Database Reactivation Report: What Justifies Round Two

Published 6 November 2026 · Last updated 6 November 2026

Your database reactivation campaign produced a report. Before you approve round two, you need to know what that report actually proves. A single blended number can make a campaign look successful even when most conversations went nowhere. This tutorial is written for intermediate readers who want to read their own campaign report instead of trusting a headline figure. You will learn why one blended number hides the answer, how to sort inputs from outputs, and why dial volume and connect rate only prove the campaign ran. The real decision metric is recovery rate by segment. You will also examine cost per recovered contact and revenue per contact reached, then ask for a breakout by disposition code and segment splits so you can repeat, narrow, or stop. Finally, you will know one extra question to ask about consent basis and opt-out counts by segment. Aidan works with US insurance agencies, including franchisees working under Farmers Insurance and Allstate Insurance branding, on database reactivation, lead qualification, and Ricochet 360 sync. If you are preparing round two, start by asking for the right report, not a better slogan.

Why One Blended Number Hides the Answer in Your Database Reactivation Report

A single blended recovery rate for your whole database averages together groups that behave nothing alike: lapsed policyholders, quotes that never closed, leads that were never called, and wrong or duplicate records. Each carries a different relationship history, so the average describes none of them.

The figure also moves for the wrong reason. It shifts with the mix you dialed, not with whether the campaign worked. Dial a high-yield segment first and the blend looks strong even if most of the list did nothing. That is the trap: a good headline number built from one narrow slice. If a few hundred recoveries came from a small segment, the blended rate describes that segment, not your database reactivation program.

For insurance agencies the stakes are uneven by design. A reactivated policy is worth years of premium, so a segment that yields fewer but longer-retained contacts can beat one that yields more one-off conversations. A blended rate hides exactly that difference.

The fix is structural, not analytical. Ask for the report broken out by disposition code and by segment, so you can see where the value came from and where it did not.

Treat the thresholds in this guide as a starting framework and adjust them to your own book. With that framing in place, the next section sorts metrics into inputs and outputs.

Inputs vs. Outputs: Sorting the Numbers Before You Read Them

Once you stop trusting the blended figure, the next move is structural: label every line before you interpret it. Inputs describe effort and reach, including list size, dial volume, attempts per record, connect rate, talk time and callbacks offered. They answer one question: did the campaign run as scoped. Outputs describe results, including recovery rate by segment, qualified leads, appointments booked, policies restarted, cost per recovered contact and revenue per contact reached. They answer whether it worked.

Ratios sit in between, and they are trustworthy only when both numbers are visible. Connect rate is a reach ratio; recovery per contact reached is an outcome ratio. Neither means anything without its denominator.

Never let an input stand in for an output. High dial volume is a cost line, not an achievement, and a report showing only volume is reporting activity, not results. Label each line so you can see which lever you can actually pull, a habit worth carrying into every campaign you build with Aidan.

Ask your Aidan campaign contact to pull the disposition-level and segment-level data from your campaign.

Dial Volume and Connect Rate: They Prove the Campaign Ran

Once the report is sorted, read the input lines first.

Dial volume answers one question: did the campaign reach the scale you paid for, on the list you specified, in the agreed time window? It is a scope check, not a result.

Connect rate is conversations divided by attempts. A low connect rate usually points to list quality, number validity, or calling window before it points to agent performance.

Split connects before you trust them. Live answers, voicemail, no answer, and busy deserve separate lines. Some reports count a voicemail drop as a connection; it is not a conversation in any useful sense.

Watch for order effects. If connect rate falls sharply partway through the list, the reachable records were likely called first and the tail is materially colder.

Compare connect rate by segment to see where reachable contacts actually live. The segments with the highest connect rate often are not the segments with the highest recovery rate, and that gap is the most useful thing in the report. Aidan's campaign setup for Farmers and Allstate agencies is structured to make those segment priorities explicit from the start.

Treat connect rate as an input diagnostic. It explains why a recovery figure looks the way it does. On its own, it does not justify running round two.

Recovery Rate by Segment: The Output Metric That Decides Anything

Connect rate proves reach. Recovery rate proves whether reach produced anything.

Recovery rate is the share of a defined group that re-engaged: restarted a quote, booked an appointment, resumed a policy, or asked for an agent. Define that before you read the number, or you will compare different definitions across two reports.

The denominator is the whole argument. Recoveries per contact reached measures how well the conversation converted. Recoveries per record on the list measures how well the whole list was selected. The same campaign tells opposite stories depending on which you divide by.

Segment the database before you segment the report. Workable groups include lapsed policyholders, unconverted quotes, older inbound leads, never-contacted records, and unreachable or duplicate records. Never blend never-called contacts with lapsed customers; a record with no relationship history converts differently, and mixing the two flattens the signal you need.

Find the segment carrying the campaign. If most recoveries came from two or three segments, round two belongs there, and the rest should be re-scoped or dropped.

