Insurance Marketing

You protect their assets. We protect your ad spend.

Insurance keywords are among the most expensive on the internet, and the lead ecosystem is built to resell the same prospect five times. We run paid media, SEO, and CRM-integrated campaigns for agencies and brokers who want owned acquisition, policy-level attribution, and budgets that stop leaking.

Bound policiesthe metric campaigns optimize toward, fed back from your AMS or CRM to the platforms
Owned, not resoldacquisition your competitors can't buy, instead of aggregator leads sold five ways
Line-level trackingbudgets and benchmarks per line of business, because auto and commercial aren't one market
Why Two Trees

In insurance, wasted spend is the default. We built against it.

Brutal CPCs, resold leads, and quote-to-bind drop-off eat insurance budgets quietly. Every part of our engagement exists to stop one of those leaks.

Quote-to-bind attribution

We integrate your AMS or CRM with server-side tracking and offline conversion imports, so bound policies flow back to Google and Meta. The algorithms optimize toward people who bind, not people who browse quotes.

Line-of-business architecture

Personal auto, home, life, commercial, and specialty lines have different economics, seasons, and buyers. Each gets isolated campaigns, budgets, and benchmarks, so your cheapest line never quietly eats the budget of your most profitable one.

Lead quality enforced weekly

Your producers' feedback on lead quality flows back into targeting and bidding on a weekly cadence. Volume that doesn't bind gets cut, even when it makes the top-line numbers look worse, because bound premium is the number.

Compliance without paralysis

State insurance advertising rules and carrier co-op requirements shape what you can say and how. We build creative that sells inside those lines and documentation that keeps everyone comfortable.

The truth is

The insurance lead ecosystem is built to work against you.

Insurance runs some of the most expensive auctions in advertising, with high-intent keywords costing what most industries pay for a customer. That price attracted an entire industry of lead generators and aggregators who buy those clicks at scale, capture the shopper, and resell the same lead to you and four competitors simultaneously. Buying from them means funding your own bidding war and renting a pipeline you'll never own.

The way out is owned acquisition with attribution deep enough to justify it. When bound-policy data flows back to the ad platforms, campaigns learn the difference between a quote tourist and a buyer, and your cost per bound policy becomes a number you can actually manage. It takes infrastructure the lead sellers hope you never build, which is a good sign it's worth building.

Every dollar spent on resold leads trains the aggregators to outbid you. Owned acquisition compounds. Rented leads just renew.

We run the same server-side tracking and CRM attribution here that we run in every industry, tuned for the insurance funnel: quote, application, bound policy, renewal. The goal is simple: make your acquisition an asset instead of a subscription.

The difference

What switching actually changes.

Most agenciesTwo Trees
Lead sourceAggregator leads resold to competitorsOwned acquisition your competitors can't buy
The metricQuotes and leads, quality unknownBound policies and cost per bind, by line
Campaign structureAll lines blended in one accountIsolated architecture per line of business
Lead qualityComplained about, never enforcedProducer feedback tuning targeting weekly
AttributionStops at the quote formAMS-connected, bind data fed back to the platforms
How we work

Root. Grow. Scale.

The same three-stage framework runs every engagement. What changes is what your book reveals.

Root

Wire quotes to binds

Discovery on your lines, carriers, and book economics. Then the measurement layer: server-side tracking, AMS or CRM integration, and call tracking. No campaign scales until bind data flows back to the platforms.

Grow

Launch line by line

Isolated campaigns per line of business with dedicated budgets and landing pages. Producer feedback on lead quality runs weekly, and performance is read in binds and premium, not quote volume.

Scale

Fund what binds

The data shows which lines, keywords, and channels produce bound policies at acceptable cost. Those get more budget. Quote tourists get filtered out, and aggregator dependence shrinks as owned channels prove their math.

The first 90 days

What the first 90 days look like.

Days 1–30 Foundation
  • Marketing, tracking, and AMS/CRM audit
  • Server-side tracking and bind attribution deployed
  • Line-of-business campaign architecture built
  • Compliance and carrier requirements documented
Days 31–60 Launch & learn
  • Campaigns live per line of business
  • Call and quote attribution verified end to end
  • Producer lead-quality feedback loop running
  • First cost-per-quote benchmarks set
Days 61–90 Optimize & expand
  • Bidding shifted to bound-policy signals
  • Budgets rebalanced across lines on bind data
  • SEO and AI visibility roadmap prioritized
  • 90-day review against cost-per-bind targets

The price is the price. Here it is.

Paid media fees are a published percentage of ad spend, and SEO packages are listed with exact monthly deliverables. Agencies we work with typically invest $10,000 or more a month in ad spend per channel. It's all on the pricing page, before you've spoken to anyone.

See our pricing
Questions

Insurance marketing questions, answered straight.

The questions we hear most from agency principals and marketing leaders tired of paying for the same lead twice.

How is this different from buying insurance leads?

Purchased leads are rented pipeline: the aggregator owns the acquisition, resells the same shopper to multiple agencies, and raises prices as you become dependent. We build owned acquisition, campaigns, rankings, and AI visibility that belong to your agency, tracked to bound policies so the economics are provable. Most agencies transition budget gradually as owned channels beat their aggregator cost per bind.

Insurance clicks are incredibly expensive. How do you make the math work?

By optimizing to binds instead of clicks. When your AMS feeds bound-policy data back to Google and Meta, the platforms learn which searches and audiences produce buyers, and expensive clicks that never bind get priced out of your strategy. High CPCs are survivable when attribution is deep enough to tell profitable clicks from tourist traffic. They're fatal when it isn't.

How do you track from quote to bound policy?

We integrate your AMS or CRM with server-side tracking and offline conversion imports. Quotes, applications, and binds each flow back to the ad platforms as distinct conversion events, so campaigns optimize toward binding and your reporting shows cost per bound policy by line, channel, and campaign. Renewal data can feed the same loop for lifetime-value bidding.

Can you manage multiple lines of business without them competing?

That's the default architecture. Each line gets isolated campaigns, budgets, keywords, and benchmarks, because personal auto, home, life, and commercial have completely different seasons, CPCs, and margins. Blended accounts hide which lines actually make money, and unwinding that blend is usually the first month's biggest win.

What about lead quality? Our producers waste hours on bad leads.

Lead quality gets managed as a weekly discipline, not an annual complaint. Producer feedback and bind outcomes flow into targeting, negative keywords, and bidding continuously. Sometimes that means cutting volume that looks good in the dashboard, and we'll make that call openly, because your producers' time is part of the acquisition cost.

How much does insurance marketing cost?

Our paid media management is a published percentage of ad spend with a $10,000 monthly minimum per channel, and SEO packages run $2,999 to $5,999 a month with counted deliverables. All of it is on our pricing page. In this auction, the honest framing is comparative: measure us against your current blended cost per bound policy, including what you pay the aggregators.

Next step

Find out what a bound policy actually costs you.

Send us your lines, markets, and current acquisition mix. We'll tell you where the budget is leaking, what owned acquisition would cost, and whether your AMS can support real bind attribution. If your current setup is genuinely efficient, we'll say so.