B2B Go-To-Market Playbook for Retail and CPG Sales Tech: Pick the Motion by Brand Tier, Sell to Sales and Finance

A brand agrees promotions with each retailer, the retailer takes the cost back as deductions from what it pays, and someone in finance matches those deductions to the promotions. Shortages and chargebacks land on the same desk. When the matching is slow, invalid deductions pass the dispute window and margin moves after the books close. Sales owns the plan and finance owns the mess, so a pitch that wins one side often stalls with the other.

Selling every brand the same way also stalls deals. A brand under $50 million in revenue and one above $2 billion differ in deal size, cycle and who signs.

Language stalls them too: a controller measures write-offs, open deductions by age and days to close, and a VP of Sales measures trade return per promotion. Neither thinks in outlet coverage or "adoption by role".

My record: FieldAssist, CMO, Apr 2023 to Sep 2024 (also described as Fractional CMO): 2.25x growth in mid-market and enterprise qualified leads; +30% organic website traffic with zero paid activity; LinkedIn followers from 10.5K to 23K+.

Five moves. Decide the motion per tier, because a tier sets deal size and who signs. Count the tier you choose from signs you can see. Map both buyers. Run discovery with each, because the case needs figures only they have. Then audit one retailer's deductions before anyone argues about ROI.

The tools draft each move and none knows this trade. GTM Alpha filed CPG sales tech under vertical SaaS with field sales notes, and ICP Intelligence used generic software measures.

About this example. Vividly is a real company. Vividly has not reviewed this guide. Facts about Vividly come from public sources, linked alongside with the date I checked them. Every number marked illustrative is an input I chose to show the method; it is not Vividly's data, and the outputs are exercise results, not Vividly's real strategy. What the software does for the worked brand is my assumption, not a claim about Vividly's product.

What is public: Vividly's blog, dated 11 March 2025, reports a $30 million Series B, and says "In 2024, we helped our customers manage over $2.6 billion in trade spend" and "onboarded 50 industry-leading brands" (company-reported). Its home page leads with "Trade Promotion And Deduction Management For CPG Brands", names sales, finance, accounting and revenue growth management teams, and groups brands as Emerging (up to $50M), Scaling ($50M to $2B) and Enterprise ($2B+). It also says "we offer a dispute service", so it sells some recovery work as well as software.

The worked deal is "a mid-size US food and beverage brand", a type in the scaling tier.

Step 1. Decide the motion per brand tier

Input to the EPIC audit in GTM Alpha, one run per tier. All three used the challenge "Trade promotion and deduction management software for CPG brands that sell through US retailers and distributors. Buyers are sales, finance and revenue growth management teams.", company_name Vividly, industry "CPG and retail sales tech", business_stage series-b, and three illustrative settings: nrr_percent 110, self_serve false and geography us_eu.

Illustrative inputs, not Vividly's data: tam_accounts, acv_usd, deal_cycle_days, deal_source.

What came back, in the table alongside. On the scaling tier, a tie at 7, with Ecosystem and ABM named first only by a tie rule.

How to read it: this is a rule score on your settings, not a reading of your business. Its printed reasons show why: Ecosystem starts at 7 for Series B, and Inbound at 6 plus 1 for the US or EU. So the tie rests on stage and region, and says nothing about this tier.

So the call is yours. Mine, on the illustrative figures: Step 2 leaves about 1,400 of these brands in scope, 35% of 4,000. That is too many to name at once, so I would take the 100 with the strongest visible signs, test named-account work on them for one quarter, and judge it on first meetings held with both a sales and a finance lead. A quarter shows activity, not closed deals. Take deal source from closed deals, not from my assumption. Replace the tool's sector notes too: "secondary sales" and "Reps will not use another app" belong to field sales software. I use trade return per promotion, deductions open over 60 days, write-offs a quarter and forecast accuracy.

Step 4. Run discovery with both buyers

For the controller, input to the discovery question bank: framework meddpicc; deal_stage discovery; your_sector vertical_saas; prospect_role "Controller"; prospect_industry "Mid-size US food and beverage brand selling through national grocery retailers and distributors"; your_solution "Vividly: trade promotion and deduction management"; known_pain_points "Retailer deductions are matched to promotions by hand in spreadsheets; Trade accruals are trued up late, so margin moves after the books close; Invalid deductions that pass the dispute window are written off"; known_metrics "Open deductions older than 60 days; dollars of deductions written off per quarter; days to close the books"; gaps_to_fill "Whether the VP of Sales or the CFO owns the trade budget, and who signs a tool that serves both sales and finance". The pains are illustrative.

How to read it: keep "Which finance numbers are late or reworked each period, and why?" Delete any block about another sector's retail or field sales work, and the question on "a pilot with one team": Step 5 says why. Its opening and close reach for "adoption by role"; ask for the three metrics I typed instead. I rewrote the rest in trade measures, alongside.

For the VP of Sales, run it again with prospect_role "VP of Sales". The questions stay generic, so I write this buyer's myself, alongside. The value line is theirs too: which promotions paid back, in time to change the next plan. Step 5 gives it a reading.

Before you leave, ask for one retailer's write-offs and open deductions, and for the Deductions Analyst's time on the audit.

