SalesProspecting & Outreach

AI Prompts for Prospecting Strategy

A prospecting strategy answers how many conversations you need, with whom, through which channels, at what cadence — and whether the team can actually do that. The arithmetic is unforgiving: pipeline target divided by win rate and deal size gives opportunities needed, divided by meeting-to-opportunity rate gives meetings, divided by response rate gives touches. Most prospecting plans fail because that math was never done, or was done with rates borrowed from someone else's business.

These prompts do the math with your rates, design the channel mix and cadence, and turn it into a plan with capacity and measurement. Sequences, angles and scripts have their own pages; this is the plan they fit inside.

Before you use these

Have these ready to replace the highlighted [variables]:

Pipeline target for the period and the share expected from outbound
Your conversion rates: touches → reply, reply → meeting, meeting → opportunity, opportunity → win; average deal size
Team: SDRs/AEs, hours available for prospecting, tools
Channels available and their historical performance

The prompts

1. Work the funnel math backward from target
2. Design the channel mix and cadence
3. Build the prospecting plan and measurement

1. Work the funnel math backward from target

Best forKnowing exactly how much activity the target implies before committing to it.

Inputs needed

Target
Conversion rates
Capacity

How to use itUse your own rates, even if they are rough. The model shows the required volume and how sensitive it is to each rate.

Expected outputFunnel table from target to daily touches, capacity comparison, sensitivity to each rate, and the gap-closing options.

Act as a sales operations analyst building the prospecting funnel math for [team / period].

Target: [pipeline or bookings target; share from outbound]
Rates: [touch → reply %, reply → meeting %, meeting → opportunity %, opportunity → win %, average deal size, sales cycle days]
Capacity: [reps, prospecting hours per rep per week, touches per hour by channel]
Timing: [period length; lead time between activity and pipeline given cycle length]

1. Work backward: bookings → opportunities needed → meetings needed → replies needed → touches needed. Show each step and the cumulative arithmetic.
2. Convert touches to weekly and daily activity per rep, and compare to capacity. State the surplus or shortfall.
3. Timing: given the sales cycle, when must the activity happen for the pipeline to land in the period? Show the required front-loading.
4. Sensitivity: the effect on required touches of a ±20% change in each conversion rate. Identify the rate with the most leverage.
5. Gap-closing options if capacity is short: improve the highest-leverage rate (with what), add capacity, shift channel mix, lower the outbound share of target — with the effect of each.
6. The two rates most likely to be wrong in our inputs and how to measure them properly.

Show all arithmetic. If the required activity is more than [x]× capacity, say the target is not credible from outbound alone.

2. Design the channel mix and cadence

Best forChoosing channels and touch spacing from evidence and buyer behavior, not habit.

Inputs needed

Channel performance data
Buyer profile
Capacity by channel

How to use itGive whatever channel data you have (reply and meeting rates by channel). The model proposes a mix and a cadence skeleton and explains the trade-offs.

Expected outputChannel mix with rationale, cadence skeleton (touches, channels, spacing, duration), per-tier variations, and the tests to run.

You are designing the channel mix and outreach cadence for prospecting into [segment / persona].

Channel data: [by channel: reply rate, meeting rate, cost or time per touch, deliverability/compliance constraints]
Buyer profile: [role, seniority, where they are reachable, what they respond to, what they ignore]
Capacity: [touches per week by channel]
Tiers: [A/B/C treatment expectations]

1. Recommend the channel mix per tier (email, phone, LinkedIn, video, direct mail, events, warm intros) with the reasoning from the data and the buyer profile; note where data is missing and the mix is a hypothesis.
2. Cadence skeleton per tier: number of touches, channel per touch, spacing in days, total duration, and the exit rule. Justify the spacing (buyer attention, deliverability, capacity).
3. Sequencing logic: which channel opens, when the phone enters, when to stop — with the reason.
4. Personalization depth per tier and touch (which touches are researched, which are templated).
5. Compliance and deliverability constraints applied (regional rules, sending limits, opt-out handling).
6. Tests to run in the first 60 days: two variables per tier, the metric, and the sample needed to read a result.

Present as a mix table and a cadence table. Do not propose a cadence longer than the buyer's attention or the team's capacity.

3. Build the prospecting plan and measurement

Best forA plan with weekly targets per rep and the measures that show whether the assumptions hold.

Inputs needed

Funnel math
Channel mix and cadence
Team roster

How to use itThe model assembles the plan and defines the leading indicators to watch weekly, so course corrections happen before the quarter is lost.

Expected outputPlan with per-rep weekly targets, ramp, leading indicators with thresholds, review cadence, and the first-30-days checklist.

Act as a sales development leader building the prospecting plan for [team / quarter].

Funnel math: [required activity and rates]
Channel mix and cadence: [summary]
Team: [reps, tenure, ramp status, tools]
Target lists: [accounts by tier per rep]

1. Weekly targets per rep: accounts started, touches by channel, replies, meetings, opportunities — adjusted for ramp.
2. Weekly operating rhythm: list refresh, sequence starts, call blocks, pipeline handoff, review meeting.
3. Leading indicators with thresholds: reply rate, meeting rate, meetings per rep, sequence completion, list exhaustion — and the action when a threshold is missed (message change, list change, coaching, capacity).
4. Lagging indicators: opportunities created, pipeline value, conversion to closed-won — with the lag expected.
5. Handoff rules to AEs: qualification bar, information required, SLA for follow-up, feedback loop.
6. First-30-days checklist: what must be in place (lists, sequences, tracking, definitions) and the review at day 30.

Present as a plan with a weekly scorecard template. Keep targets consistent with the funnel math; do not round them up.

Funnel math, worked

Illustrative figures for a team of four SDRs targeting outbound-sourced pipeline for a quarter.

Target = 1.2m new pipeline this quarter from outbound Average deal = 40k → 30 opportunities needed Meeting → opp = 40% → 75 meetings Reply → meeting = 30% → 250 positive replies Touch → positive reply = 2.5% → 10,000 touches in the quarter Per SDR per week (4 SDRs, 12 weeks) ≈ 208 touches ≈ 42 per day Capacity check: 4 hours/day of prospecting × ~12 touches/hour ≈ 48/day → feasible, no slack Timing: 60-day cycle → meetings must land by week 6 for pipeline to count this quarter, so 10,000 touches compress into ~7 weeks ≈ 71/day per SDR → NOT feasible Options: lift touch→reply to 3.5% with better angles (touches fall to ~7,100); accept that Q pipeline lands next quarter; or add capacity for weeks 1–6. The rate with the most leverage is touch→reply: +1 point saves ~2,900 touches.

The plan looked feasible until the sales cycle was applied. Most prospecting plans are broken by timing, not volume.

Related prompts

Logical next step

After this, most sales teams move on to Account Prioritization.

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