Aged life insurance leads

Aged records are usually sold in age bands — 30 to 60 days, 90 days, 6 months, 12 months and older — and priced downward as they get older. The intuitive assumption is that a 30-day lead performs far better than a 12-month lead. In practice the drop is steepest in the first days and flattens out considerably after that.

The reason is that two different things decay at different speeds:

• Intent decays fast. Someone who requested a quote in March has usually either bought something or lost interest by June.
• Contactability decays slowly. The phone number is usually still theirs a year later.

So a 90-day lead and a 12-month lead may reach a similar share of people. What changes is the conversation. On a 12-month record you are not following up on a request; you are running a warmish cold call to someone who once raised their hand about life insurance.

That reframe is the whole skill of the format. Agents who work aged data as *follow-up* get confused and frustrated. Agents who work it as *prospecting with a reason to call* do fine.

The other thing that matters more than age: whether the vendor is selling the same file to fifty agents this month. Aged data is frequently non-exclusive by nature.

Aged leads are the cheapest format in the market by a wide margin, frequently priced in cents per record and often sold in blocks of hundreds or thousands with minimum order sizes.

Because the price is so low, the format tolerates failure rates that would destroy any other channel. Work an example:

• 2,000 aged records at $0.25 = $500
• Reach 10% with a real conversation = 200 contacts
• 10% of those are still genuinely interested = 20 conversations worth having
• Close 20% of those = 4 policies
• $500 ÷ 4 = $125 acquisition cost per issued policy

That number looks absurd next to any other format, and it is misleading in one specific way: it ignores your time. Those 2,000 records might represent 6,000 to 8,000 dial attempts. At a realistic pace, that is weeks of dialing.

So the honest cost formula for aged leads is:

True cost = record cost + (hours of dialing × what your hour is worth).

With a dialer, cheap labor, or spare hours you are not otherwise monetizing, aged data is extremely efficient. If your calendar is full of appointments from fresher leads, dialing aged records is one of the most expensive things you can do with an afternoon.

The genuine danger in aged data is stale consent and stale phone status on old consumer records.

Things that change between when a lead was generated and when you dial it a year later:

• The number may have been ported, reassigned, or disconnected.
• The consumer may have joined the national Do Not Call registry since submitting.
• The original consent language may not cover you, depending on how the form was worded and how it was resold.
• The prospect may have already bought a policy and be actively hostile to calls.

Treat every aged file as requiring your own scrub, not the vendor's assurance. Practical steps:

• Run the file against DNC and litigator-scrub services before the first dial.
• Check line type. Manually dialing a wireless number is a different regulatory picture than autodialing one, and aged files are heavily wireless.
• Keep the original opt-in record the vendor supplies — source URL, timestamp, IP, and form language. If a vendor cannot provide that, that is a reason to walk.
• Log your own call records. Aged data is exactly where a complaint becomes expensive because you cannot reconstruct what happened.

The cheapest lead in the market can still generate the most expensive letter you ever receive. Budget scrub costs into the per-record price when you compare vendors.

Aged suits agents with a dialer and time, agencies training new phone staff on low-stakes records, and anyone building a long-term nurture database rather than chasing this week's appointments. It also suits cross-selling — an old life record is often a fine Medicare or final expense conversation.

Aged does not suit agents whose limiting factor is hours rather than dollars, or anyone who needs business this week.

Working the file

• Sort before you dial. Prioritize by age band, then by state, then by whatever demographic field the vendor supplied. Do not dial a 3,000-record file top to bottom in the order it arrived.
• Open differently. Referencing a request from eleven months ago as if it were yesterday makes you sound like a robot reading a field. A short, plain opener about why you're calling now works better.
• Expect and plan for dead numbers. A meaningful share of any aged file will be disconnected. That is priced in, not a defect.
• Recycle rather than discard. Records that don't answer this month are worth another pass in ninety days. You already own them.

The most common mistake is buying a huge file, dialing 200 records in one demoralizing afternoon, and abandoning the rest. The format only works at completion. Half-worked aged data is money spent on a file you own and never called.