Use Aidan's published case study results when quoting performance figures. Do not extend one campaign's result to an entire database, and do not present a threshold as an industry standard. These are a framework for comparing your own segments and rounds.

Cost per Recovered Contact and Revenue per Contact Reached

Recovery rate tells you whether a segment re-engaged. Two ratios tell you whether it was worth paying for.

Cost per recovered contact is campaign cost divided by recoveries in that segment. It converts a rate into a purchasing decision: what did each recovered conversation cost? Revenue per contact reached is attributable revenue divided by contacts reached. It prices the whole list, not just the wins, which is why it survives a budget conversation.

Both need segment denominators. A cheap segment with low-value contacts can look more efficient than a costlier one that restarts long-retention policies, and that comparison leads to the wrong call. Price the recovered policy before judging the cost: premium, expected retention, cross-sell and referral value belong on the revenue side, not just the first transaction. Weighing value across the full relationship rather than the first sale is the principle behind fair value assessments in regulated financial services. The same logic applies when you compare what one call-coverage option costs against another once CRM sync and follow-up are counted.

Report cost and revenue on the same segmentation as recovery rate. The next section shows how disposition codes and segment splits make that separation visible. Aidan treats these thresholds as methodology, not published benchmarks, so compare your own segments and rounds against each other.

Ask for the Breakout: Disposition Codes and Segment Splits

Those ratios only hold when each line traces to a segment and a disposition.

Disposition codes are the raw events behind the summary: answered, no answer, voicemail, callback requested, qualified, appointment set, not interested, wrong number, do not call. Without them, a poor recovery rate is undiagnosable. Unreachable records point to a list fix. A high not-interested rate points to an offer or script fix. Same number, opposite remedy.

Ask for the cross-tab: disposition code by segment. The pattern is usually a cluster, not one code. Wrong numbers pile into one segment, callbacks into another.

Confirm the report captures opt-out, revocation, and do-not-call dispositions, because those records must be excluded from any list handed back for round two. Treat that as our recommendation, with counsel reviewing how your lists are built.

If a supplier or platform cannot produce segment and disposition splits, ask what the headline number is averaging over. A single blended campaign figure is not a smaller report; it is a different question.

Set the expectation before the campaign runs, not after. Reporting format is a scope decision, and it is far easier to specify upfront than to retrofit from call logs. If your list reaches contacts outside the US, confirm the applicable consent rules for those jurisdictions with counsel before you dial.

Round Two: Repeat, Narrow, or Stop

With the disposition cross-tab in hand, round two becomes a decision against thresholds you set in advance.

Repeat only when recovery rate, cost per recovered contact and revenue per contact reached all clear your bar across several segments. One strong segment may be luck; convergence across several is the signal to repeat.

Narrow when one or two segments carry nearly all the recoveries. Re-run just those, with a tighter script, a different calling window or a shorter campaign, so the comparison to round one stays clean. Tightening a script usually means sharpening what counts as qualified, and Aidan's qualification logic is built out for each client to define what counts as a qualified lead.

Stop and rework when dial volume and connect rate look healthy but recovery stays flat in every segment. That points at the offer, the list or the message, not at list size.

Change one variable per round. Alter the script, window and segment together and the next report cannot tell you which change did the work.

Re-dial deliberately. No-answer and voicemail records are often your cheapest second attempts at a different time of day. Give them their own segment for reporting.

Agree the thresholds before round two runs. Setting them after you see the number is how an agency talks itself into a third round of the same campaign.

One Extra Question: Consent Basis and Opt-Out Counts by Segment

Before you commit to round two, add one line to your report request: per segment, the consent basis recorded for those contacts and the count of opt-outs and revocations captured during the campaign. This is our recommendation, not a benchmark we can cite externally.

It is worth asking because the rules keep moving. The FCC confirmed that TCPA applies to AI-generated voices, and a July 2024 notice of proposed rulemaking proposed mandatory AI disclosure at the start of every AI-generated call. Sorting your book by consent position before the agent dials is the upstream half of this question.

The practical reason is operational, not legal. Revoked and opted-out records must be filtered out of any list you re-run, and reading the report is the cleanest moment to confirm that.

This is not a statement about state insurance or do-not-call requirements for agencies. Consent and revocation rules are jurisdiction specific and change quickly; have your own counsel review how your campaigns and lists are built before you act.

Keep it in proportion: consent reporting sits alongside the output metrics, not ahead of them.

Conclusion: Ask for the Right Report, Then Decide

Keeping that consent question in proportion leaves one decision on the table: round two. Ask for disposition codes and segment breakouts before you read any campaign-level figure, and treat a blended number as a prompt to dig, not an answer.

The input/output split you applied earlier makes that decision clean.

Let segmented recovery rate and revenue per contact reached make the call on round two, and write your repeat, narrow and stop thresholds down before the campaign starts so the decision rests on a number rather than a feeling.

Ask for your results at segment and disposition level, that is the report that decides round two.