x ROAS. "$99 diagnostic": 4.7x ROAS.

Competitor Offer Intelligence

AI monitors competitor offers via ad scraping and suggests tests inspired by what's working for them (legally and ethically).

Slack/Email Alerts

Get notified when offers hit profitability thresholds, when losers are detected, or when budget shifts happen.

Offer Library & Templates

Build a library of proven offers. Clone winning offers to new markets. Share templates across franchise locations.

Budget Safety Limits

Set max spend per offer, max CPBJ before pause, min ROAS thresholds. AI won't blow your budget on a loser.

Real Example: Phoenix Plumbing Company ($8K/mo Ad Spend)

Test: 5 Offers Across Google & Facebook (30 Days)

Offer Budget Leads Booked Avg Job $ Revenue ROAS CPBJ
$99 Diagnostic (Waived if booked) $2,800 127 89 $420 $37,380 13.4x $31
$50 Off First Service $2,400 156 78 $320 $24,960 10.4x $31
10% Off (up to $100) $1,600 92 41 $380 $15,580 9.7x $39
Free Estimates $800 201 23 $290 $6,670 8.3x $35
Senior/Military 15% Off $400 38 8 $260 $2,080 5.2x $50

What Offer Bandit Did

  • Week 1: Split budget evenly ($1,600 each) for exploration
  • Week 2: Detected "$99 diagnostic" and "$50 off" as clear winners, shifted 60% of budget to them
  • Week 3: Reduced "free estimates" and "senior discount" to 10% budget (losers), kept testing
  • Week 4: Final allocation: 35% to "$99 diagnostic," 30% to "$50 off," 20% to "10% off," 10% to new tests, 5% to losers

Results vs. Running All Offers Equally

Metric Equal Budget (before) Bandit Optimized (after) Improvement
Total Revenue $72,000 $86,670 +$14,670 (+20%)
Avg ROAS 9.0x 10.8x +20%
Cost Per Booked Job $33 $28 -$5 (-15%)
Total Booked Jobs 239 287 +48 jobs (+20%)

Same $8K ad budget → 20% more revenue by shifting spend to winners.

Pricing

Monthly platform fee + % of ad spend managed

Starter
$800/month
$3K–$10K/mo ad spend
  • Manage up to $10K/mo ad spend
  • 5 offers tested at a time
  • Google Ads + Facebook integration
  • CRM integration (1 platform)
  • Auto-budget reallocation (weekly)
  • Email alerts
Get Started
Most Popular
Growth
$1,600/month
$10K–$50K/mo ad spend
  • Manage up to $50K/mo ad spend
  • 10 offers tested at a time
  • Google LSA, Google Ads, Facebook, site banners
  • Multi-CRM integration
  • Auto-budget reallocation (daily)
  • Market-specific optimization
  • Competitor offer intelligence
  • Slack + email alerts
Get Started
Enterprise
Custom
$50K+ ad spend or multi-brand
  • Unlimited ad spend managed
  • Unlimited offers tested
  • Multi-brand/multi-location campaigns
  • Custom margin optimization logic
  • API access for custom integrations
  • Dedicated growth strategist
  • White-label reporting
Contact Sales

Setup: One-time $1,500–$3,000 setup fee includes: ad account audit, initial offer strategy, tracking pixel installation, CRM integration, landing page variants, and 2 weeks of test monitoring.

Add-Ons: Creative design for ad variants (+$400/mo), landing page design (+$800 one-time), call tracking integration (+$200/mo).

Who Offer Bandit Is Best For

Perfect If You:

  • Spend $3K+/month on paid ads (Google, Facebook, etc.)
  • Run multiple offers but don't know which actually converts best
  • Serve multiple markets with different economics
  • Want to maximize ROAS, not just clicks or leads
  • Have CRM tracking so you can measure booked jobs and revenue
  • Want data-driven optimization, not "set and pray"

Not Right If:

  • You spend less than $2K/month on ads (not enough data for tests)
  • You only run one offer and never plan to test others
  • You don't track bookings or revenue (can't measure success)
  • You're happy with current ROAS and don't want to optimize further

Stop Wasting Ad Spend on Offers That Don't Book

Let's set up Offer Bandit and start shifting your budget to winners.

Offer Bandit Success Stories & Industries

Revenue optimization across industries

Proven Results

E-commerce Revenue Growth

$2M → $8.8M annual revenue through strategic optimization. 340% revenue growth.

View Case Study

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