Who are the sales force effectiveness consultants for pharma companies in South Africa?
We run sales force effectiveness work for pharmaceutical companies in South Africa. A paid diagnosis comes first; the sales analytics, territory design, incentive design and field force training follow where its findings call for them. For a pharmaceutical manufacturer, we set claimed call activity against customer purchasing and exposed a 4x gap between its highest and lowest performers.
What does our sales force effectiveness work cover?
It covers four pieces of work on one field force, built on the same commercial data. SNIPER™ Sales Analytics turns raw transaction data into field intelligence, including a prioritised customer brief delivered to each rep every Monday. Territory design and target setting have their own answer on who designs territories and sets targets, and incentive schemes on who designs incentive schemes. Pharmaceutical Field Force Training trains existing teams and new hires with the MCA Code and SAHPRA regulations built in, and trains managers to coach through structured field accompaniment.
How does the work start?
Every partnership starts with DiaDoc™, a paid, fixed-scope examination: confidential sessions with your senior stakeholders, a structured executive workshop, and evidence taken from your own commercial data. The findings are documented in writing before anything is proposed. They decide what follows: no further work, a roadmap you run yourselves, or a partnership with us on the work the findings call for.
What has the work delivered for pharmaceutical field forces?
For a pharmaceutical manufacturer whose revenue per rep was falling despite years of field force expansion, we set CRM call records against customer purchase data, expense claims and manager field visit records. The analysis exposed a 4x gap between the highest and lowest performer, on the same salary and incentives. The cause sat mainly in the system around the reps: high performers held territories with 40 percent less customer potential than average, call claims went unverified, and bonuses rewarded activity metrics that were easily gamed. After territory rebalancing, an incentive redesign tied to verified outcomes and weekly field intelligence, average revenue per rep rose 16 percent within six months. The detail is in the case study.
For a pharmaceutical distributor that had no sales capability, we designed the territory structure before recruiting anyone, then recruited a 13-person team, trained it and provided embedded leadership for its first six months. The team reached 118 percent of its first-year revenue target. The detail is in the case study.
What do we need from you?
For the analytics, we need customer-level transaction data, at minimum 12 to 24 months of it, and your current territory structure, as set out on the sales analytics page. Your CRM call records let us test claimed activity against what customers bought. For the diagnosis, we need time with your senior stakeholders, for the confidential sessions and the executive workshop.
When is it not the right fit?
It is not the right fit if you want individual reps ranked for performance management before the system around them has been examined. We check territories, incentives and field management first, then address the individuals who still cannot perform. It is also not a route into further work by default: DiaDoc™ can conclude that you need nothing from us, and we say so.
Frequently asked questions
What does your sales force effectiveness work include?
It includes sales analytics, territory design, target and incentive design, and field force training, all built on the same commercial data. A paid diagnosis comes first, and its findings decide which of them, if any, follow.
Why does the work start with a diagnosis?
So that what is wrong is found and put in writing before anything is proposed. DiaDoc™ is a paid, fixed-scope examination built from confidential sessions with your senior stakeholders, a structured executive workshop and evidence from your own commercial data, and it can conclude that no further engagement is warranted.
Can you find out why some reps sell far more than others?
Yes. For a pharmaceutical manufacturer, we set CRM call records against customer purchasing and found a 4x gap between the highest and lowest performer. The main causes sat in the system rather than in the reps: unequal territories, unverified call claims and bonuses tied to activity metrics that were easily gamed.
Can you build a field force where none exists?
Yes. For a pharmaceutical distributor with no sales capability, we designed the territories before recruiting, then recruited and trained a 13-person team and provided embedded leadership for its first six months. The team reached 118 percent of its first-year revenue target.
What data does the work need?
For the sales analytics, we need at minimum 12 to 24 months of customer-level transaction data and your current territory structure. CRM call records let us test claimed activity against what customers actually bought.