Step 5. Audit one retailer, then build the case

Measure backwards. A forward pilot cannot do this job: a would-be write-off exists only once the retailer's dispute window closes. Windows vary by retailer. SPS Commerce reports 180 days from invoice for billing inquiries at one large grocer, and does not say that covers every deduction type, so read each type's window in the retailer's own terms. At 180 days, a 90-day trial ends first.

So run a look-back audit during the sale. It costs you analyst days, so keep it for deals with both signers named. Your solutions analyst does the work and the brand's Deductions Analyst checks it. Sign an NDA first, since the file holds retailer terms and promotion spend. Take 12 months of one retailer's write-offs and open deductions, plus backup for the largest lines: promotion agreement, claim and proof of delivery. A status list cannot show that a deduction was invalid. Say what share of the dollars those lines cover, and take three readings.

1. Cash. For each write-off: was it invalid, and would the proof have won if someone had disputed it inside the window? That money is gone, but it sets the yearly leak, if next year looks like last. Illustrative: this retailer's write-offs run at $180,000 a year, 30% of the brand's $600,000, and 25% of them fail the test, $45,000. Not every dispute wins. SPS reports that suppliers "win back an average of 40% of the deductions they dispute", and one customer quoted on Vividly's home page reports $700K back on $1.1M disputed, about 64% (both company-reported). Use the brand's own rate. The audit screened for proof, so I use an illustrative 60%: $27,000 a year.
2. Prevention. How much of the invalid value traces to a cause better records would stop, such as a promotion that never reached the deductions team? Recovery collects after the fact; this money need not be collected at all.
3. Sales. On the last three promotions, how many days ran from promotion end to a known return, and did that beat the day the next plan locked? Illustrative: $900,000 of trade spend, returns known at 70 days, plan locked at 45, so the next plan repeated that spend with no return in hand. That is the VP of Sales's number. It sits beside the sum, not in it.

Anything invalid and still open today is a separate one-time find. File it, and keep it out of the annual value. The brand keeps the list, and can file it alone or hand it to a recovery firm. Accept that: it is their money, and it is why the case cannot rest on cash.

Before you open the file, agree with both signers what a strong prevention or sales reading looks like. If only cash is strong, say a recovery firm fits better, and stop. Report ranges by deduction type: the audit shows what could have been recovered, not what the team will recover.

Input to the ROI business case tool, three runs. Common to all: customer_name "Mid-size US food and beverage brand (illustrative)", annual_revenue $300 million, solution_price $40,000, the scaling ACV; primary_value_driver cost_reduction; your_sector vertical_saas; your_solution "Vividly trade promotion and deduction management software"; implementation_timeline "8 to 12 weeks" (illustrative). annual_value_estimate, all illustrative: $27,000, the audit cash; $51,000, adding a third less matching time on that retailer, $24,000 (three $80,000 analysts cost $240,000, 30% of that goes on this retailer, and a third of it is saved); and $170,000, the same rates on the whole brand, $90,000 of cash (60% of 25% of $600,000) and $80,000 of time.

What came back, in the table alongside. The tool measured nothing: it multiplied the value I typed. I dropped its payback row because it ignores setup. Its medium confidence label is no evidence, so judge the case on the audit.

How to read it: the first column is the floor, and it loses. On one retailer, cash does not pay the price, and it would take an 89% win rate to reach $40,000. Say so before the CFO does. The case, if there is one, is the whole brand: $90,000 of cash a year. With 8 to 12 weeks of setup, year one gets about $69,200 to $76,200 of it, against $46,000 with the tool's example $6,000 implementation line. That holds only if the rates extend, so extend them only to retailers with similar deduction types and windows. Time stays labelled: it is not cash unless the freed hours go to disputes, where the recovery already counts them.

Put the alternative in the sum. Some firms recover deductions on contingency: one offers "No setup fee, no monthly minimum" and takes a share of what it recovers (a vendor page, so directional, and it prints no rate). At an illustrative 25% of that same $90,000, the firm costs $22,500 a year against your fixed $40,000, and it stays cheaper until its share passes 44%. And it charges nothing unless it recovers. So on cash alone you lose. Vividly's dispute service can meet part of that; a pure software seller cannot. Your answer has to be what recovery does not do: the prevention and sales readings, and less matching time. If those are weak, expect to lose.

Two signers, a wide buying group and a ledger change may not close in my illustrative 60 days. If yours runs past 90, the scaling tie ends for Ecosystem and ABM. Take that as a fact about your motion.

This is the point where I would want a second pair of eyes: sales and finance disagree before the retailer case goes to the buyer. Bring me your retailer data, trade-spend definitions, cost lines and both buyers, and we will work it through in 45 minutes.

1. Run the EPIC audit once per brand tier with your own figures, and decide any tie yourself.
2. Count your tier from two sources, and hand-check 100 brands for signs you can see from outside.
3. Map the buying group for your next five deals: name both signers and the daily user.
4. Write discovery for both buyers in trade measures, and ask who recovers deductions today.
5. Offer one look-back audit on one retailer, take the cash, prevention and sales readings, and compare the result with a recovery firm.

1. Selling every brand tier the same way. A tie needs a decision.
2. Winning finance and leaving sales without a reason, or the reverse.
3. Using field sales or software measures with a controller.
4. Running a pilot shorter than the dispute window. Audit backwards instead.
5. Leaving the alternative out of the sum. A recovery firm, rival software or doing nothing is what you are compared with.

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